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Cited by 262

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Four Parameters of Interest in the Evaluation of Social Programs

Heckman, James, Tobias, Justin L., Vytlacil, Edward·2001·Southern Economic Journal

Abstract

This paper reviews four treatment parameters that have become commonly used in the program evaluation literature: the average treatment effect, the effect of treatment on the treated, the local average treatment effect, and the marginal treatment effect. We derive simply computed closed‐form expressions for these treatment parameters in a latent variable framework with Gaussian error terms. These parameters can be estimated using nothing more than output from a standard two‐step procedure. We also briefly describe recent work that seeks to go beyond mean effects and estimate the distributions associated with various outcome gains. The techniques presented in the paper are applied to estimate the return to some form of college education for various populations using data from the National Longitudinal Survey of Youth.

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Crossref · 10.1002/j.2325-8012.2001.tb00416.x

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Metadata

Authors
Heckman, J., Tobias, J. L., & Vytlacil, E.
Venue
Southern Economic Journal
Publisher
Wiley
Published
2001-10
Volume
68
Issue
2
Pages
210-223
ISSN
  • 0038-4038 (ISSN-L)
  • 2325-8012
OpenAlex
W1543163821
Cited by
262
References
2
FWCI
8.60
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Four Parameters of Interest in the Evaluation of Social Programs. https://app.cochat.ai/papers/10.1002/j.2325-8012.2001.tb00416.x
The paper
Heckman, J., Tobias, J. L., & Vytlacil, E. (2001). Four Parameters of Interest in the Evaluation of Social Programs. Southern Economic Journal. https://doi.org/10.1002/j.2325-8012.2001.tb00416.x

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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.