The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Instrumental Variables Estimates of the Effect of Subsidized Training on the Quantiles of Trainee Earnings
Abstract
The effect of government programs on the distribution of participants' earnings is important for program evaluation and welfare comparisons.This paper reports es- timates of the effects of JTPA training programs on the distribution of earnings.The estimation uses a new instrumental variable (IV) method that measures program impacts on the quantiles of outcome variables.This quantile treatment effects (QTE) estimator accommodates exogenous covariates and reduces to quantile regres- sion when selection for treatment is exogenously determined.The QTE estimator can be computed as the solution to a convex linear programming problem, although this requires first-step estimation of a nuisance function.We develop distribution theory for the case where the first step is estimated nonparametrically.For women, the empirical results show that the JTPA program had the largest proportional impact at low quantiles.Perhaps surprisingly, however, JTPA training raised the quantiles of earnings for men only in the upper half of the trainee earnings distribution.
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Cites
Estimating causal effects of treatments in randomized and nonrandomized studies
Rubin, D. B. (1974) · Journal of Educational Psychology · doi:10.1037/h0037350 · Cited by 9,436
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Katz, L. F., & Murphy, K. M. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118323 · Cited by 4,793
Identification of Causal Effects Using Instrumental Variables
Angrist, J. D., Imbens, G. W., & Rubin, D. B. (1996) · Journal of the American Statistical Association · doi:10.1080/01621459.1996.10476902 · Cited by 4,230
Self-citationIdentification and estimation of local average treatment effects
Imbens, G. W., & Angrist, J. D. (1994) · Econometrica · doi:10.2307/2951620 · Cited by 4,101
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
The Asymptotic Variance of Semiparametric Estimators
Newey, W. K. (1994) · Econometrica · doi:10.2307/2951752 · Cited by 717
Accounting for No-Shows in Experimental Evaluation Designs
Bloom, H. S. (1984) · Evaluation Review · doi:10.1177/0193841x8400800205 · Cited by 532
Nonparametric Estimation of Exact Consumers Surplus and Deadweight Loss
Hausman, J. A., & Newey, W. K. (1995) · Econometrica · doi:10.2307/2171777 · Cited by 284
Sources of Identifying Information in Evaluation Models
Angrist, J., & Imbens, G. (1991) · doi:10.3386/t0117 · Cited by 72
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Cited by
Mostly Harmless Econometrics: An Empiricist's Companion
Angrist, J. D., & Pischke, J.-S. (2009) · doi:10.1515/9781400829828 · Cited by 9,467
Self-citationRecent Developments in the Econometrics of Program Evaluation
Imbens, G. W., & Wooldridge, J. M. (2009) · Journal of Economic Literature · doi:10.1257/jel.47.1.5 · Cited by 4,926
Self-citationNonparametric Estimation of Average Treatment Effects Under Exogeneity: A Review
Imbens, G. W. (2004) · Review of Economics and Statistics · doi:10.1162/003465304323023651 · Cited by 2,994
Self-citationAnderson, M. L. (2008) · Journal of the American Statistical Association · doi:10.1198/016214508000000841 · Cited by 2,410
Identification and Inference in Nonlinear Difference-in-Differences Models
Athey, S., & Imbens, G. W. (2006) · Econometrica · doi:10.1111/j.1468-0262.2006.00668.x · Cited by 1,084
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Metadata
- Authors
- Abadie, A., Angrist, J., & Imbens, G.
- Venue
- Econometrica
- Publisher
- The Econometric Society
- Published
- 2002-01
- Volume
- 70
- Issue
- 1
- Pages
- 91-117
- ISSN
- 0012-9682 (ISSN-L)
- 1468-0262
- OpenAlex
- W3124338191
- Cited by
- 701
- References
- 9
- FWCI
- 22.31
- Type
- journal article
- Language
- en
- Open access
- closed
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