What We Miss By Missing Data: Aid Effectiveness Revisited
AbstractMissing data is a major problem in empirical development economics, as it may entail efficiency losses as well as biased results. This is an issue within the literature that investigates the effect of foreign aid on welfare. Using multiple imputation techniques, we address these problems and find lower aid effectiveness than previous studies suggest. In addition, imputation allows for comparison of different welfare indicators within the same framework. We find that if aid effectiveness is evaluated based on such indicators, the respective indicator choice can matter for the results.
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Bibliographic InfoPaper provided by University of Vienna, Department of Economics in its series Vienna Economics Papers with number 1302.
Date of creation: Mar 2013
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Find related papers by JEL classification:
- F35 - International Economics - - International Finance - - - Foreign Aid
- H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
- I25 - Health, Education, and Welfare - - Education - - - Education and Economic Development
- O10 - Economic Development, Technological Change, and Growth - - Economic Development - - - General
- O11 - Economic Development, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-03-16 (All new papers)
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