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:where([role=\"tablist\"],[role=\"toolbar\"],[hidden],button,.nx-theme-toggle,.nx-live-slot){display:none}#nxe-n29ydt1q.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 Future of Work and Skills<\/p><span class=\"nx-scene-rule\" aria-hidden=\"true\"><\/span><h1 id=\"nx-scene-title\" class=\"nx-scene-title\">Labour economics<\/h1><p class=\"nx-scene-lede\">Economics explains how labour markets allocate work and pay, how technology and trade change demand for skills, and how institutions such as minimum wages and <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> shape outcomes. In this field it frames the questions about jobs, wages and transitions.<\/p><div class=\"nx-actions\"><a class=\"nx-btn\" data-variant=\"primary\" href=\"https:\/\/therisk.global\/future-work-skills\/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\/future-work-skills\/stem\/\">Back to STEM foundation of Future of Work and Skills<\/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\">Contents<\/span><\/div><h2 id=\"nx-s-1\" class=\"nx-section-title\">Labour economics in five parts.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-es-fig\" data-es-layout=\"protocol\"><div class=\"nx-hero-panel\"><div class=\"nx-lv-steps\"><div class=\"nx-register-head\"><span class=\"nx-eyebrow\"><strong>Protocol<\/strong><\/span><span class=\"nx-eyebrow\">5 steps<\/span><\/div><ol><li><a href=\"#nx-sec-application\"><span class=\"nx-lv-steps-n\">01<\/span><span class=\"nx-lv-steps-t\">Application<\/span><span class=\"nx-lv-steps-d\">What economics and development economics does here<\/span><\/a><\/li><li><a href=\"#nx-sec-data\"><span class=\"nx-lv-steps-n\">02<\/span><span class=\"nx-lv-steps-t\">Data<\/span><span class=\"nx-lv-steps-d\">What the method consumes<\/span><\/a><\/li><li><a href=\"#nx-sec-checks\"><span class=\"nx-lv-steps-n\">03<\/span><span class=\"nx-lv-steps-t\">Validation<\/span><span class=\"nx-lv-steps-d\">How results are checked<\/span><\/a><\/li><li><a href=\"#nx-sec-connections\"><span class=\"nx-lv-steps-n\">04<\/span><span class=\"nx-lv-steps-t\">Connections<\/span><span class=\"nx-lv-steps-d\">Topics that rely on this method<\/span><\/a><\/li><li><a href=\"#nx-sec-stewardship\"><span class=\"nx-lv-steps-n\">05<\/span><span class=\"nx-lv-steps-t\">Stewardship<\/span><span class=\"nx-lv-steps-d\">Who maintains the method<\/span><\/a><\/li><\/ol><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-application\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-2\"><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 economics and development economics does here.<\/h2><p class=\"nx-lede\">Economics and development economics study how societies produce, distribute and consume resources and how living standards change. They estimate the costs of shocks and the trade-offs among policy responses. In work and skills, society and human development and artificial intelligence, economic analysis quantifies indirect losses as shocks spread through supply chains and labour markets. It supports prioritising investment in prevention and recovery. The canonical description is on <a class=\"nx-link\" href=\"https:\/\/therisk.global\/stem\/science\/economics\/\">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\"><path d=\"m12.83 2.18a2 2 0 0 0-1.66 0L2.6 6.08a1 1 0 0 0 0 1.83l8.58 3.91a2 2 0 0 0 1.66 0l8.58-3.9a1 1 0 0 0 0-1.83Z\"\/><path d=\"m22 17.65-9.17 4.16a2 2 0 0 1-1.66 0L2 17.65\"\/><path d=\"m22 12.65-9.17 4.16a2 2 0 0 1-1.66 0L2 12.65\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Task-based analysis of technology<\/h3><p class=\"nx-p nx-mt-1\">Occupations are broken into tasks and matched with what technologies can do, to estimate which tasks may be automated or augmented and how wages may respond.<\/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\"><circle cx=\"8\" cy=\"8\" r=\"6\"\/><path d=\"M18.09 10.37A6 6 0 1 1 10.34 18\"\/><path d=\"M7 6h1v4\"\/><path d=\"m16.71 13.88.7.71-2.82 2.82\"\/><\/svg><\/span><\/div><h3 class=\"nx-h3 nx-mt-2\">Labour market institutions<\/h3><p class=\"nx-p nx-mt-1\">Effects of minimum wages, collective bargaining and employment protection on employment, wages and job quality are analysed with comparative evidence.<\/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\">Just transition economics<\/h3><p class=\"nx-p nx-mt-1\">Job losses and gains from decarbonisation are traced by sector and region, with costs to displaced workers and communities estimated.<\/p><\/article><\/div><\/div><\/div><\/section><section id=\"nx-s-3-sec\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-3\"><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\">Econometric model.<\/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-work-method-regress\" data-cx=\"work.method-regress\" data-variant=\"section\" aria-label=\"Econometric model: illustrative console with example names and values\"><div class=\"nx-fk-head\"><div class=\"nx-fk-heading\"><h3 class=\"nx-fk-title\">Econometric model<\/h3><p class=\"nx-fk-sub\">Future of work \u00b7 Labour economics \u00b7 Run R-4567<\/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>Estimates stable<\/span><span class=\"nx-cx-prod\">GCRI \u00b7 Future of Work and Skills<\/span><\/div><div class=\"nx-cx-grid\"><div class=\"nx-fk-panel nx-cx-p\" data-w=\"4\" data-t=\"table\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Estimates<\/h4><p class=\"nx-fk-panel-sub\">robust standard errors<\/p><\/div><\/div><div class=\"nx-fk-tablewrap\" data-fk-view=\"table:cx-work-method-regress-t0\"><table class=\"nx-fk-table\" data-fk-table=\"cx-work-method-regress-t0\" aria-label=\"Estimates\"><thead><tr><th scope=\"col\" data-col=\"c0\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c0\">Term<\/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\" data-num=\"true\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c2\">Std error<\/button><\/th><th scope=\"col\" data-col=\"c3\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c3\">95 pct interval<\/button><\/th><th scope=\"col\" data-col=\"c4\" aria-sort=\"none\"><button type=\"button\" data-fk-sort=\"c4\">Sig.<\/button><\/th><\/tr><\/thead><tbody><tr data-fk-key=\"cx-work-method-regress:r0-0\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Task exposure to automation<\/td><td data-num=\"true\" data-sv=\"0.16\">0.16<\/td><td data-num=\"true\" data-sv=\"0.16\">0.16<\/td><td>[\u22120.5, 0.4]<\/td><td><span class=\"nx-fk-pill\" data-state=\"off\"><i aria-hidden=\"true\"><\/i>No<\/span><\/td><\/tr><tr data-fk-key=\"cx-work-method-regress:r0-1\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Vacancy-to-unemployed ratio<\/td><td data-num=\"true\" data-sv=\"0.38\">0.38<\/td><td data-num=\"true\" data-sv=\"0.19\">0.19<\/td><td>[\u22120.1, 0.2]<\/td><td><span class=\"nx-fk-pill\" data-state=\"off\"><i aria-hidden=\"true\"><\/i>No<\/span><\/td><\/tr><tr data-fk-key=\"cx-work-method-regress:r0-2\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Training participation<\/td><td data-num=\"true\" data-sv=\"0.17\">0.17<\/td><td data-num=\"true\" data-sv=\"0.13\">0.13<\/td><td>[\u22120.5, 0.9]<\/td><td><span class=\"nx-fk-pill\" data-state=\"off\"><i aria-hidden=\"true\"><\/i>No<\/span><\/td><\/tr><tr data-fk-key=\"cx-work-method-regress:r0-3\" tabindex=\"0\" role=\"row\" aria-selected=\"false\"><td>Occupational injury rate<\/td><td data-num=\"true\" data-sv=\"-0.2\">\u22120.20<\/td><td data-num=\"true\" data-sv=\"0.07\">0.07<\/td><td>[\u22120.6, 0.3]<\/td><td><span class=\"nx-fk-pill\" data-state=\"off\"><i aria-hidden=\"true\"><\/i>No<\/span><\/td><\/tr><\/tbody><\/table><\/div><\/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>Economics and development economics<\/dd><\/div><div><dt>Sample<\/dt><dd>8154 obs<\/dd><\/div><div><dt>Design<\/dt><dd>panel, fixed effects<\/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=\"chart\"><div class=\"nx-fk-panel-head\"><div><h4 class=\"nx-fk-panel-title\">Residuals by group<\/h4><\/div><\/div><svg class=\"nx-fk-svg\" viewBox=\"0 0 520 210\" width=\"520\" height=\"210\" role=\"img\" focusable=\"false\" preserveAspectRatio=\"xMidYMid meet\" aria-label=\"Residuals by group\" data-fk-chart=\"cx-work-method-regress-c2\" data-nx-z=\"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\"><\/svg><\/div><\/div><div class=\"nx-fk-tip\" aria-hidden=\"true\" hidden><\/div><figcaption class=\"nx-fk-cap\"><span>Econometric model: the screen&#8217;s structure, terms and states for Future of work.<\/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\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-4\"><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 economics and development economics 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\/future-work-skills\/research\/sources\/\">the source register<\/a>.<\/p><\/div><div class=\"nx-section-body\" data-lv=\"register\"><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\">Occupational task data<\/td><td data-label=\"Role\">Task content<\/td><td data-label=\"Label\"><span class=\"nx-chip\">REPORTED<\/span><\/td><\/tr><tr><td data-label=\"Data\">Labour force surveys<\/td><td data-label=\"Role\">Employment and wages<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/span><\/td><\/tr><tr><td data-label=\"Data\">Sector employment data<\/td><td data-label=\"Role\">Transitions<\/td><td data-label=\"Label\"><span class=\"nx-chip\">Published statistics<\/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-P17\/stem\/economics\/#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-P17\/stem\/economics\/#evidence\" data-nxf-title=\"Evidence\" data-nxf-height=\"520\" hidden><\/div><\/div><\/div><\/section><section id=\"nx-sec-audience\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-5\"><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\">Methods and evidence<\/span><\/div><h2 id=\"nx-s-5\" class=\"nx-section-title\">How labour economics 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 labour economics: 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 Work, Society, Artificial intelligence, Communities, Economy\" focusable=\"false\"><line class=\"nx-au-ac\" x1=\"280\" y1=\"32\" x2=\"398.6\" y2=\"91.42\"\/><text class=\"nx-au-t nx-au-sign\" x=\"339.3\" y=\"57.71\" text-anchor=\"middle\">+<\/text><line class=\"nx-au-ax\" x1=\"280\" y1=\"32\" x2=\"206.7\" y2=\"187.58\"\/><line class=\"nx-au-ln\" x1=\"398.6\" y1=\"91.42\" x2=\"353.3\" y2=\"187.58\"\/><text class=\"nx-au-t nx-au-sign\" x=\"375.95\" y=\"135.5\" text-anchor=\"middle\">+<\/text><line class=\"nx-au-ax\" x1=\"398.6\" y1=\"91.42\" x2=\"161.4\" y2=\"91.42\"\/><line class=\"nx-au-ln\" x1=\"353.3\" y1=\"187.58\" x2=\"206.7\" y2=\"187.58\"\/><text class=\"nx-au-t nx-au-sign\" x=\"280\" y=\"183.58\" text-anchor=\"middle\">\u2212<\/text><line class=\"nx-au-ln\" x1=\"206.7\" y1=\"187.58\" x2=\"161.4\" y2=\"91.42\"\/><text class=\"nx-au-t nx-au-sign\" x=\"184.05\" y=\"135.5\" text-anchor=\"middle\">+<\/text><line class=\"nx-au-ln\" x1=\"161.4\" y1=\"91.42\" x2=\"280\" y2=\"32\"\/><text class=\"nx-au-t nx-au-sign\" x=\"220.7\" y=\"57.71\" 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\">Work<\/text><circle class=\"nx-au-nd nx-au-nd-ac\" cx=\"398.6\" cy=\"91.4\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"410.6\" y=\"95.42\" text-anchor=\"start\">Society<\/text><circle class=\"nx-au-nd\" cx=\"353.3\" cy=\"187.6\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"365.3\" y=\"205.58\" text-anchor=\"start\">Artificial intelligence<\/text><circle class=\"nx-au-nd\" cx=\"206.7\" cy=\"187.6\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"194.7\" y=\"205.58\" text-anchor=\"end\">Communities<\/text><circle class=\"nx-au-nd\" cx=\"161.4\" cy=\"91.4\" r=\"6\"\/><text class=\"nx-au-t nx-au-lb\" x=\"149.4\" y=\"95.42\" 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-checks\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-6\"><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\">Models are assessed against historical episodes and out-of-sample data. Parameter estimates are compared across studies and identification strategies.<\/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\">Context fit<\/td><td data-label=\"How it is done\">Task data from one country are checked for fit before use in another<\/td><\/tr><tr><td data-label=\"Check\">Comparative evidence<\/td><td data-label=\"How it is done\">Institutional effects are compared across countries and periods<\/td><\/tr><tr><td data-label=\"Check\">Distributional reporting<\/td><td data-label=\"How it is done\">Results are reported by group, region and wage level<\/td><\/tr><\/tbody><\/table><\/div><p class=\"nx-note nx-mt-3\">Equilibrium models may understate disruption and nonlinear cascades. Informal economies and non-market losses are poorly measured.<\/p><\/div><\/div><\/section><section id=\"nx-s-7-sec\" class=\"nx-section\" data-hue=\"social\" aria-labelledby=\"nx-s-7\"><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\">Process<\/span><\/div><h2 id=\"nx-s-7\" class=\"nx-section-title\">How the process runs.<\/h2><\/div><div class=\"nx-section-body\"><div class=\"nx-canvas-wrap\"><div class=\"nx-pe\" id=\"nx-pe-prisma\" data-nx-pe=\"nx-pe-prisma\" data-active=\"prisma\"><div class=\"nx-pe-shell\"><p class=\"nx-pe-eb\">Process<\/p><h2 class=\"nx-pe-title\">Labour economics: PRISMA 2020 review reporting<\/h2><p class=\"nx-pe-cap\">PRISMA 2020 is a reporting guideline for systematic reviews; the steps follow its checklist, not a mandated sequence, and no Nexus document adopts it.<\/p><ol class=\"nx-pe-steps\"><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">01 Plan<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">01<\/span><span class=\"nx-pe-st\">Registration and protocol<\/span><span class=\"nx-pe-k\">Record \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for registration details, access to the protocol and any amendments.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">02<\/span><span class=\"nx-pe-st\">Eligibility criteria<\/span><span class=\"nx-pe-k\">Record \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the inclusion and exclusion criteria and how studies were grouped.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">02 Find and select<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">03<\/span><span class=\"nx-pe-st\">Search: sources and strategies<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the information sources and the full search strategies. It does not fix which sources are used.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">04<\/span><span class=\"nx-pe-st\">Selection of studies<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks how studies were judged eligible, including how many reviewers screened. It does not fix the number of reviewers.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">05<\/span><span class=\"nx-pe-st\">Flow diagram<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">The flow diagram shows the number of records found, the number of studies included and the reasons for exclusion.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">03 Analyse<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">06<\/span><span class=\"nx-pe-st\">Data collection<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks how data were collected from reports and which data items were sought.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">07<\/span><span class=\"nx-pe-st\">Risk of bias<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the methods and tools used to assess risk of bias.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">08<\/span><span class=\"nx-pe-st\">Synthesis<\/span><span class=\"nx-pe-k\">Model \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the effect measures and the synthesis methods. It does not prescribe meta-analysis.<\/span><\/li><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">09<\/span><span class=\"nx-pe-st\">Certainty of evidence<\/span><span class=\"nx-pe-k\">Step \u00b7 The review team<\/span><span class=\"nx-pe-sm\">The guideline asks for the methods used to assess certainty, and reports the result per outcome. It does not name a grading scale.<\/span><\/li><\/ol><\/li><li class=\"nx-pe-lane\"><h3 class=\"nx-pe-lane-t\">04 Report<\/h3><ol><li class=\"nx-pe-step\"><span class=\"nx-pe-n\" translate=\"no\">10<\/span><span class=\"nx-pe-st\">Review report<\/span><span class=\"nx-pe-k\">Record<\/span><span class=\"nx-pe-sm\">The guideline helps authors report why the review was done, what they did and what they found.<\/span><\/li><\/ol><\/li><\/ol><p class=\"nx-pe-foot\"><span><a class=\"nx-link\" href=\"https:\/\/docs.therisk.global\/organization\/programme\/reports\" rel=\"noopener\">Reports<\/a><\/span><span>Outline of an externally published reporting guideline, not a Nexus process and not a record of operation. PRISMA 2020 mainly covers reviews of intervention effects. No Nexus page names it. Every programme is at service level R0.<\/span><\/p><\/div><\/div><\/div><\/div><\/div><\/section><section id=\"nx-sec-connections\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" data-variant=\"split\" aria-labelledby=\"nx-s-8\"><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\/future-work-skills\/topics\/labour-market-change\/\"><span>Labour market change<\/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\/future-work-skills\/topics\/automation-and-jobs\/\"><span>Automation and jobs<\/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\/future-work-skills\/topics\/lifelong-learning\/\"><span>Lifelong learning<\/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\/future-work-skills\/topics\/digital-work-and-platforms\/\"><span>Digital work and platforms<\/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\/future-work-skills\/topics\/education-to-work-transition\/\"><span>Education to work transition<\/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\/future-work-skills\/topics\/institutional-workforce-planning\/\"><span>Institutional workforce planning<\/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\/future-work-skills\/topics\/work-and-social-protection\/\"><span>Work and social protection<\/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\" data-hue=\"social\" data-tone=\"alt\" data-variant=\"stack\" aria-labelledby=\"nx-s-9\"><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 economics and development economics 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\/science\/economics\/\">Canonical page: Economics and development economics<\/a><\/p><\/div><\/div><\/section><section id=\"nx-s-10-sec\" class=\"nx-section\" data-hue=\"project\" data-tone=\"alt\" aria-labelledby=\"nx-s-10\"><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\/economics\/\"><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\">Development economics<\/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\" data-hue=\"social\" aria-labelledby=\"nx-s-11\"><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 economics and development economics in this field?<\/summary><div class=\"nx-answer\">Equilibrium models may understate disruption and nonlinear cascades. 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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\/future-work-skills\/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\/future-work-skills\/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. 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