{"id":51,"date":"2026-11-02T02:34:22","date_gmt":"2026-11-02T02:34:22","guid":{"rendered":"https:\/\/therisk.global\/human-development\/?page_id=51"},"modified":"2026-11-02T02:34:22","modified_gmt":"2026-11-02T02:34:22","slug":"causal-inference","status":"publish","type":"page","link":"https:\/\/therisk.global\/human-development\/stem\/causal-inference\/","title":{"rendered":"Impact evaluation for human development"},"content":{"rendered":"\n<!-- Nexus network page \u00b7 https:\/\/therisk.global\/human-development\/stem\/causal-inference\/ \u00b7 source template \u00b7 generated by integrations\/wordpress\/network\/build.mjs, never edit this file --><script>window.nexusLiveStrings={\"label\":\"Load the live map\",\"note\":\"Imagery and feeds come from other services (NASA, USGS, OpenStreetMap) and load only when you ask.\"};<\/script><script>(function(){\"use strict\";var n=window,l=document,y=\"nexus.live-map\",$=\"nexus.live-map.reload\";if(n.NXLive){return}var E=[\/(^|\\.)gibs\\.earthdata\\.nasa\\.gov$\/i,\/(^|\\.)eonet\\.gsfc\\.nasa\\.gov$\/i,\/(^|\\.)power\\.larc\\.nasa\\.gov$\/i,\/(^|\\.)earthquake\\.usgs\\.gov$\/i,\/(^|\\.)open-meteo\\.com$\/i,\/(^|\\.)openfreemap\\.org$\/i,\/(^|\\.)openstreetmap\\.org$\/i,\/(^|\\.)cartocdn\\.com$\/i,\/(^|\\.)arcgisonline\\.com$\/i,\/(^|\\.)maplibre\\.org$\/i,\/(^|\\.)protomaps\\.com$\/i,\/(^|\\.)versatiles\\.org$\/i,\/(^|\\.)amazonaws\\.com$\/i,\/(^|\\.)raw\\.githubusercontent\\.com$\/i,\/(^|\\.)media\\.githubusercontent\\.com$\/i,\/(^|\\.)geoboundaries\\.org$\/i,\/(^|\\.)jsdelivr\\.net$\/i,\/(^|\\.)unpkg\\.com$\/i,\/(^|\\.)cdn[j]s\\.cloudflare\\.com$\/i,\/(^|\\.)googleapis\\.com$\/i,\/(^|\\.)gstatic\\.com$\/i];var C=[\/(^|\\.)amazonaws\\.com$\/i];var b=n.nexusLiveStrings?n.nexusLiveStrings:{};var A={label:b.label?b.label:\"Load the live map\",note:b.note?b.note:\"Imagery and feeds come from other services (NASA, USGS, OpenStreetMap) and load only when you ask.\"};var I=[\"experience\",\"external\",\"optional-content\",\"embeds\",\"media\"];var p=[],u=[],k=0;function j(){try{if(n.localStorage.getItem(y)===\"1\"){return true}}catch(e){}try{return n.sessionStorage.getItem(y)===\"1\"}catch(e){return false}}function S(){var e=n.nexusConsent;if(!e){return null}return typeof e.allows===\"function\"?e:null}function z(){var e=n.nexusConsent;if(!e){return false}if(typeof e.granted!==\"function\"){return false}for(var t=0;t<I.length;t++){try{if(e.granted(I[t])){return true}}catch(r){}}return false}function d(e){var t=S();if(t){try{return t.allows(e?e:\"maps\")===true}catch(r){return false}}return j()?true:z()}function D(e){try{var t=e?typeof e===\"string\"?e:e.url?e.url:e.href?e.href:String(e):\"\";var r=new URL(t,l.baseURI);if(r.protocol!==\"http:\"){if(r.protocol!==\"https:\"){return\"\"}}return r.origin===n.location.origin?\"\":r.hostname}catch(o){return\"\"}}function X(e){for(var t=0;t<C.length;t++){if(C[t].test(e)){return\"globe\"}}return\"maps\"}function f(e){var t=D(e);if(!t){return false}var r=false;for(var o=0;o<E.length;o++){if(E[o].test(t)){r=true;break}}if(!r){return false}if(d(X(t))){return false}k++;return true}var w=0;function c(){if(w){return}w=setTimeout(function(){w=0;L()},250)}function v(e){setTimeout(function(){try{e.dispatchEvent(new Event(\"error\"))}catch(t){}},0)}var N=n.fetch;if(N){n.fetch=function(e){if(f(e)){c();return Promise.reject(new TypeError(\"Blocked until the live map is loaded\"))}return N.apply(this,arguments)}}var g=n.XMLHttpRequest?n.XMLHttpRequest.prototype:null;if(g){var K=g.open,_=g.send;g.open=function(e,t){this.__nxLiveUrl=t;return K.apply(this,arguments)};g.send=function(){if(f(this.__nxLiveUrl)){c();v(this);return}return _.apply(this,arguments)}}var h=n.HTMLImageElement?Object.getOwnPropertyDescriptor(n.HTMLImageElement.prototype,\"src\"):null;if(h){if(h.set){Object.defineProperty(n.HTMLImageElement.prototype,\"src\",{configurable:true,enumerable:h.enumerable,get:h.get,set:function(e){if(f(e)){c();v(this);return}h.set.call(this,e)}})}}var O=n.Element?n.Element.prototype.setAttribute:null;if(O){n.Element.prototype.setAttribute=function(e,t){if(e===\"src\"){if(this.tagName===\"IMG\"){if(f(t)){c();v(this);return}}}return O.apply(this,arguments)}}function M(e){if(!e){return false}if(e.tagName===\"SCRIPT\"){return f(e.src)}if(e.tagName===\"LINK\"){return f(e.href)}return false}if(n.Node){var G=n.Node.prototype.appendChild,Y=n.Node.prototype.insertBefore;n.Node.prototype.appendChild=function(e){if(M(e)){c();v(e);return e}return G.apply(this,arguments)};n.Node.prototype.insertBefore=function(e){if(M(e)){c();v(e);return e}return Y.apply(this,arguments)}}var R='[data-nx-map=\"ctx-field\"],[data-nx-le],[data-nx-eo],[data-grx-globe],[data-grx-obs],.nx-sb[data-nx-sb]';function T(){var e=[l];var t=l.querySelectorAll(\"*\");for(var r=0;r<t.length;r++){if(t[r].shadowRoot){e.push(t[r].shadowRoot)}}return e}function B(){var e=S();if(e){if(typeof e.enable===\"function\"){try{e.enable(\"maps\",\"site\")}catch(t){}try{e.enable(\"globe\",\"site\")}catch(t){}m();return}}try{n.localStorage.setItem(y,\"1\")}catch(t){try{n.sessionStorage.setItem(y,\"1\")}catch(r){}}m()}function F(e,t){var r=e.createElement(\"button\");r.type=\"button\";r.textContent=A.label;r.setAttribute(\"style\",\"pointer-events:auto;min-height:44px;min-width:44px;padding:0 18px;cursor:pointer;font:inherit;font-weight:600;font-size:14px;line-height:1.2;border-radius:2px;border:1px solid var(--nx-border-strong,#8a8a8a);background:var(--nx-text-primary,#111);color:var(--nx-bg-canvas,#fff)\");var o=\"nx-live-note-\"+Math.floor(Math.random()*1e9);r.setAttribute(\"aria-describedby\",o);r.addEventListener(\"click\",B);r.addEventListener(\"focus\",function(){r.style.outline=\"2px solid var(--nx-focus,#4c9aff)\";r.style.outlineOffset=\"2px\"});r.addEventListener(\"blur\",function(){r.style.outline=\"\"});var a=e.createElement(\"span\");a.id=o;a.textContent=A.note;a.setAttribute(\"style\",\"pointer-events:none;font-size:12px;line-height:1.4;padding:3px 7px;border-radius:2px;background:var(--nx-bg-canvas,#fff);color:var(--nx-text-secondary,#333);border:1px solid var(--nx-border-hairline,#bbb);max-width:34em\");t.appendChild(r);t.appendChild(a)}function W(e){var t=e.ownerDocument;var r=t.createElement(\"div\");r.className=\"nx-live-gate\";r.setAttribute(\"style\",\"position:absolute;inset-block-start:10px;inset-inline-start:10px;z-index:6;display:flex;flex-direction:column;align-items:flex-start;gap:6px;max-width:calc(100% - 20px);pointer-events:none;font:inherit\");var o=S();var a=false;if(o){if(typeof o.placeholder===\"function\"){try{var s=t.createElement(\"div\");s.setAttribute(\"style\",\"pointer-events:auto\");r.appendChild(s);o.placeholder(s,\"maps\");a=s.childNodes.length>0;if(!a){r.removeChild(s)}}catch(i){a=false}}}if(!a){F(t,r)}return r}function L(){if(d(\"maps\")){return}var e=T();for(var t=0;t<e.length;t++){var r=e[t].querySelectorAll(R);for(var o=0;o<r.length;o++){var a=r[o];if(a.getAttribute(\"data-nx-live-gate\")){continue}if(a.closest(\".nx-live-gate\")){continue}var s=a.getBoundingClientRect();if(s.width<120){continue}var i=a.querySelector(\".le-stage,.eo-stage\");if(!i){if(a.hasAttribute(\"data-nx-le\")||a.hasAttribute(\"data-nx-eo\")){continue}i=a}a.setAttribute(\"data-nx-live-gate\",\"1\");var H=n.getComputedStyle(i);if(H.position===\"static\"){i.style.position=\"relative\"}var U=W(i);i.appendChild(U);u.push({host:a,wrap:U,stage:i})}}J()}function J(){for(var e=0;e<u.length;e++){var t=u[e].stage,r=t?t.querySelector(\".nx-wm-presets\"):null;var o=r?r.getBoundingClientRect():null;if(o?o.height>0:false){var a=Math.round(o.bottom-t.getBoundingClientRect().top+8)+\"px\";if(u[e].wrap.style.insetBlockStart!==a){u[e].wrap.style.insetBlockStart=a}}}}function Q(){for(var e=0;e<u.length;e++){try{u[e].wrap.remove()}catch(t){}try{u[e].host.removeAttribute(\"data-nx-live-gate\")}catch(t){}}u=[]}function V(e,t,r){p.push({name:e,selector:t,fn:r});if(x){try{r(\"on\")}catch(o){}}}function Z(e){for(var t=0;t<p.length;t++){try{p[t].fn(e)}catch(r){}}}function ee(){var e=[],t=T();for(var r=0;r<t.length;r++){var o=t[r].querySelectorAll(R);for(var a=0;a<o.length;a++){var s=false;for(var i=0;i<p.length;i++){try{if(o[a].matches(p[i].selector)){s=true;break}}catch(H){}}if(!s){e.push(o[a])}}}return e}function te(e){if(k===0){return}if(ee().length===0){return}var t=e?\"on\":\"off\";try{if(n.sessionStorage.getItem($)===t){return}n.sessionStorage.setItem($,t)}catch(r){return}n.location.reload()}var x=d(\"maps\");function m(){var e=d(\"maps\");if(e===x){if(!e){c()}return}x=e;if(e){Q()}Z(e?\"on\":\"off\");if(!e){c()}try{l.dispatchEvent(new CustomEvent(\"nexus:live-map\",{detail:{granted:e}}))}catch(t){}te(e)}function q(){L();if(n.MutationObserver){var e=new n.MutationObserver(function(){if(x){return}c()});e.observe(l.documentElement,{childList:true,subtree:true});setTimeout(function(){e.disconnect()},2e4)}}if(l.readyState===\"loading\"){l.addEventListener(\"DOMContentLoaded\",q)}else{q()}n.addEventListener(\"load\",function(){setTimeout(L,400)});l.addEventListener(\"nexus-consent:ready\",m);l.addEventListener(\"nexus-consent:change\",m);var P=0;var re=setInterval(function(){P++;m();if(P>40){clearInterval(re)}},400);n.NXLive={allowed:d,blocked:f,grant:B,register:V,hosts:E.length}})();<\/script><style>.pix-dark-mode-switch, .bx-color-mode-toggle, .color-switcher, .page-headline { display: none !important; }<\/style><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-fig-engine\" data-nx-run=\"fig\" data-nx-src=\"nexus-embed-fig.e0043d1c48f4.js\" data-nx-sri=\"sha256-4AQ9HEj0t7DeCXoXRqlCRLwincTWj8Q0KfAo+eCw1Xc=\"><\/script><script data-digest=\"1HDcdXHFCxvm20tlR9FHTN8XvrJhNFlbW03tKxwWJ8I=\" type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-es-load\" data-nx-run=\"estates\">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<\/script><script type=\"application\/json\" class=\"_iub_cs_skip\" id=\"nxe-assets\">{\"nxe-es-code\":{\"f\":\"es-code.d470dc7571c5.txt\",\"s\":\"sha256-1HDcdXHFCxvm20tlR9FHTN8XvrJhNFlbW03tKxwWJ8I=\",\"a\":\"\"},\"nxe-gl-base-od\":{\"f\":\"gl-base-od.e0622a96e899.txt\",\"s\":\"sha256-4GIqluiZJntyAGfMYGNoAXwwxMKhdab+7YEFBoLlZ5o=\",\"a\":\" data-nx-pack=\\\"deflate\\\"\"},\"nxe-map-context\":{\"f\":\"map-context.a965226720a1.txt\",\"s\":\"sha256-qWUiZyChbKiTtLWpFCZROVpB5QISXNBKfepOJ+zOkWA=\",\"a\":\" data-nx-pack=\\\"deflate\\\"\"},\"nxe-map-pool\":{\"f\":\"map-pool.c31dae84875a.txt\",\"s\":\"sha256-wx2uhIda8fEz4BK1sUQO7edPcs22Bvn4FE0NpYLDyEo=\",\"a\":\" data-nx-pack=\\\"deflate\\\"\"},\"nxe-ml-src-code\":{\"f\":\"ml-src-code.5a99eb24c979.txt\",\"s\":\"sha256-WpnrJMl5+Rt6GCPchYzz9V8Fw\/mt0BVdtedF3t\/o0+o=\",\"a\":\"\"},\"nxe-xt-code\":{\"f\":\"xt-code.371023489e89.txt\",\"s\":\"sha256-NxAjSJ6JoGGZsXu22d+kvA4nR9AJ6Njy+\/Xy2FIyELw=\",\"a\":\"\"}}<\/script><script type=\"text\/x-nexus\" class=\"_iub_cs_skip\" id=\"nxe-mount\" data-nx-run=\"mount\">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<\/script><script class=\"_iub_cs_skip\" id=\"nxe-boot\" data-od=\"NxAjSJ6JoGGZsXu22d+kvA4nR9AJ6Njy+\/Xy2FIyELw=\">if(typeof window.__nxStill!==\"function\")window.__nxStill=function(){try{if(document.documentElement.hasAttribute(\"data-nx-still\"))return true;if(document.body?\/(?:^|\\s)mdp-readabler-stop-animations(?:\\s|$)\/.test(document.body.className):false)return true;var g=JSON.parse(window.localStorage.getItem(\"readabler\")||\"{}\");return g?g.stopAnimations===true||g.stopAnimations===\"true\"||g.stopAnimations===1:false}catch(G){return false}};(function(){function g(e,a){var f=atob(e),s=new Uint8Array(f.length),r;for(r=0;r< f.length;r++){s[r]=f.charCodeAt(r)}var o=0,i=0,u=0,n=new Uint8Array(Math.max(1024,s.length*6)),t=0;var c=[3,4,5,6,7,8,9,10,11,13,15,17,19,23,27,31,35,43,51,59,67,83,99,115,131,163,195,227,258];var d=[0,0,0,0,0,0,0,0,1,1,1,1,2,2,2,2,3,3,3,3,4,4,4,4,5,5,5,5,0];var m=[1,2,3,4,5,7,9,13,17,25,33,49,65,97,129,193,257,385,513,769,1025,1537,2049,3073,4097,6145,8193,12289,16385,24577];var y=[0,0,0,0,1,1,2,2,3,3,4,4,5,5,6,6,7,7,8,8,9,9,10,10,11,11,12,12,13,13];var ct=[16,17,18,0,8,7,9,6,10,5,11,4,12,3,13,2,14,1,15];function b(w){while(u< w){if(o>=s.length){throw new Error(\"nx-inflate: truncated\")}i|=s[o++]<< u;u+=8}var h=i%(1<< w);i>>>=w;u-=w;return h}function S(w,h,A){var v=new Uint16Array(16),_=new Uint16Array(16),p=new Uint16Array(A),x;for(x=0;x< A;x++){v[w[h+x]]++}v[0]=0;for(x=1;x<16;x++){_[x]=_[x-1]+v[x-1]}for(x=0;x< A;x++){if(w[h+x]){p[_[w[h+x]]++]=x}}return{count:v,sym:p}}function X(w){var h=0,A=0,v=0,_,p;for(_=1;_<16;_++){h|=b(1);p=w.count[_];if(h-p< A){return w.sym[v+(h-A)]}v+=p;A+=p;A<<=1;h<<=1}throw new Error(\"nx-inflate: bad code\")}function B(w){if(t+w<=n.length){return}var h=new Uint8Array(Math.max(n.length*2,t+w));h.set(n.subarray(0,t));n=h}var j=null,W=null,Y=0;while(!Y){Y=b(1);var q=b(2),J,H;if(q===0){i=0;u=0;var D=s[o]|s[o+1]<<8;o+=4;B(D);n.set(s.subarray(o,o+D),t);t+=D;o+=D;continue}if(q===1){if(!j){var Z=new Uint8Array(288),k=new Uint8Array(30);for(r=0;r<288;r++){Z[r]=r<144?8:r<256?9:r<280?7:8}for(r=0;r<30;r++){k[r]=5}j=S(Z,0,288);W=S(k,0,30)}J=j;H=W}else if(q===2){var F=b(5)+257,tt=b(5)+1,dt=b(4)+4,N=new Uint8Array(320),nt=new Uint8Array(19);for(r=0;r< dt;r++){nt[ct[r]]=b(3)}var lt=S(nt,0,19),U=0;while(U< F+tt){var O=X(lt),R=0,et=0;if(O<16){N[U++]=O;continue}if(O===16){if(!U){throw new Error(\"nx-inflate: bad repeat\")}et=N[U-1];R=3+b(2)}else if(O===17){R=3+b(3)}else{R=11+b(7)}while(R--){N[U++]=et}}J=S(N,0,F);H=S(N,F,tt)}else{throw new Error(\"nx-inflate: bad block\")}for(;;){var E=X(J);if(E<256){B(1);n[t++]=E;continue}if(E===256){break}E-=257;var rt=c[E]+b(d[E]),at=X(H),it=m[at]+b(y[at]);if(it>t){throw new Error(\"nx-inflate: bad distance\")}B(rt);for(var ot=0;ot< rt;ot++){n[t]=n[t-it];t++}}}return a?n.subarray(0,t):new TextDecoder(\"utf-8\").decode(n.subarray(0,t))}if(typeof window.__nxInflate!==\"function\"){window.__nxInflate=g}function G(e){var a=g(e,true),f=a[0]|a[1]<<8|a[2]<<16|a[3]<<24;var s=a.subarray(4+f);function r(o,i){var u=\"\",n=s.subarray(o,o+i);for(var t=0;i>t;t+=8192){u+=String.fromCharCode.apply(null,n.subarray(t,t+8192))}return btoa(u)}return JSON.parse(new TextDecoder(\"utf-8\").decode(a.subarray(4,4+f)),function(o,i){return i?i.$b?r(i.$b[0],i.$b[1]):i:i})}if(typeof window.__nxUnpack!==\"function\"){window.__nxUnpack=G}if(typeof window.__nxLate!==\"function\"){window.__nxLate=function(e,a){if(document.readyState!==\"loading\"){return null}if(!document.querySelector('template[data-nx-libs-last~=\"'+e+'\"]')){return null}return new Promise(function(f,s){document.addEventListener(\"DOMContentLoaded\",function(){var r=a();if(r){f(r)}else{s(new Error(\"nx-late: \"+e))}},{once:true})})}}if(typeof window.__nxAsset!==\"function\"){var I={};window.__nxAsset=function(e,a){if(I[e]){return I[e]}var f=document.getElementById(\"nxe-boot\"),s=[],r=window.NX_ASSET_BASE,o=f?f.getAttribute(\"data-nx-asset-base\"):\"\";if(r){s.push(String(r))}if(o){s.push(o)}s.push(\"\/wp-content\/uploads\/nexus-assets\/\");function i(t){if(!a){return t}return crypto.subtle.digest(\"SHA-256\",new TextEncoder().encode(t)).then(function(c){if(\"sha256-\"+btoa(String.fromCharCode.apply(null,new Uint8Array(c)))!==a){throw new Error(\"nx-asset: integrity\")}return t})}function u(t){if(t>=s.length){return Promise.reject(new Error(\"nx-asset: \"+e))}var c=s[t].charAt(s[t].length-1)===\"\/\"?s[t]:s[t]+\"\/\";return fetch(c+e,{credentials:\"omit\"}).then(function(d){if(!d.ok){throw new Error(\"nx-asset: \"+d.status)}return d.text()}).then(i).then(null,function(){return u(t+1)})}var n=u(0);I[e]=n;n.then(null,function(){delete I[e]});return n}}if(typeof window.__nxText!==\"function\"){window.__nxText=function(e){if(!e){return Promise.reject(new Error(\"nx-text: none\"))}var a=e.getAttribute(\"data-nx-asset\");if(a?!e.textContent:false){return window.__nxAsset(a,e.getAttribute(\"data-nx-sri\")||\"\")}return Promise.resolve(e.textContent)}}function ut(e){var a=e.getAttribute(\"data-nx-asset\");if(a?!e.textContent:false){return window.__nxAsset(a,e.getAttribute(\"data-nx-sri\")||\"\").then(function(n){return window.__nxInflate(n)})}var f=e.getAttribute(\"data-nx-src\");if(f?!e.textContent:false){var s=window.NX_RUNTIME||{},r=s.base||window.NX_RUNTIME_BASE||\"\",o=(s.files||{})[f.replace(\/\\.[0-9a-f]{12}(\\.js)$\/,\"$1\")]||null,i=[];if(r){i.push([r+f,e.getAttribute(\"data-nx-sri\")||\"\"])}if(o?!!o.url:false){i.push([o.url,o.sri||\"\"])}var u=function(n){if(n>=i.length){return Promise.reject(new Error(\"nx-lazy: \"+f))}var t={credentials:\"same-origin\"};if(i[n][1]){t.integrity=i[n][1]}return fetch(i[n][0],t).then(function(c){if(!c.ok){throw new Error(\"nx-lazy: \"+c.status)}return c.text()}).then(null,function(){return u(n+1)})};return u(0)}return Promise.resolve(window.__nxInflate(e.textContent))}function st(e){var a=e[0].getAttribute(\"data-nx-on-sight\")||\"[data-nx-map]\",f=null,s=false;function r(){if(s){return}s=true;if(f){f.disconnect()}var i=document.querySelectorAll(\"script[data-nx-on-sight][data-nx-asset]:not([data-nx-run])\"),u=[];for(var n=0;n!==i.length;n++){(function(t){if(t.textContent){return}u.push(window.__nxAsset(t.getAttribute(\"data-nx-asset\"),t.getAttribute(\"data-nx-sri\")||\"\").then(function(c){t.textContent=c;t.removeAttribute(\"data-nx-asset\")},function(){t.setAttribute(\"data-nx-ran\",\"failed\")}))})(i[n])}Promise.all(u.concat(e.map(function(t){return ut(t).then(null,function(){return null})}))).then(function(t){var c=t.slice(u.length);for(var d=0;d!==e.length;d++){if(c[d]===null){e[d].setAttribute(\"data-nx-ran\",\"failed\");continue}var m=document.createElement(\"script\");m.className=\"_iub_cs_skip\";m.setAttribute(\"data-nx-runtime\",e[d].getAttribute(\"data-nx-run\"));m.textContent=c[d];(document.head||document.documentElement).appendChild(m);e[d].setAttribute(\"data-nx-ran\",\"true\")}try{document.dispatchEvent(new CustomEvent(\"nexus:lazy-ready\"))}catch(y){}})}function o(){if(s){return}var i=[document],u=document.querySelectorAll(\".nxe-host\"),n=[],t,c;for(t=0;t!==u.length;t++){if(u[t].shadowRoot){i.push(u[t].shadowRoot)}}for(t=0;t!==i.length;t++){c=i[t].querySelectorAll(a);for(var d=0;d!==c.length;d++){n.push(c[d])}}if(!n.length){return}if(!window.IntersectionObserver){r();return}f=f||new IntersectionObserver(function(m){for(var y=0;y!==m.length;y++){if(m[y].isIntersecting){r();return}}},{rootMargin:\"800px 0px 800px 0px\"});for(t=0;t!==n.length;t++){if(!n[t].__nxLazySeen){n[t].__nxLazySeen=true;f.observe(n[t])}}}document.addEventListener(\"DOMContentLoaded\",o);document.addEventListener(\"nexus:runtime-ready\",o);window.addEventListener(\"load\",o);setTimeout(o,0)}var K=document.querySelectorAll(\"script[data-nx-run]\"),C=[],$=[];for(var z=0;z< K.length;z++){var l=K[z];if(l.hasAttribute(\"data-nx-ran\")){continue}if(l.hasAttribute(\"data-nx-on-sight\")){l.setAttribute(\"data-nx-ran\",\"waiting\");$.push(l);continue}if(l.hasAttribute(\"data-nx-src\")?!l.textContent:false){l.setAttribute(\"data-nx-ran\",\"loading\");C.push(l);continue}if(l.hasAttribute(\"data-nx-asset\")?!l.textContent:false){l.setAttribute(\"data-nx-ran\",\"loading\");C.push(l);continue}l.setAttribute(\"data-nx-ran\",\"true\");try{var L=document.createElement(\"script\");L.className=\"_iub_cs_skip\";L.setAttribute(\"data-nx-runtime\",l.getAttribute(\"data-nx-run\"));L.textContent=window.__nxInflate(l.textContent);(document.head||document.documentElement).appendChild(L)}catch(e){l.setAttribute(\"data-nx-ran\",\"failed\")}}if($.length){st($)}if(!C.length){return}var Q=window.NX_RUNTIME||{},V=Q.base||window.NX_RUNTIME_BASE||\"\",T=window.__nxMount,P=[];if(typeof T===\"function\"){window.__nxMount=function(e){P.push(e)}}function ft(){if(typeof T===\"function\"){window.__nxMount=T;for(var e=0;e< P.length;e++){try{T(P[e])}catch(a){}}}try{document.dispatchEvent(new CustomEvent(\"nexus:runtime-ready\"))}catch(a){}}function M(e){if(e>=C.length){ft();return}var a=C[e],f=a.getAttribute(\"data-nx-src\")||\"\",s=Q.files||{},r=[];if(a.hasAttribute(\"data-nx-asset\")){window.__nxAsset(a.getAttribute(\"data-nx-asset\"),a.getAttribute(\"data-nx-sri\")||\"\").then(function(u){var n=document.createElement(\"script\");n.className=\"_iub_cs_skip\";n.setAttribute(\"data-nx-runtime\",a.getAttribute(\"data-nx-run\"));n.textContent=window.__nxInflate(u);(document.head||document.documentElement).appendChild(n);a.setAttribute(\"data-nx-ran\",\"true\")}).then(null,function(){a.setAttribute(\"data-nx-ran\",\"failed\")}).then(function(){M(e+1)});return}var o=s[f.replace(\/\\.[0-9a-f]{12}(\\.js)$\/,\"$1\")]||null;if(V){r.push([V+f,a.getAttribute(\"data-nx-sri\")||\"\"])}if(o?!!o.url:false){r.push([o.url,o.sri||\"\"])}function i(u){if(u>=r.length){a.setAttribute(\"data-nx-ran\",\"failed\");M(e+1);return}var n=document.createElement(\"script\");n.className=\"_iub_cs_skip\";n.setAttribute(\"data-nx-runtime\",a.getAttribute(\"data-nx-run\"));if(r[u][1]){n.integrity=r[u][1]}n.onload=function(){a.setAttribute(\"data-nx-ran\",\"true\");M(e+1)};n.onerror=function(){if(n.parentNode){n.parentNode.removeChild(n)}i(u+1)};n.src=r[u][0];(document.head||document.documentElement).appendChild(n)}i(0)}M(0)})();<\/script><div class=\"nxe-host\" data-nxe-embed=\"n-g-p16-stem-causal-inference\"><div class=\"nxe\" id=\"nxe-nndml7h0\" data-inst=\"gcri\" data-theme=\"dark\" data-grammar=\"atlas\" data-domain=\"social\" data-arche=\"method\" data-density=\"airy\" lang=\"en\" data-nx-css=\"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\"><style>#nxe-nndml7h0.nxe{display:block;box-sizing:border-box;max-width:1180px;margin:0 auto;padding:0 16px;font-family:ui-sans-serif,system-ui,-apple-system,\"Segoe UI\",sans-serif;line-height:1.55;overflow-wrap:break-word}#nxe-nndml7h0.nxe :where(*,*::before,*::after){box-sizing:inherit}#nxe-nndml7h0.nxe :where(section,header,footer,nav,aside){display:block;margin:0 0 32px}#nxe-nndml7h0.nxe :where(h1,h2,h3,h4){line-height:1.2;margin:24px 0 12px;font-weight:600}#nxe-nndml7h0.nxe :where(p,ul,ol,dl,table,figure,details){margin:0 0 16px}#nxe-nndml7h0.nxe :where(ul,ol){padding-left:20px}#nxe-nndml7h0.nxe a{color:inherit;text-decoration:underline;text-underline-offset:2px}#nxe-nndml7h0.nxe table{border-collapse:collapse;width:100%;display:block;overflow-x:auto}#nxe-nndml7h0.nxe :where(th,td){padding:6px 8px;text-align:left;vertical-align:top;border-bottom:1px solid;border-color:inherit}#nxe-nndml7h0.nxe svg{display:none}#nxe-nndml7h0.nxe svg.nx-i{display:inline-block;width:18px;height:18px;vertical-align:-3px}#nxe-nndml7h0.nxe :where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-nndml7h0.nxe img{max-width:100%;height:auto}<\/style><svg class=\"nx-defs\" aria-hidden=\"true\" focusable=\"false\" width=\"0\" height=\"0\"><defs><linearGradient id=\"nx-gi\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-giu\" gradientUnits=\"userSpaceOnUse\" x1=\"0\" y1=\"0\" x2=\"800\" y2=\"0\"><stop offset=\"0\" class=\"nx-gi-a\"\/><stop offset=\"0.55\" class=\"nx-gi-b\"\/><stop offset=\"1\" class=\"nx-gi-c\"\/><\/linearGradient><linearGradient id=\"nx-gp\" x1=\"0\" y1=\"0\" x2=\"1\" y2=\"1\"><stop offset=\"0\" class=\"nx-gp-a\"\/><stop offset=\"1\" class=\"nx-gp-b\"\/><\/linearGradient><\/defs><\/svg><section class=\"nx-scene nx-es-scene\" data-scene=\"text\" data-ground=\"none\" data-es-org=\"gcri\" aria-labelledby=\"nx-scene-title\"><div class=\"nx-scene-intro nx-es-intro\"><p class=\"nx-eyebrow\"><abbr title=\"The Global Centre for Risk and Innovation\">GCRI<\/abbr> \u00b7 Society and Human Development<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Impact evaluation for human development<\/h1><p class=\"nx-scene-lede\">Causal inference and impact evaluation estimate whether programmes and shocks changed people&#8217;s lives, compared with what would otherwise have happened. In this field they evaluate <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 social-protection\" data-tk=\"Nexus risk vocabulary\" data-td=\"Public policies and programmes that help people manage risk and reduce poverty and vulnerability across their lives.\" data-ts=\"NRS-C1\" data-tr=\"draft\">social protection<\/a>, education and humanitarian programmes and the effects of disasters and conflict on wellbeing.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/human-development\/write-to-us\/contact\/\">Make an enquiry <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/human-development\/stem\/\">Back to STEM foundation of Society and Human Development<\/a><\/div><\/div><\/section><section id=\"nx-s-1-sec\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-s-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">01<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Register<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Impact evaluation for human development on the record.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"workbench\"><div class=\"nx-hero-panel\"><div class=\"nx-register\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Method record<\/strong><\/span><span class=\"nx-eyebrow\">STEM method<\/span><\/div><ol class=\"nx-register-rows\"><li><div><span class=\"nx-register-k\">Method<\/span><span class=\"nx-register-v\">Causal inference and impact evaluation<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Steward<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/economic-development\/\">Economic Development<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Applied in<\/span><span class=\"nx-register-v\">Society and Human Development<\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Data<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-data\">3 inputs<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Checks<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"#nx-sec-checks\">3 validation steps<\/a><\/span><\/div><\/li><li><div><span class=\"nx-register-k\">Canonical page<\/span><span class=\"nx-register-v\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/causal-inference\/\">STEM Commons<\/a><\/span><\/div><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-1\" data-hue=\"social\" aria-label=\"Application, Monitor, Data, Simulator\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Application, Monitor, Data, Simulator\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-1\" aria-controls=\"nx-sec-application\" aria-selected=\"true\" data-key=\"p1\">Application<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-2\" aria-controls=\"nx-s-3-sec\" aria-selected=\"false\" data-key=\"p2\">Monitor<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-3\" aria-controls=\"nx-sec-data\" aria-selected=\"false\" data-key=\"p3\">Data<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-1-tab-4\" aria-controls=\"nx-sec-instrument\" aria-selected=\"false\" data-key=\"p4\">Simulator<\/button><\/div><section id=\"nx-sec-application\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-2\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">02<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Application<\/span><\/div><h2 id=\"nx-s-2\" class=\"nx-section-title\">What causal inference and impact evaluation does here.<\/h2><p class=\"nx-lede\">Causal inference and impact evaluation develop methods to determine whether and how interventions or exposures cause outcomes. They separate genuine effects from correlation. In society and human development and information and public trust, causal inference shows which <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 risk-reduction\" data-tk=\"Nexus risk vocabulary\" data-td=\"Preventing new risk, reducing existing risk and managing residual risk, all contributing to resilience.\" data-ts=\"NRS-C1\" data-tr=\"draft\">risk reduction<\/a> measures actually work. It supports allocating resources toward interventions with demonstrated effect across connected risks. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/causal-inference\/\">the STEM Commons<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-cols\"><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><circle cx=\"12\" cy=\"12\" r=\"10\"\/><circle cx=\"12\" cy=\"12\" r=\"6\"\/><circle cx=\"12\" cy=\"12\" r=\"2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Evaluating cash transfers<\/h3><p class=\"nx-p nx-mt-1\">Randomised or quasi-experimental designs compare households that received transfers with similar households that did not, measuring effects on consumption, schooling and wellbeing.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M12 2v2\"\/><path d=\"m4.93 4.93 1.41 1.41\"\/><path d=\"M20 12h2\"\/><path d=\"m19.07 4.93-1.41 1.41\"\/><path d=\"M15.947 12.65a4 4 0 0 0-5.925-4.128\"\/><path d=\"M3 20a5 5 0 1 1 8.9-4H13a3 3 0 0 1 2 5.24\"\/><path d=\"M11 20v2\"\/><path d=\"M7 19v2\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Effects of disasters on households<\/h3><p class=\"nx-p nx-mt-1\">Panel surveys before and after disasters, with comparison areas, estimate effects on income, health and education and how long they last.<\/p><\/article><article><div class=\"nx-glyph-row\"><span class=\"nx-glyph\" data-tone=\"accent\" data-size=\"lg\"><svg class=\"nx-i\" viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\" fill=\"none\" stroke=\"currentColor\" stroke-width=\"1.5\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path d=\"M21.42 10.922a1 1 0 0 0-.019-1.838L12.83 5.18a2 2 0 0 0-1.66 0L2.6 9.08a1 1 0 0 0 0 1.832l8.57 3.908a2 2 0 0 0 1.66 0z\"\/><path d=\"M22 10v6\"\/><path d=\"M6 12.5V16a6 3 0 0 0 12 0v-3.5\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Education programme evaluation<\/h3><p class=\"nx-p nx-mt-1\">Learning programmes are evaluated with comparison groups and validated assessments to estimate effects on foundational skills.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-3\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">03<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Monitor<\/span><\/div><h2 id=\"nx-s-3\" class=\"nx-section-title\">Impact evaluation.<\/h2><p class=\"nx-lede\">The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-fk nx-cx\" data-fk=\"cx-society-method-causal\" data-cx=\"society.method-causal\" data-variant=\"section\" aria-label=\"Impact evaluation: illustrative console with example names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Impact evaluation<\/h3><p class=\"nx-fk-sub\">Society and human development \u00b7 Impact evaluation for human \u00b7 Run R-0051<\/p><\/div><div class=\"nx-fk-actions\"><button type=\"button\" class=\"nx-fk-btn\" data-fk-act=\"menu\" aria-haspopup=\"true\" aria-expanded=\"false\" hidden><svg viewBox=\"0 0 24 24\" aria-hidden=\"true\" focusable=\"false\"><path d=\"M12 4v11\"\/><path d=\"m7 10 5 5 5-5\"\/><path d=\"M5 20h14\"\/><\/svg>Export<\/button><ul class=\"nx-fk-menu\" data-fk-menu=\"true\" hidden><li><button type=\"button\" data-fk-act=\"export-png\">Image<small>PNG of the map or chart<\/small><\/button><\/li><li><button type=\"button\" data-fk-act=\"export-csv\">Data<small>CSV of the figure&#8217;s values<\/small><\/button><\/li><\/ul><\/div><\/div><div class=\"nx-cx-status\"><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>Parallel trends hold<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Society and Human Development<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Event study<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 460 210\" width=\"460\" height=\"210\" role=\"img\" aria-label=\"Event study\" focusable=\"false\" tabindex=\"0\" preserveAspectRatio=\"xMidYMid meet\" data-fk-chart=\"cx-society-method-causal-c0\" data-fk-xs=\"lin,0,23,36,446\" data-fk-ys=\"lin,0,100,180,20\" data-fk-series=\"Treated minus control|ink|l||0:35.9;1:40;2:38.8;3:33.7;4:38.9;5:34.4;6:31.2;7:32.9;8:37.3;9:38.4;10:42.5;11:38.7;12:35.4;13:30.2;14:35.5;15:34.7;16:32.3;17:28;18:26.9;19:27.3;20:30.4;21:32.4;22:29;23:23.8~Placebo|acc|l||0:40.6;1:43.7;2:41.5;3:43.7;4:41;5:40;6:37.3;7:34.9;8:35.6;9:36.3;10:32.7;11:31.8;12:30.3;13:32.8;14:31.5;15:28.5;16:28.4;17:25.7;18:21.9;19:25.7;20:23.4;21:23.3;22:19.7;23:20.1\" data-nx-z=\"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\"><\/svg><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"2\" data-t=\"kv\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Method card<\/h4><\/div><\/div><dl class=\"nx-fk-dl\"><div><dt>Method<\/dt><dd>Causal inference and impact evaluation<\/dd><\/div><div><dt>Design<\/dt><dd>difference in differences<\/dd><\/div><div><dt>Units<\/dt><dd>63<\/dd><\/div><div><dt>Label<\/dt><dd><span class=\"nx-fk-pill\" data-state=\"info\"><i aria-hidden=\"true\"><\/i>MODELLED<\/span><\/dd><\/div><\/dl><\/div><div class=\"nx-fk-panel nx-cx-p\" data-w=\"6\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Robustness checks<\/h4><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-society-method-causal-t2\"><table class=\"nx-fk-table\" data-fk-table=\"cx-society-method-causal-t2\" aria-label=\"Robustness checks\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Check<\/button><\/th><th scope=\"col\" data-col=\"c1\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c1\">Estimate<\/button><\/th><th scope=\"col\" data-col=\"c2\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Holds<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-society-method-causal:r2-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Main specification<\/td><td data-num=\"true\" data-sv=\"0.28\">0.28<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><\/tr><tr data-fk-key=\"cx-society-method-causal:r2-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Drop early adopters<\/td><td data-num=\"true\" data-sv=\"0.05\">0.05<\/td><td><span class=\"nx-fk-pill\" data-state=\"met\"><i aria-hidden=\"true\"><\/i>Yes<\/span><\/td><\/tr><tr data-fk-key=\"cx-society-method-causal:r2-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Synthetic control<\/td><td data-num=\"true\" data-sv=\"0.18\">0.18<\/td><td><span class=\"nx-fk-pill\" data-state=\"near\"><i aria-hidden=\"true\"><\/i>Weaker<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Impact evaluation: the screen&#8217;s structure, terms and states for Society and human development.<\/span><span data-honesty=\"true\">Example names and illustrative values; a design, not a record or a live system.<\/span><\/figcaption><\/figure><\/div><\/div><\/section><section id=\"nx-sec-data\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-4\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">04<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Data<\/span><\/div><h2 id=\"nx-s-4\" class=\"nx-section-title\">What the method consumes.<\/h2><p class=\"nx-lede\">Datasets and records used by causal inference and impact evaluation on this platform, with the role each plays and the label its values carry. Sources are listed in <a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/research\/sources\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Data<\/th><th scope=\"col\">Role<\/th><th scope=\"col\">Label<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Data\">Programme administrative data<\/td><td data-label=\"Role\">Treatment<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Data\">Panel household surveys<\/td><td data-label=\"Role\">Outcomes over time<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Learning assessments<\/td><td data-label=\"Role\"><a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/communities\/education-competence-and-training\/\">Education<\/a> outcomes<\/td><td data-label=\"Label\"><span class=\"nx-chip\">OBSERVED<\/span><\/td><\/tr><\/tbody><\/table><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"data\" data-nxf-kind=\"data\" data-nxf-resource=\"nexus:\/\/gcri\/G-P16\/stem\/causal-inference\/#data\" data-nxf-title=\"Method record\" data-nxf-height=\"520\" hidden><\/div><div class=\"nx-live-slot\" data-nxf-slot=\"evidence\" data-nxf-kind=\"evidence\" data-nxf-resource=\"nexus:\/\/gcri\/G-P16\/stem\/causal-inference\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-instrument\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-ns-layout=\"es-wide\" aria-labelledby=\"nx-s-5\" role=\"tabpanel\" data-band-tab=\"nx-band-1-tab-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">05<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Simulator<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">Stocks, flows, delays and a tipping threshold.<\/h2><p class=\"nx-lede\">Two stocks, pressure and <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 adaptive-capacity\" data-tk=\"Nexus risk vocabulary\" data-td=\"The ability of a system, institution or community to adjust to actual or expected change, take advantage of opportunities and moderate harm. Adaptive capacity works over longer time horizons than coping.\" data-ts=\"NRS-C1\" data-tr=\"draft\">adaptive capacity<\/a>, joined by a reinforcing growth loop, a delayed balancing response and damage when pressure outruns capacity; past the threshold the system can tip. Teaching model with stated illustrative values, not a prediction.<\/p><\/div><div class=\"nx-section-body\"><figure class=\"nx-in nx-fk\" id=\"nx-in-human-development-stem-causal-inference-0\" data-nxi=\"sd\" data-nxi-id=\"sd\" data-nxi-z=\"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\" aria-label=\"Stocks, flows, delays and a tipping threshold\"><div class=\"nx-in-body\"><div class=\"nx-in-main\"><div class=\"nx-in-tabs\" data-nxi-tabs=\"true\" aria-label=\"Views of the model\" hidden><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"result\">Result<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"loops\">Loops<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"fan\">Uncertainty<\/button><button type=\"button\" class=\"nx-in-tab\" data-nxi-view=\"tornado\">Sensitivity<\/button><\/div><div class=\"nx-in-stage\" id=\"nx-in-human-development-stem-causal-inference-0-stage\" data-nxi-stage=\"true\" data-view=\"result\"><svg class=\"nx-in-svg\" viewBox=\"0 0 720 340\" role=\"img\" aria-label=\"Stocks over time\" data-nx-z=\"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\"><\/svg><\/div><p class=\"nx-in-tip\" data-nxi-tip=\"true\" aria-live=\"polite\"><\/p><div class=\"nx-in-bar\" data-nxi-bar=\"true\" role=\"group\" aria-label=\"Play over time\" hidden><button type=\"button\" class=\"nx-in-btn\" data-nxi-prev=\"true\" aria-label=\"Step back\">&#8249;<\/button><button type=\"button\" class=\"nx-in-btn\" data-nxi-play=\"true\" aria-pressed=\"false\">Play<\/button><button type=\"button\" class=\"nx-in-btn\" data-nxi-next=\"true\" aria-label=\"Step forward\">&#8250;<\/button><span class=\"nx-in-step\" data-nxi-step=\"true\" aria-live=\"polite\"><\/span><\/div><\/div><div class=\"nx-in-side\"><p class=\"nx-eyebrow\">Controls<\/p><div class=\"nx-in-ctl\" data-nxi-ctl=\"true\"><dl class=\"nx-in-pv\"><div><dt>Growth of pressure<\/dt><dd>6.0% a year<\/dd><\/div><div><dt>Efficacy of capacity in reducing pressure<\/dt><dd>4.0% a year<\/dd><\/div><div><dt>Investment response to perceived pressure<\/dt><dd>20%<\/dd><\/div><div><dt>Perception delay<\/dt><dd>4.0 years<\/dd><\/div><div><dt>Tipping threshold of pressure<\/dt><dd>60 index<\/dd><\/div><div><dt>Amplification past the threshold<\/dt><dd>2.0 times<\/dd><\/div><div><dt>Years simulated<\/dt><dd>50 years<\/dd><\/div><\/dl><\/div><p class=\"nx-eyebrow\">Readouts<\/p><dl class=\"nx-in-out\" data-nxi-out=\"true\" aria-live=\"polite\"><div><dt>Peak pressure<\/dt><dd>113 index<\/dd><\/div><div><dt>Capacity at the end<\/dt><dd>186 index<\/dd><\/div><div><dt>Years over the threshold<\/dt><dd>15.8 years<\/dd><\/div><\/dl><\/div><\/div><details class=\"nx-in-more\"><summary>Numbers, methods and sources<\/summary><div class=\"nx-in-more-in\"><div class=\"nx-in-tblw\" data-nxi-table=\"true\"><table class=\"nx-in-tbl\"><thead><tr><th scope=\"col\">Year<\/th><th scope=\"col\">Pressure<\/th><th scope=\"col\">Capacity<\/th><th scope=\"col\">Perceived<\/th><\/tr><\/thead><tbody><tr><th scope=\"row\">0<\/th><td>20.0<\/td><td>50.0<\/td><td>20.0<\/td><\/tr><tr><th scope=\"row\">4<\/th><td>23.3<\/td><td>44.9<\/td><td>21.2<\/td><\/tr><tr><th scope=\"row\">8<\/th><td>27.2<\/td><td>42.2<\/td><td>24.0<\/td><\/tr><tr><th scope=\"row\">12<\/th><td>31.7<\/td><td>42.3<\/td><td>27.7<\/td><\/tr><tr><th scope=\"row\">16<\/th><td>36.8<\/td><td>45.5<\/td><td>32.2<\/td><\/tr><tr><th scope=\"row\">20<\/th><td>42.3<\/td><td>51.5<\/td><td>37.2<\/td><\/tr><tr><th scope=\"row\">24<\/th><td>47.9<\/td><td>60.3<\/td><td>42.6<\/td><\/tr><tr><th scope=\"row\">28<\/th><td>53.2<\/td><td>71.3<\/td><td>48.0<\/td><\/tr><tr><th scope=\"row\">32<\/th><td>57.8<\/td><td>84.3<\/td><td>53.1<\/td><\/tr><tr><th scope=\"row\">36<\/th><td>66.4<\/td><td>98.4<\/td><td>58.4<\/td><\/tr><tr><th scope=\"row\">40<\/th><td>82.7<\/td><td>115.9<\/td><td>69.7<\/td><\/tr><tr><th scope=\"row\">44<\/th><td>97.8<\/td><td>139.7<\/td><td>83.8<\/td><\/tr><tr><th scope=\"row\">48<\/th><td>109.1<\/td><td>169.4<\/td><td>97.3<\/td><\/tr><\/tbody><\/table><\/div><button type=\"button\" class=\"nx-in-btn\" data-nxi-csv=\"true\" hidden>Download the numbers (CSV)<\/button><h4 class=\"nx-h4\">Methods<\/h4><ol class=\"nx-in-meth\"><li>System dynamics <span class=\"nx-in-cite\">Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics<\/span><\/li><li>Critical transitions and tipping points <span class=\"nx-in-cite\">Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461<\/span><\/li><li>Causal loop diagram <span class=\"nx-in-cite\">Sterman (2000), Business Dynamics, McGraw-Hill<\/span><\/li><li>Uncertainty fan (parameter Monte Carlo) <span class=\"nx-in-cite\">Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333<\/span><\/li><li>One-at-a-time sensitivity (tornado) <span class=\"nx-in-cite\">Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley<\/span><\/li><\/ol><h4 class=\"nx-h4\">Data<\/h4><p class=\"nx-p\">No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme&#8217;s own evidence.<\/p><\/div><\/details><figcaption class=\"nx-caption\">Stocks, flows, delays and a tipping threshold. Illustrative teaching model: it runs on the values set by the controls, not on measured data. Methods: System dynamics (Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics); Critical transitions and tipping points (Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461); Causal loop diagram (Sterman (2000), Business Dynamics, McGraw-Hill).<\/figcaption><div class=\"nx-in-pls\"><p class=\"nx-eyebrow\">Across the six pillars, led by Nexus Consortium<\/p><ul class=\"nx-in-pl\" aria-label=\"Where this instrument connects across the pillars\"><li data-pillar=\"labs\" data-hue=\"social\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Experiments<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/nexus-labs\/\">Labs<\/a><\/li><li data-pillar=\"foundry\" data-hue=\"infrastructure\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Built in<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/foundry\/\">Society and Human Development in Foundry<\/a><\/li><li data-pillar=\"universe\" data-hue=\"water\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Tested at<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/universe\/\">Society and Human Development in Universe<\/a><\/li><li data-pillar=\"standards\" data-hue=\"biodiversity\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Codified in<\/span> <a class=\"nx-link\" href=\"https:\/\/nexustandards.com\/society\/\">Governance, Security and Society in Standards<\/a><\/li><li data-pillar=\"reports\" data-hue=\"energy\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Published in<\/span> <a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/reports\/\">Society and Human Development in Reports<\/a><\/li><li data-pillar=\"academy\" data-hue=\"risk\"><span class=\"nx-pl-dot\" aria-hidden=\"true\"><\/span><span class=\"nx-in-plv\">Taught in<\/span> <a class=\"nx-link\" href=\"https:\/\/risksacademy.com\/health-society\/\">Faculty of Health and Society in Academy<\/a><\/li><\/ul><\/div><span class=\"nx-in-keep\" hidden><i data-c=\"c1\"><\/i><i data-c=\"c2\"><\/i><i data-c=\"c3\"><\/i><i data-c=\"c4\"><\/i><i data-c=\"c5\"><\/i><i data-c=\"c6\"><\/i><i data-c=\"l0\"><\/i><i data-c=\"l1\"><\/i><i data-c=\"l2\"><\/i><i data-c=\"l3\"><\/i><i data-c=\"l5\"><\/i><i data-c=\"h3\"><\/i><i data-c=\"neg\"><\/i><i data-c=\"on0\"><\/i><i data-c=\"on1\"><\/i><i data-l=\"0\"><\/i><i data-l=\"1\"><\/i><i data-l=\"2\"><\/i><i data-l=\"3\"><\/i><i data-l=\"4\"><\/i><i data-l=\"5\"><\/i><i data-on=\"0\"><\/i><i data-on=\"1\"><\/i><i data-pol=\"p\"><\/i><i data-pol=\"n\"><\/i><i data-k=\"R\"><\/i><i data-k=\"B\"><\/i><i data-k=\"dash\"><\/i><i data-dash=\"true\"><\/i><i data-view=\"result\"><\/i><i data-nxi-live=\"on\"><\/i><i data-nxi-live=\"off\"><\/i><i class=\"nx-in-svg nx-in-grid nx-in-ax nx-in-tk nx-in-at nx-in-ln nx-in-band nx-in-lbl nx-in-lk nx-in-ref nx-in-reft nx-in-mk nx-in-x nx-in-rect nx-in-val nx-in-rowl nx-in-cl nx-in-arrow nx-in-pol nx-in-cln nx-in-loop nx-in-edge nx-in-node nx-in-nl nx-in-reach nx-in-trib nx-in-agent nx-in-flow nx-in-legend nx-in-sw nx-in-note nx-in-loops nx-in-3d nx-in-cv nx-in-field nx-in-fl nx-in-fv nx-in-range nx-in-btn nx-in-err nx-in-tbl nx-in-cite\"><\/i><\/span><\/figure><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-2\" data-tone=\"alt\" data-hue=\"social\" aria-label=\"Validation, Methods and evidence, Connections, Stewardship\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Validation, Methods and evidence, Connections, Stewardship\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-1\" aria-controls=\"nx-sec-checks\" aria-selected=\"true\" data-key=\"p1\">Validation<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-2\" aria-controls=\"nx-sec-audience\" aria-selected=\"false\" data-key=\"p2\">Methods and evidence<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-3\" aria-controls=\"nx-sec-connections\" aria-selected=\"false\" data-key=\"p3\">Connections<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-2-tab-4\" aria-controls=\"nx-sec-stewardship\" aria-selected=\"false\" data-key=\"p4\">Stewardship<\/button><\/div><section id=\"nx-sec-checks\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-6\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">06<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Validation<\/span><\/div><h2 id=\"nx-s-6\" class=\"nx-section-title\">How results are checked.<\/h2><p class=\"nx-lede\">Identification assumptions are probed through placebo tests, falsification checks and <a class=\"nx-link nx-term\" href=\"https:\/\/nexustandards.com\/standards\/nrs\/#nrs-c1\" data-tc=\"NRS-C1 sensitivity-analysis\" data-tk=\"Nexus risk vocabulary\" data-td=\"Testing how much a model's outputs change when inputs or assumptions change, to identify which drive results.\" data-ts=\"NRS-C1\" data-tr=\"draft\">sensitivity analysis<\/a>. Replication across settings tests external validity.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-table-wrap\"><table class=\"nx-table\" data-stack=\"true\"><thead><tr><th scope=\"col\">Check<\/th><th scope=\"col\">How it is done<\/th><\/tr><\/thead><tbody><tr><td data-label=\"Check\">Pre-registration<\/td><td data-label=\"How it is done\">Evaluation designs and analyses are registered before results<\/td><\/tr><tr><td data-label=\"Check\">Balance and attrition checks<\/td><td data-label=\"How it is done\">Groups are compared at baseline and attrition is analysed<\/td><\/tr><tr><td data-label=\"Check\">Heterogeneity analysis<\/td><td data-label=\"How it is done\">Effects are examined by gender, age and other groups<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Unobserved confounding and spillovers can bias estimates. Effects found in one context may not transfer to another.<\/p><\/div><\/div><\/section><section id=\"nx-sec-audience\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-7\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">07<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Methods and evidence<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">How impact evaluation for human development is modelled, measured and tested.<\/h2><p class=\"nx-lede\">The model, its assumptions, its data and its uncertainty, in the form a scientist or engineer would check. Structures follow published methods. The values drawn are illustrative, not findings.<\/p><\/div><div class=\"nx-section-body\"><div class=\"nx-au\" data-au-voice=\"science\" data-au-n=\"1\"><figure class=\"nx-au-c\" data-au-fig=\"system-model\"><h3 class=\"nx-h4\">System model<\/h3><p class=\"nx-p nx-au-what\">The couplings between the systems in impact evaluation for human development: signs of influence, a reinforcing and a balancing loop, and cross-links where stress jumps.<\/p><div class=\"nx-au-fig\"><svg class=\"nx-au-svg\" viewBox=\"0 0 560 250\" role=\"img\" aria-label=\"Causal loop diagram of Society, Information, Communities, Economy\" focusable=\"false\"><line class=\"nx-au-ac\" x1=\"280\" y1=\"32\" x2=\"404.7\" y2=\"118\"\/><text class=\"nx-au-t nx-au-sign\" x=\"342.35\" y=\"71\" text-anchor=\"middle\">+<\/text><line class=\"nx-au-ln\" x1=\"404.7\" y1=\"118\" x2=\"280\" y2=\"204\"\/><text class=\"nx-au-t nx-au-sign\" x=\"342.35\" y=\"157\" text-anchor=\"middle\">+<\/text><line class=\"nx-au-ln\" x1=\"280\" y1=\"204\" x2=\"155.3\" y2=\"118\"\/><text class=\"nx-au-t nx-au-sign\" x=\"217.65\" y=\"157\" text-anchor=\"middle\">\u2212<\/text><line class=\"nx-au-ln\" x1=\"155.3\" y1=\"118\" x2=\"280\" y2=\"32\"\/><text class=\"nx-au-t nx-au-sign\" x=\"217.65\" y=\"71\" text-anchor=\"middle\">+<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"280.0\" cy=\"32.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"280\" y=\"20\" text-anchor=\"middle\">Society<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"404.7\" cy=\"118.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"416.7\" y=\"122\" text-anchor=\"start\">Information<\/text><circle class=\"nx-au-nd\" cx=\"280.0\" cy=\"204.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"280\" y=\"192\" text-anchor=\"middle\">Communities<\/text><circle class=\"nx-au-nd\" cx=\"155.3\" cy=\"118.0\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"143.3\" y=\"136\" text-anchor=\"end\">Economy<\/text><text class=\"nx-au-t nx-au-lb\" x=\"280\" y=\"114\" text-anchor=\"middle\">R  reinforcing<\/text><text class=\"nx-au-t\" x=\"280\" y=\"132\" text-anchor=\"middle\">B  balancing<\/text><\/svg><\/div><figcaption class=\"nx-caption\"><span>Causal loop diagram from the page&#8217;s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.<\/span><\/figcaption><\/figure><\/div><div class=\"nx-chips nx-au-fw\" aria-label=\"Frameworks cited\"><span class=\"nx-chip\">FAIR guiding principles \u00b7 GO FAIR and FORCE11<\/span><span class=\"nx-chip\">W3C PROV \u00b7 World Wide Web Consortium<\/span><span class=\"nx-chip\">Guidance on consistent treatment of uncertainties \u00b7 IPCC<\/span><span class=\"nx-chip\">CEOS Analysis Ready Data \u00b7 Committee on Earth Observation Satellites<\/span><\/div><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"stack\" aria-labelledby=\"nx-s-8\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-3\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">08<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connections<\/span><\/div><h2 id=\"nx-s-8\" class=\"nx-section-title\">Topics that rely on this method.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-list\" data-nav=\"true\"><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/poverty-and-inequality\/\"><span>Poverty and inequality<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/human-security-and-wellbeing\/\"><span>Human security and wellbeing<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/humanitarian-and-displacement\/\"><span>Humanitarian and displacement<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/education-and-capabilities\/\"><span>Education and capabilities<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/technology-and-social-cohesion\/\"><span>Technology and social cohesion<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/urban-social-vulnerability\/\"><span>Urban social vulnerability<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/inclusive-research-ethics\/\"><span>Inclusive research ethics<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/media-and-information-systems\/\"><span>Media and information systems<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><li><a class=\"nx-link\" href=\"https:\/\/therisk.global\/human-development\/topics\/humanitarian-risk\/\"><span>Humanitarian risk<\/span><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-sec-stewardship\" class=\"nx-section nx-band-panel\" data-hue=\"social\" data-variant=\"split\" aria-labelledby=\"nx-s-9\" role=\"tabpanel\" data-band-tab=\"nx-band-2-tab-4\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">09<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Stewardship<\/span><\/div><h2 id=\"nx-s-9\" class=\"nx-section-title\">Who maintains the method.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/economic-development\/\">Economic Development<\/a> stewards causal inference and impact evaluation for the Consortium and reviews how it is applied across platforms.<\/p><\/div><div class=\"nx-section-body\"><p class=\"nx-p\"><a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/causal-inference\/\">Canonical page: Causal inference and impact evaluation<\/a><\/p><\/div><\/div><\/section><\/div><\/div><\/section><section class=\"nx-section\" data-band=\"auto\" data-band-id=\"nx-band-3\" data-hue=\"social\" aria-label=\"Connected, Questions\"><div class=\"nx-container\"><div class=\"nx-hm-band nx-band\" data-nx-tabs=\"true\" data-active=\"p1\"><div class=\"nx-tablist nx-hm-tabs\" role=\"tablist\" aria-label=\"Connected, Questions\"><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-1\" aria-controls=\"nx-s-10-sec\" aria-selected=\"true\" data-key=\"p1\">Connected<\/button><button class=\"nx-tab\" type=\"button\" role=\"tab\" id=\"nx-band-3-tab-2\" aria-controls=\"nx-s-11-sec\" aria-selected=\"false\" data-key=\"p2\">Questions<\/button><\/div><section id=\"nx-s-10-sec\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-10\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-1\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">10<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Connected<\/span><\/div><h2 id=\"nx-s-10\" class=\"nx-section-title\">Where this page leads across the Consortium.<\/h2><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/economic-development\/stem\/causal-inference\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Steward platform<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">Impact evaluation<\/span><span class=\"nx-dest-why\">Economic Development stewards this method.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><\/div><\/div><\/section><section id=\"nx-s-11-sec\" class=\"nx-section nx-band-panel\" data-hue=\"social\" aria-labelledby=\"nx-s-11\" role=\"tabpanel\" data-band-tab=\"nx-band-3-tab-2\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">11<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Questions<\/span><\/div><h2 id=\"nx-s-11\" class=\"nx-section-title\">Questions and answers.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-faq\"><details><summary>What are the limits of causal inference and impact evaluation in this field?<\/summary><div class=\"nx-answer\">Unobserved confounding and spillovers can bias estimates. Effects found in one context may not transfer to another.<\/div><\/details><details><summary>How are results checked?<\/summary><div class=\"nx-answer\">Identification assumptions are probed through placebo tests, falsification checks and sensitivity analysis. Replication across settings tests external validity.<\/div><\/details><details><summary>Are the values on this page real?<\/summary><div class=\"nx-answer\">The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method&#8217;s use, not a run; no result is reported here.<\/div><\/details><details><summary>Where else is this method applied?<\/summary><div class=\"nx-answer\">The <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/mathematics\/causal-inference\/\">canonical method page<\/a> lists every platform that applies it.<\/div><\/details><\/div><\/div><\/div><\/section><\/div><\/div><\/section><section id=\"nx-sec-nr-gateway\" class=\"nx-section\" data-hue=\"social\" data-tone=\"alt\" aria-labelledby=\"nx-nr-gateway-h\"><div class=\"nx-container\"><div class=\"nx-section-head\"><div class=\"nx-eyebrow-row\"><span class=\"nx-eyebrow\">Reports<\/span><span class=\"nx-rule\" aria-hidden=\"true\"><\/span><span class=\"nx-eyebrow\">Contribute<\/span><\/div><h2 id=\"nx-nr-gateway-h\" class=\"nx-section-title\">Contribute evidence from this page.<\/h2><p class=\"nx-lede\"><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\">Reports<\/a> is the Consortium&#8217;s quarterly publication. What you know about this subject can become evidence, a case or a correction in the next edition, credited to you and published under CC BY 4.0 where it is your own work.<\/p><div class=\"nx-chips\"><span class=\"nx-chip\">GCRI<\/span><span class=\"nx-chip\">Society and Human Development<\/span><span class=\"nx-chip\">Country Systems Risk and Resilience<\/span><span class=\"nx-chip\">Evidence Brief<\/span><\/div><\/div><div class=\"nx-section-body\"><ul class=\"nx-dest\"><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/human-development\/write-to-us\/contact\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Email<\/span><span class=\"nx-dest-host\">Gateway GW-GCRI<\/span><\/span><span class=\"nx-dest-title\">Send it from this page<\/span><span class=\"nx-dest-why\">Evidence, a correction, a case, a method, a review, a translation or profile input. It arrives tagged with this page, so the editor who owns it receives it.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/open-science\/#nx-sec-zenodo\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Zenodo<\/span><span class=\"nx-dest-host\">Open deposit<\/span><\/span><span class=\"nx-dest-title\">Deposit it and submit to the community<\/span><span class=\"nx-dest-why\">Publish your own record on Zenodo with your ORCID iD, then submit it to the Reports community there. Curators review it; the DOI stays yours.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><li><a class=\"nx-dest-card\" href=\"https:\/\/therisk.global\/nexus-reports\/contribute\/\"><span class=\"nx-dest-top\"><span class=\"nx-dest-rel\">Reports<\/span><span class=\"nx-dest-host\">GCRI<\/span><\/span><span class=\"nx-dest-title\">See every way to contribute<\/span><span class=\"nx-dest-why\">The contribution types, how each is reviewed, what credit you receive, the licence and what is never accepted.<\/span><span class=\"nx-dest-go\" aria-hidden=\"true\"><svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/span><\/a><\/li><\/ul><div class=\"nx-live-slot\" data-nxf-slot=\"contribute\" data-nxf-kind=\"workflow\" data-nxf-resource=\"nexus:\/\/gcri\/human-development\/stem\/causal-inference#contribute\" data-nxf-title=\"Contribute evidence\" data-nxf-height=\"480\" hidden><\/div><p class=\"nx-note nx-mt-3\">Never send personal data, sensitive infrastructure detail or anything you have no right to share. A contribution is reviewed before use; sending it confers no authorship or editorial rights, and sponsorship never buys a finding.<\/p><\/div><\/div><\/section><section class=\"nx-section nx-deeper-band\" aria-labelledby=\"nx-deeper-k-global-human-development-stem-causal-inference-h\"><div class=\"nx-container\"><nav class=\"nx-deeper\" aria-labelledby=\"nx-deeper-k-global-human-development-stem-causal-inference-h\" data-nx-deeper=\"3\" data-nx-resources=\"1 1 1\"><h2 class=\"nx-deeper-h\" id=\"nx-deeper-k-global-human-development-stem-causal-inference-h\">Go deeper<\/h2><ul><li><a href=\"https:\/\/docs.therisk.global\/organization\/standards\" data-ext><span class=\"nx-deeper-k\">Documentation:<\/span> Nexus Standards<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/risksacademy.com\/health-society\/human-development\/\" data-ext><span class=\"nx-deeper-k\">Academy:<\/span> Human development, poverty and inequality<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><li><a href=\"https:\/\/nexustandards.com\/society\/political-and-governance-risk-standards\/\" data-ext><span class=\"nx-deeper-k\">Standards:<\/span> Political and governance risk standards<span class=\"nx-deeper-x\" aria-hidden=\"true\">\u2197<\/span><span class=\"nx-deeper-sr\"> (opens another site)<\/span><\/a><\/li><\/ul><\/nav><\/div><\/section><section class=\"nx-closing\" aria-labelledby=\"nx-close-12\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Society and Human Development<\/span><h2 id=\"nx-close-12\" class=\"nx-section-title\">Bring a method, a dataset or a question.<\/h2><p class=\"nx-lede\">Information and enquiries are open today. An enquiry receives a reference and names the next step; applications, payments, compute allocations and registrations open only when their team, terms and review capacity exist.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/human-development\/write-to-us\/research-collaboration\/\">Propose a method <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a class=\"nx-btn\" data-variant=\"secondary\" href=\"https:\/\/therisk.global\/human-development\/contact\/\">See all contact routes<\/a><\/div><\/div><\/section><section class=\"nx-section\" data-tone=\"alt\" aria-labelledby=\"nx-legal-13\"><div class=\"nx-container\"><span class=\"nx-eyebrow\">Legal<\/span><h2 id=\"nx-legal-13\" class=\"nx-h3 nx-mt-2\">Legal documents.<\/h2><nav class=\"nx-related nx-mt-3\" aria-label=\"Legal documents\"><a href=\"https:\/\/therisk.global\/legal\/terms\/\">Platform Terms of Use <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/privacy\/\">Platform Privacy Notice <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/cookies\/\">Platform Cookie and Storage Notice <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/legal-notice\/\">Legal Notice <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/acceptable-use\/\">Acceptable Use Policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/participation-terms\/\">Participation and Events Terms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/contribution-terms\/\">Contribution Terms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/research-and-data-terms\/\">Research and Data Terms <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/ai-use\/\">AI-use Statement <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/intellectual-property\/\">Intellectual Property and Licensing <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/trademark-policy\/\">Trademark and Name Use Policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/disclaimer\/\">Disclaimers and Data Notices <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/corrections\/\">Corrections and Right of Reply Policy <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/complaints-and-integrity\/\">Complaints and integrity reporting <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/security\/\">Security and responsible disclosure <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/code-of-conduct\/\">Code of Conduct <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/trust\/accessibility\/\">Accessibility Statement <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><a href=\"https:\/\/therisk.global\/legal\/third-party-notices\/\">Third-party notices and attributions <svg class=\"nx-arrow\" viewBox=\"0 0 16 16\" aria-hidden=\"true\"><path d=\"M3 8h10M9 4l4 4-4 4\"\/><\/svg><\/a><\/nav><p class=\"nx-note nx-mt-3\">Maps, data and figures on this site are shown for context and general information. They are not advice, forecasts or warnings; the limits of the information are set out in the Disclaimers and Data Notices.<\/p><\/div><\/section><\/div><\/div><script class=\"_iub_cs_skip\">window.__nxMount ? window.__nxMount(document.currentScript) : null;<\/script>\n\n\n<script type=\"application\/ld+json\">{\"@context\":\"https:\/\/schema.org\",\"@graph\":[{\"@type\":\"TechArticle\",\"@id\":\"https:\/\/therisk.global\/human-development\/stem\/causal-inference\/#article\",\"headline\":\"Impact evaluation for human development\",\"description\":\"Social programme impact evaluation: cash transfer evaluations, household effects of disasters and education programmes, with pre-registered designs.\",\"inLanguage\":\"en\",\"about\":{\"@type\":\"Thing\",\"name\":\"social programme evaluation\"},\"author\":{\"@id\":\"https:\/\/therisk.global\/#organization\",\"@type\":\"Organization\",\"name\":\"The Global Centre for Risk and Innovation\",\"url\":\"https:\/\/therisk.global\/\",\"alternateName\":\"GCRI\"},\"publisher\":{\"@id\":\"https:\/\/therisk.global\/#organization\"},\"mainEntityOfPage\":{\"@id\":\"https:\/\/therisk.global\/human-development\/stem\/causal-inference\/#webpage\"},\"isAccessibleForFree\":true,\"mentions\":[{\"@type\":\"Thing\",\"name\":\"Programme administrative data\"},{\"@type\":\"Thing\",\"name\":\"Panel household surveys\"},{\"@type\":\"Thing\",\"name\":\"Learning assessments\"}]}]}<\/script>\n\n<!-- nx-rev:05058b8c74c7fe85 -->\n<!-- nx-shared:bd5575f84d51 -->\n<!-- nx-path:\/stem\/causal-inference\/ -->","protected":false},"excerpt":{"rendered":"<p>40){clearInterval(re)}},400);n.NXLive={allowed:d,blocked:f,grant:B,register:V,hosts:E.length}})();GCRI \u00b7 Society and Human Development<\/p>\n","protected":false},"author":2,"featured_media":0,"parent":35,"menu_order":1050,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_buddyx_sub_header_visibility":"","_buddyx_sub_header_title_visibility":"","_hide_show_side_panel":"","_buddyxpro_page_sidebar":"","_buddyxpro_page_disable_header":"","_buddyxpro_page_disable_footer":"","_buddyxpro_page_content_width":"","_buddyxpro_page_header_style":"","_buddyxpro_page_color_mode":"","_buddyxpro_page_loader":"","_nx_seo_description":"","_nx_seo_title":"","_nx_seo_image":"","_nx_seo_jsonld":"","_nx_i18n_locale":"","_nx_i18n_group":"","nexus_page_kind":"","footnotes":"","_nx_seo_image_alt":"","_nx_seo_canonical":"","_nx_seo_robots":"","_nx_seo_schema_type":""},"class_list":["post-51","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/therisk.global\/human-development\/wp-json\/wp\/v2\/pages\/51","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/therisk.global\/human-development\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/therisk.global\/human-development\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/therisk.global\/human-development\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/therisk.global\/human-development\/wp-json\/wp\/v2\/comments?post=51"}],"version-history":[{"count":1,"href":"https:\/\/therisk.global\/human-development\/wp-json\/wp\/v2\/pages\/51\/revisions"}],"predecessor-version":[{"id":101,"href":"https:\/\/therisk.global\/human-development\/wp-json\/wp\/v2\/pages\/51\/revisions\/101"}],"up":[{"embeddable":true,"href":"https:\/\/therisk.global\/human-development\/wp-json\/wp\/v2\/pages\/35"}],"wp:attachment":[{"href":"https:\/\/therisk.global\/human-development\/wp-json\/wp\/v2\/media?parent=51"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}