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Autor/inn/enHansen, Henrik; Klejnstrup, Ninja Ritter; Andersen, Ole Winckler
TitelA Comparison of Model-Based and Design-Based Impact Evaluations of Interventions in Developing Countries
QuelleIn: American Journal of Evaluation, 34 (2013) 3, S.320-338 (19 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1098-2140
DOI10.1177/1098214013476915
SchlagwörterForeign Countries; Developing Nations; Outcome Measures; Comparative Analysis; Research Design; Statistical Bias; Sampling; Economic Development; Intervention; Statistical Analysis; Mexico; New Zealand; Nicaragua; Tonga
AbstractThere is a long-standing debate as to whether nonexperimental estimators of causal effects of social programs can overcome selection bias. Most existing reviews either are inconclusive or point to significant selection biases in nonexperimental studies. However, many of the reviews, the so-called "between-studies," do not make direct comparisons of the estimates. We survey four impact studies, all using data from development interventions that directly compare experimental and nonexperimental impact estimates. Our review illustrates that when the program participation process is well understood, and correctly modeled, then the nonexperimental estimators can overcome the selection bias to the same degree as randomized controlled trials. Hence, we suggest that evaluators of development programs aim to be careful and precise in the formulation of the statistical model for the assignment into the program and also to use the assignment information for model-based systematic sampling. (Contains 4 tables and 5 notes.) (As Provided).
AnmerkungenSAGE Publications. 2455 Teller Road, Thousand Oaks, CA 91320. Tel: 800-818-7243; Tel: 805-499-9774; Fax: 800-583-2665; e-mail: journals@sagepub.com; Web site: http://sagepub.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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