Rough Guide to Impact Evaluation of Environmental and Development Programs

Subhrendu K Pattanayak ()

Working Papers from eSocialSciences

Abstract: This paper is a “rough guide†for evaluation of programs, projects and policies in the environment and development arena. First, a general 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 to define counterfactual scenarios (including formal definition of all terms) are provided. Second, a detailed review with examples of the four main methods for evaluation – randomized experiments, natural experiments, matching methods, and panel-based DID estimators with a description of the pros and cons of each method is given. Finally, the econometric evaluations within the broader context is placed– how can we move beyond estimation of average treatment effects; what do we do under time, resource and data constraints; and when and where should we rely on theory-based evaluations are explained.

Keywords: evaluation; environment; development area; econometric; natural and quasi experiments; resource; data constraints; data; theory; DID estimators; south asia (search for similar items in EconPapers)
Date: 2009-08
New Economics Papers: this item is included in nep-dev, nep-env and nep-ppm
Note: Institutional Papers
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (9)

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