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Mobility and the Return to Education: Testing a Roy Model with Multiple Markets
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Self–selected migration presents one potential explanation for why observed returns to a college education in local labor markets vary widely even though U.S. workers are highly mobile. To assess the impact of self–selection on estimated returns, this paper first develops a Roy model of mobility and earnings where workers choose in which of the 50 states (plus the District of Columbia) to live and work. Available estimation methods are either infeasible for a selection model with so many alternatives or place potentially severe restrictions on earnings and the selection process. This paper develops an alternative econometric methodology that combines Lee's (1983) parametric maximum order statistic approach to reduce the dimensionality of the error terms with more recent work on semiparametric estimation of selection models (e.g., Ahn and Powell (1993)). The resulting semiparametric correction is easy to implement and can be adapted to a variety of other polychotomous choice problems. The empirical work, which uses 1990 U.S. Census data, confirms the role of comparative advantage in mobility decisions. The results suggest that self–selection of higher educated individuals to states with higher returns to education generally leads to upward biases in OLS estimates of the returns to education in state–specific labor markets. While the estimated returns to a college education are significantly biased, correcting for the bias does not narrow the range of returns across states. Consistent with the finding that the corrected return to a college education differs across the U.S., the relative state–to–state migration flows of college– versus high school–educated individuals respond strongly to differences in the return to education and amenities across states.
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Cites
Sample Selection Bias as a Specification Error
Heckman, J. J. (1979) · Econometrica · doi:10.2307/1912352 · Cited by 28,779
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Hausman, J. A. (1978) · Econometrica · doi:10.2307/1913827 · Cited by 18,820
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Katz, L. F., & Murphy, K. M. (1992) · The Quarterly Journal of Economics · doi:10.2307/2118323 · Cited by 4,793
Shadow Prices, Market Wages, and Labor Supply
Heckman, J. (1974) · Econometrica · doi:10.2307/1913937 · Cited by 1,852
The Asymptotic Variance of Semiparametric Estimators
Newey, W. K. (1994) · Econometrica · doi:10.2307/2951752 · Cited by 717
School Finance Reform, the Distribution of School Spending, and the Distribution of SAT Scores
Card, D., & Payne, A. A. (1998) · doi:10.3386/w6766 · Cited by 61
Cited by
Understanding Instrumental Variables in Models with Essential Heterogeneity
Heckman, J. J., Urzua, S., & Vytlacil, E. (2006) · Review of Economics and Statistics · doi:10.1162/rest.88.3.389 · Cited by 874
Estimating Agglomeration Economies with History, Geology, and Worker Effects
Combes, P.-P., Duranton, G., Gobillon, L., & Roux, S. (2010) · Agglomeration Economics · doi:10.7208/chicago/9780226297927.003.0002 · Cited by 386
The identification of agglomeration economies
Combes, P.-P., Duranton, G., & Gobillon, L. (2011) · Journal of Economic Geography · doi:10.1093/jeg/lbq038 · Cited by 341
Understanding Instrumental Variables in Models with Essential Heterogeneity
Heckman, J., Urzua, S., & Vytlacil, E. (2006) · National Bureau of Economic Research · doi:10.3386/w12574 · Cited by 329
Are Some Degrees Worth More than Others? Evidence from college admission cutoffs in Chile
Hastings, J., Neilson, C., & Zimmerman, S. (2013) · doi:10.3386/w19241 · Cited by 234
Metadata
- Authors
- Dahl, G. B.
- Venue
- Econometrica
- Publisher
- The Econometric Society
- Published
- 2002-11
- Volume
- 70
- Issue
- 6
- Pages
- 2367-2420
- ISSN
- 0012-9682 (ISSN-L)
- 1468-0262
- OpenAlex
- W2065332420
- Cited by
- 583
- References
- 6
- FWCI
- 19.14
- Type
- journal article
- Language
- en
- Open access
- bronze
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