Evaluation of Development Programs: Randomized Controlled Trials or Regressions?
Chris Elbers () and
Jan Willem Gunning ()
World Bank Economic Review, 2014, vol. 28, issue 3, 432-445
Can project evaluation methods be used to evaluate programs: complex interventions involving multiple activities? A program evaluation cannot be based simply on separate evaluations of its components if interactions between the activities are important. In this paper a measure is proposed, the total program effect (TPE), which is an extension of the average treatment effect on the treated (ATET). It explicitly takes into account that in the real world (with heterogeneous treatment effects) individual treatment effects and program assignment are often correlated. The TPE can also deal with the common situation in which such a correlation is the result of decisions on (intended) program participation not being taken centrally. In this context RCTs are less suitable even for the simplest interventions. The TPE can be estimated by applying regression techniques to observational data from a representative sample from the targeted population. The approach is illustrated with an evaluation of a health insurance program in Vietnam.
References: Add references at CitEc
Citations View citations in EconPapers (1) Track citations by RSS feed
Downloads: (external link)
Access to full text is restricted to subscribers.
Working Paper: Evaluation of development programs: randomized controlled trials or regressions ? (2013)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:oup:wbecrv:v:28:y:2014:i:3:p:432-445.
Ordering information: This journal article can be ordered from
Access Statistics for this article
World Bank Economic Review is currently edited by Jaime de Melo
More articles in World Bank Economic Review from World Bank Group Oxford University Press, Great Clarendon Street, Oxford OX2 6DP, UK. Contact information at EDIRC.
Series data maintained by Oxford University Press ().