The DOI matches its Crossref record; 60 of the 60 references it cites were found in a registry or an index.
Alternative Approaches to Evaluation in Empirical Microeconomics
Open accessAbstract
This paper reviews a range of the most popular policy evaluation methods in empirical microeconomics: social experiments, natural experiments, matching methods, instrumental variables, discontinuity design and control functions.It discusses the identification of both the traditionally used average parameters and more complex distributional parameters.In each case, the necessary assumptions and the data requirements are considered.The adequacy of each approach is discussed drawing on the empirical evidence from the education and labor market policy evaluation literature.We also develop an education evaluation model which we use to carry through the discussion of each alternative approach.A full set of STATA datasets are provided free online which contain Monte-Carlo replications of the various specifications of the education evaluation model.There are also a full set of STATA .dofiles for each of the estimation approaches described in the paper.The .do-files can be used together with the datasets to reproduce all the results in the paper.
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Cites
The central role of the propensity score in observational studies for causal effects
ROSENBAUM, P. R., & RUBIN, D. B. (1983) · Biometrika · doi:10.1093/biomet/70.1.41 · Cited by 31,241
Sample Selection Bias as a Specification Error
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Biases in dynamic models with fixed effects
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Rosenbaum, P. R., & Rubin, D. B. (1985) · The American Statistician · doi:10.2307/2683903 · Cited by 4,774
Identification and estimation of local average treatment effects
Imbens, G. W., & Angrist, J. D. (1994) · Econometrica · doi:10.2307/2951620 · Cited by 4,101
Matching As An Econometric Evaluation Estimator
Heckman, J. J., Ichimura, H., & Todd, P. (1998) · Review of Economic Studies · doi:10.1111/1467-937x.00044 · Cited by 3,807
Regression discontinuity designs: A guide to practice
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The Central Role of the Propensity Score in Observational Studies for Causal Effects
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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
Reducing Bias in Observational Studies Using Subclassification on the Propensity Score
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Cited by
The Estimation of Causal Effects by Difference-in-Difference Methods
Lechner, M. (2011) · Foundations and Trends® in Econometrics · doi:10.1561/0800000014 · Cited by 935
No Taxation without Information: Deterrence and Self-Enforcement in the Value Added Tax
Pomeranz, D. (2015) · American Economic Review · doi:10.1257/aer.20130393 · Cited by 822
Regional policy evaluation: interactive fixed effects and synthetic controls.
Gobillon, L., & Magnac, T. (2016) · Review of Economics and Statistics · doi:10.1162/rest_a_00537 · Cited by 424
Causal Inference in Sociological Research
Gangl, M. (2010) · Annual Review of Sociology · doi:10.1146/annurev.soc.012809.102702 · Cited by 401
Kahn-Lang, A., & Lang, K. (2020) · Journal of Business & Economic Statistics · doi:10.1080/07350015.2018.1546591 · Cited by 367
Metadata
- Authors
- Blundell, R., & Costa Dias, M.
- Venue
- Journal of Human Resources
- Publisher
- University of Wisconsin Press
- Published
- 2009
- Volume
- 44
- Issue
- 3
- Pages
- 565-640
- ISSN
- 0022-166X (ISSN-L)
- 1548-8004
- OpenAlex
- W3214661451
- Cited by
- 394
- References
- 60
- FWCI
- 15.85
- Type
- journal article
- Language
- en
- Open access
- bronze
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