Randomized Evaluation in Development
Randomized evaluation applies the logic of the controlled experiment to development policy: an intervention — a school grant, a deworming pill, an insurance product — is assigned at random to some units and withheld from others, so that any subsequent difference in outcomes can be attributed causally to the intervention rather than to confounding. Championed from the early 2000s by the Abdul Latif Jameel Poverty Action Lab (J-PAL) and Innovations for Poverty Action (IPA), the approach earned its leading proponents — Esther Duflo, Abhijit Banerjee, and Michael Kremer — the 2019 Nobel Memorial Prize in Economics for transforming how anti-poverty programmes are tested.
手法の全文を読む
無料アカウントでログインすると、このセクションを読めます。
手法マップ
関連する手法の近傍 — ノードを選択して探索できます。
出典
- Banerjee, A. V., & Duflo, E. (2009). The Experimental Approach to Development Economics. Annual Review of Economics, 1, 151–178. DOI: 10.1146/annurev.economics.050708.143235 ↗
- Duflo, E., Glennerster, R., & Kremer, M. (2007). Using Randomization in Development Economics Research: A Toolkit. Handbook of Development Economics, 4, 3895–3962. DOI: 10.1016/S1573-4471(07)04061-2 ↗
このページの引用方法
ScholarGate. (2026, June 22). Randomized Controlled Trials (Field Experiments) in Development Economics. ScholarGate. https://scholargate.app/ja/development-studies/randomized-evaluation-development
どの手法を選ぶ?
この手法を最も近い類縁の手法と並べ、両者を見比べてください — ライブラリは本を机の上に並べるだけ。選ぶのはあなたです。
- Cash Transfer EvaluationDevelopment Studies↔ 比較
- Microfinance Impact AssessmentDevelopment Studies↔ 比較
- Social Cost-Benefit Analysis for DevelopmentDevelopment Studies↔ 比較
- Theory-Based Impact EvaluationDevelopment Studies↔ 比較