The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Mystery of the Vanishing Benefits: An Introduction to Impact Evaluation
Abstract
This article provides an introduction to the concepts and methods of impact evaluation. The author provides an intuitive explanation in the context of a concrete application. The article takes the form of a short story about a fictional character's on‐the‐job training in evaluation. Ms. Speedy Analyst is an economist in the Ministry of Finance in the fictional country of Labas. In the process of figuring out how to evaluate a human resource program targeted to the poor, Ms. Analyst learns the strengths and weaknesses of the main methods of ex post impact evaluation.
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Citations
Cites
Characterizing Selection Bias Using Experimental Data
Heckman, J., Ichimura, H., Smith, J., & Todd, P. (1998) · Econometrica · doi:10.2307/2999630 · Cited by 2,286
Cited by
Microfinance and Poverty: Evidence Using Panel Data from Bangladesh
Khandker, S. R. (2005) · The World Bank Economic Review · doi:10.1093/wber/lhi008 · Cited by 1,255
Journal of Development and Agricultural Economics
(2026) · Journal of Development and Agricultural Economics · doi:10.5897/jdae · Cited by 465
(2011) · The University of Bath Online Publications Store (The University of Bath) · Cited by 284
Metadata
- Authors
- Ravallion, M.
- Venue
- The World Bank Economic Review
- Publisher
- Oxford University Press (OUP)
- Published
- 2001-06-01
- Volume
- 15
- Issue
- 1
- Pages
- 115-140
- ISSN
- 0258-6770 (ISSN-L)
- 1564-698X
- OpenAlex
- W2137564114
- Cited by
- 258
- References
- 1
- FWCI
- 4.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- Ravallion, M. (2001). The Mystery of the Vanishing Benefits: An Introduction to Impact Evaluation. The World Bank Economic Review. https://doi.org/10.1093/wber/15.1.115
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
