Rough Guide to Impact Evaluation of Environmental and Development Programs

Abstract

This paper provides an overview of the what, how, and why of program evaluation, with particular emphasis on the role of control groups, pre-and post measurement, and covariate data. Resource and environmental economists in developing countries have little training in how to conduct programme or policy evaluations of proposed environment /sustainable development projects. The paper reviews detailed examples of four methods for evaluation: randomized experiments, natural experiments, matching methods, and panel-based “difference-in-difference” (DID) estimators with a description of the pros and cons of each method. It also provides a detailed case study from South Asia as an example

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