What We Miss By Missing Data: Aid Effectiveness Revisited

Anja Breitwieser and Katharina Wick

World Development, 2016, vol. 78, issue C, 554-571

Abstract: Missing data is an issue in many empirical applications, as it may entail efficiency losses as well as biased results. We address these problems within the literature that investigates the effect of foreign aid on welfare. Using multiple imputation techniques to account for the missing data, we find lower aid effectiveness. In addition, imputation allows for comparison of different welfare indicators within the same framework. We find that the respective indicator choice can matter for the ensuing results.

Keywords: aid effectiveness; welfare indicators; sample selection; missing data; multiple imputation techniques; developing countries (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (7)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0305750X15002284
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:wdevel:v:78:y:2016:i:c:p:554-571

DOI: 10.1016/j.worlddev.2015.10.006

Access Statistics for this article

World Development is currently edited by O. T. Coomes

More articles in World Development from Elsevier
Bibliographic data for series maintained by Catherine Liu ().