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"The author critically reviews the methods available for the ex-post counterfactual analysis of programs that are assigned exclusively to individuals, households, or locations. The discussion covers both experimental and non-experimental methods (including propensity-score matching, discontinuity designs, double and triple differences, and instrumental variables). Two main lessons emerge. First, despite the claims of advocates, no single method dominates; rigorous, policy-relevant evaluations should be open-minded about methodology. Second, future efforts to draw more useful lessons from evaluations will call for more policy-relevant measures and deeper explanations of measured impacts than are possible from the classic ("black box") assessment of mean impact. "--World Bank web site.
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Cette édition numérique a été réalisée à partir d'un support physique, parfois ancien, conservé au sein du dépôt légal de la Bibliothèque nationale de France, conformément à la loi n° 2012-287 du 1er mars 2012 relative à l'exploitation des Livres indisponibles du XXe siècle.
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"The authors apply the dynamic macroeconomic framework developed by Agnor, Bayraktar, and El Aynaoui (2004) to Niger. As in the original model, linkages between foreign aid, public investment (disaggregated into education, infrastructure, and health), and growth are explicitly captured. Although the nominal exchange rate is fixed, the relative price of domestic goods is endogenous, thereby allowing for potential Dutch disease effects associated with increases in aid. The authors assess the impact of policy shocks on poverty by using partial growth elasticities. They perform various policy experiments, including an increase in the level of foreign aid, a reallocation of public nvestment toward infrastructure, and neutral and non-neutral cuts in tariffs. The simulations show the dynamic tradeoffs that these policies entail with respect to growth and poverty reduction in Niger. This paper--a product of Poverty Reduction and Economic Management 3, Africa Technical Families--is part of a larger effort in the region to formulate country-specific growth strategies"--World Bank web site.
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"This report by World Bank economists and Colombian consultants maps out a strategy for poverty reduction in Colombia by concentrating efforts on rural development, social and infrastructural services, and decentralization strengthening. Expenditures would be financed by revenues generated by oil exports, presupposing macroeconomic health and increased government efficiency and accountability"--Handbook of Latin American Studies, volume 57.
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"The author critically reviews the methods available for the ex-post counterfactual analysis of programs that are assigned exclusively to individuals, households, or locations. The discussion covers both experimental and non-experimental methods (including propensity-score matching, discontinuity designs, double and triple differences, and instrumental variables). Two main lessons emerge. First, despite the claims of advocates, no single method dominates; rigorous, policy-relevant evaluations should be open-minded about methodology. Second, future efforts to draw more useful lessons from evaluations will call for more policy-relevant measures and deeper explanations of measured impacts than are possible from the classic ("black box") assessment of mean impact. "--World Bank web site.
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"While providing the most reliable method of evaluating social programs, randomized experiments in industrial and developing countries alike are accompanied by political risks and ethical issues that jeopardize the chances of adopting them. Buddelmeyer and Skoufias use a unique data set from rural Mexico collected for the purpose of evaluating the impact of the PROGRESA poverty alleviation program to examine the performance of a quasi-experimental estimator, the regression discontinuity design (RDD). Using as a benchmark the impact estimates based on the experimental nature of the sample, the authors examine how estimates differ when the RDD is used as the estimator for evaluating program impact on two key indicators--child school attendance and child work. Overall the performance of the RDD was remarkably good. The RDD estimates of program impact agreed with the experimental estimates in 10 out of the 12 possible cases. The two cases in which the RDD failed to reveal any significant program impact on school attendance of boys and girls were in the first year of the program (round 3). RDD estimates comparable to the experimental estimates were obtained when the authors used as a comparison group children from noneligible households in the control localities. This paper--a product of the Poverty and Gender Unit, Latin America and the Caribbean Region--is part of a larger effort in the region to develop and apply rigorous methods in the evaluation of poverty alleviation programs"--World Bank web site.
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