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GCRI · Civak û pêşketina mirovî

Impact evaluation for human development

Causal inference and impact evaluation estimate whether programmes and shocks changed people’s lives, compared with what would otherwise have happened. In this field they evaluate parastina civakî, education and humanitarian programmes and the effects of disasters and conflict on wellbeing.

01Qeyd

Impact evaluation for human development on the record.

Method recordSTEM method
  1. RêbazEncamgirtina sedemî û nirxandina bandorê
  2. Applied inCivak û pêşketina mirovî
  3. Canonical pageSTEM Commons
02Application

What causal inference and impact evaluation does here.

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 kêmkirina xetera measures actually work. It supports allocating resources toward interventions with demonstrated effect across connected risks. The canonical description is on STEM Commons.

Evaluating cash transfers

Randomised or quasi-experimental designs compare households that received transfers with similar households that did not, measuring effects on consumption, schooling and wellbeing.

Effects of disasters on households

Panel surveys before and after disasters, with comparison areas, estimate effects on income, health and education and how long they last.

Education programme evaluation

Learning programmes are evaluated with comparison groups and validated assessments to estimate effects on foundational skills.

03Çavdêrî bike

Impact evaluation.

The screen a team would use to follow this method: its measures, states and decisions. Names are examples and values are illustrative.

Impact evaluation

Society and human development · Impact evaluation for human · Run R-0051

Parallel trends holdGCRI · Society and Human Development

Event study

Method card

Rêbaz
Encamgirtina sedemî û nirxandina bandorê
Sêwirandin
difference in differences
Units
63
Nîşan
MODELKIRÎ

Robustness checks

Main specification0.28Erê
Drop early adopters0.05Erê
Synthetic control0.18Weaker
Impact evaluation: the screen’s structure, terms and states for Society and human development.Nav û nirxên nimûneyî; sêwiran e, ne qeyd an pergaleke zindî ye.
04Dane

What the method consumes.

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 the source register.

DaneRolNîşan
Programme administrative dataTreatmentStatîstîkên weşandî
Panel household surveysOutcomes over timeREPORTED
Learning assessmentsPerwerdeyê outcomesÇAVDÊRÎKIRÎ
05Simulator

Stok, herik, dereng û sînorê guherînê.

Du stok, zext û kapasîteya adaptasyonê, bi xelekeyeke mezinbûnê ya xurtker, bersiveke hevsengiyê ya dereng û zirarê dema ku zext ji kapasîteyê derbas dibe têne girêdan; li derveyî sînor pergal dikare biguhere. Modela fêrkirinê bi nirxên nimûneyî yên diyarkirî, ne pêşbînî.

Kontrol

Zêdebûna zextê
6.0% salê
Bandora kapasîteyê di kêmkirina zextê de
4.0% salê
Bersiva veberhênanê li hember zextê ya hatî dîtin
20%
Derengiya têgihîştinê
4.0 sal
Sînorê guherînê yê zextê
60 indeks
Zêdebûn li derveyî sînor
2.0 carî
Salên simulekirî
50 sal

Xwendin

Zexta herî bilind
113 nîşander
Kapasîte di dawiyê de
186 indeks
Salên li ser sînor
15.8 sal
Jimar, rêbaz û çavkanî
SalZextêKapasîteHatî dîtin
020.050.020.0
423.344.921.2
827.242.224.0
1231.742.327.7
1636.845.532.2
2042.351.537.2
2447.960.342.6
2853.271.348.0
3257.884.353.1
3666.498.458.4
4082.7115.969.7
4497.8139.783.8
48109.1169.497.3

Rêbaz

  1. Dînamîkên pergalê Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics
  2. Veguherînên krîtîk û xalên guherînê Scheffer and others (2009), Early-warning signals for critical transitions, Nature 461
  3. Diagrama xelekeya sedemî Sterman (2000), Business Dynamics, McGraw-Hill
  4. Pankeya nediyarîyê (Monte Carlo ya parametreyan) Spiegelhalter, Pearson and Short (2011), Visualising uncertainty about the future, Science 333
  5. Hesasiyeta yek-yek (tornado) Saltelli and others (2008), Global Sensitivity Analysis: The Primer, Wiley

Dane

No observed data enters this model: it runs on the teaching values set by the controls, to be replaced with a programme’s own evidence.

Stok, herik, derengî û sînorekî tipping. Modeleke hînkirinê ya ronîker: li gorî nirxên ku kontrol destnîşan dikin dixebite, ne li ser daneyên pîvandî. Rêbaz: Dînamîkên pergalê (Forrester (1961), Industrial Dynamics, MIT Press; Sterman (2000), Business Dynamics); Veguherînên krîtîk û xalên tipping (Scheffer û yên din (2009), Early-warning signals for critical transitions, Nature 461); Dîagrama xelekên sedemî (Sterman (2000), Business Dynamics, McGraw-Hill).

Li seranserê şeş stûnan, bi pêşengiya Nexus Consortium

06Erêkirin

How results are checked.

Identification assumptions are probed through placebo tests, falsification checks and sensitivity analysis. Replication across settings tests external validity.

Kontrol bikinHow it is done
Pre-registrationEvaluation designs and analyses are registered before results
Balance and attrition checksGroups are compared at baseline and attrition is analysed
Heterogeneity analysisEffects are examined by gender, age and other groups

Unobserved confounding and spillovers can bias estimates. Effects found in one context may not transfer to another.

07Rêbaz û delîl

How impact evaluation for human development is modelled, measured and tested.

Model, texmînên wî, daneyên wî û nediyariya wî, bi şeweyê ku zanyar an endezyar kontrol bike. Avahî rêbazên weşandî dişopînin. Nirxên hatine xêzkirin nimûneyî ne, ne encam in.

Modela pergalê

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.

++−+CivakAgahîCivakAborîR xurtkerB hevseng
Causal loop diagram from the page’s systems; signs show the direction of influence. Illustrative structure for a system dynamics or network model, not estimated couplings.
Prensîbên rêber ên FAIR · GO FAIR û FORCE11W3C PROV · World Wide Web ConsortiumRêwerzên ji bo birêvebirina hevgirtî ya nediyarîyan · IPCCCEOS Analysis Ready Data · Committee on Earth Observation Satellites
09Stewardship

Who maintains the method.

Pêşketina aborî stewards causal inference and impact evaluation for the Consortium and reviews how it is applied across platforms.

10Girêdayî

Ev rûpel li ser Konsorsiyûmê te ber bi kû ve dibe.

11Pirs

Pirs û bersiv.

What are the limits of causal inference and impact evaluation in this field?
Unobserved confounding and spillovers can bias estimates. Effects found in one context may not transfer to another.
How are results checked?
Identification assumptions are probed through placebo tests, falsification checks and sensitivity analysis. Replication across settings tests external validity.
Are the values on this page real?
The data names, roles and checks are real descriptions of practice. The canvas shows a design of the method’s use, not a run; no result is reported here.
Where else is this method applied?
Çavdêrxaneya canonical method page lists every platform that applies it.
rêzeya Pergalên StratejîkTevkarî bike

Ji vê rûpelê delîl bidin.

rêzeya Pergalên Stratejîk is the Consortium’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.

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Civak û pêşketina mirovî

Rêbazek, danehevek an pirsek bîne.

Agahî û pirs îro vekirî ne. Pirsek referansekê distîne û gava piştî wê dide nasîn; serlêdan, drav, veqetandina hesabkirinê û tomarkirin tenê dema ku tîm, mercên wê û kapasîteya vekolînê hebin vedibin.