An Introduction to Alternative Methods in Program Impact Evaluation

Cuong Nguyen ()
Additional contact information
Cuong Nguyen: National Economics University, Hanoi, Vietnam.

Journal of Economic and Social Thought, 2016, vol. 3, issue 3, 349-375

Abstract: During the recent years, researchers as well as policy makers have been increasingly interested in impact evaluation of development programs. A large number of impact evaluations have been developed and applied to measure the impact of programs. Different impact evaluation methods rely on different identification assumptions. This paper presents an overview of several widely-used methods in program impact evaluation. In addition to a randomization-based method, these methods are categorized into: (i) methods assuming “selection on observable” and (ii) methods assuming “selection on unobservable”. The paper discusses each method under identification assumptions and estimation strategy. Identification assumptions are presented in a unified framework of counterfactual and two-equation model.

Keywords: Program impact evaluation; treatment effect; counterfactual; potential outcomes. (search for similar items in EconPapers)
JEL-codes: C40 H43 J68 (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.kspjournals.org/index.php/JEST/article/download/937/1026 (application/pdf)
http://www.kspjournals.org/index.php/JEST/article/view/937 (text/html)

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:ksp:journ3:v:3:y:2016:i:3:p:349-375

Access Statistics for this article

Journal of Economic and Social Thought is currently edited by Bilal KARGI

More articles in Journal of Economic and Social Thought from KSP Journals Istanbul, Turkey.
Bibliographic data for series maintained by Bilal KARGI ( this e-mail address is bad, please contact ).