The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
The Pre‐programme Earnings Dip and the Determinants of Participation in a Social Programme. Implications for Simple Programme Evaluation Strategies
Abstract
The key to estimating the impact of a programme is constructing the counterfactual outcome representing what would have happened in its absence. This problem becomes more complicated when agents, such as individuals, firms or local governments, self‐select into the programme rather than being exogenously assigned to it. This paper uses data from a major social experiment to identify what would have happened to the earnings of self‐selected participants in a job training programme had they not participated in it. We investigate the implications of these earnings patterns for the validity of widely‐used before‐after and difference‐in‐differences estimators.
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Citations
Cites
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
Self-citationCharacterizing Selection Bias Using Experimental Data
Heckman, J., Ichimura, H., Smith, J., & Todd, P. (1998) · Econometrica · doi:10.2307/2999630 · Cited by 2,286
Self-citationEstimating the Effect of Training Programs on Earnings
Ashenfelter, O. (1978) · The Review of Economics and Statistics · doi:10.2307/1924332 · Cited by 1,515
Cited by
SOME PRACTICAL GUIDANCE FOR THE IMPLEMENTATION OF PROPENSITY SCORE MATCHING
Caliendo, M., & Kopeinig, S. (2008) · Journal of Economic Surveys · doi:10.1111/j.1467-6419.2007.00527.x · Cited by 6,238
Does matching overcome lalonde’s critique of nonexperimental estimators?
A. Smith, J., & E. Todd, P. (2005) · Journal of Econometrics · doi:10.1016/j.jeconom.2004.04.011 · Cited by 3,176
Cook, T. D., Shadish, W. R., & Wong, V. C. (2008) · Journal of Policy Analysis and Management · doi:10.1002/pam.20375 · Cited by 604
Cleaning House: The Impact of Information Technology Monitoring on Employee Theft and Productivity
Pierce, L., Snow, D. C., & McAfee, A. (2015) · Management Science · doi:10.1287/mnsc.2014.2103 · Cited by 251
‘Naming and shaming for conservation: evidence from the Brazilian Amazon’
Cisneros, E., Zhou, S. L., & Börner, J. (2015) · PLOS ONE · doi:10.1371/journal.pone.0136402 · Cited by 132
Metadata
- Authors
- Heckman, J. J., & Smith, J. A.
- Venue
- The Economic Journal
- Publisher
- Oxford University Press (OUP)
- Published
- 1999-07-01
- Volume
- 109
- Issue
- 457
- Pages
- 313-348
- ISSN
- 0013-0133 (ISSN-L)
- 1468-0297
- OpenAlex
- W2057184365
- Cited by
- 386
- References
- 3
- FWCI
- 8.97
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: The Pre‐programme Earnings Dip and the Determinants of Participation in a Social Programme. Implications for Simple Programme Evaluation Strategies. https://app.cochat.ai/papers/10.1111/1468-0297.00451
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- Heckman, J. J., & Smith, J. A. (1999). The Pre‐programme Earnings Dip and the Determinants of Participation in a Social Programme. Implications for Simple Programme Evaluation Strategies. The Economic Journal. https://doi.org/10.1111/1468-0297.00451
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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.
