Arbeitspapier
Estimating distributions of potential outcomes using local instrumental variables with an application to changes in college enrollment and wage inequality
This paper extends the method of local instrumental variables developed by Heckman and Vytlacil (1999, 2001, 2005) to the estimation of not only means, but also distributions of potential outcomes. The newly developed method is illustrated by applying it to changes in college enrollment and wage inequality using data from the National Longitudinal Survey of Youth of 1979. Increases in college enrollment cause changes in the distribution of ability among college and high school graduates. This paper estimates a semiparametric selection model of schooling and wages to show that, for fixed skill prices, a 14% increase in college participation (analogous to the increase observed in the 1980s), reduces the college premium by 12% and increases the 90-10 percentile ratio among college graduates by 2%.
- Sprache
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Englisch
- Erschienen in
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Series: cemmap working paper ; No. CWP01/09
Semiparametric and Nonparametric Methods: General
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Wage Level and Structure; Wage Differentials
composition effects
local instrumental variables
marginal treatment effect
semiparametric estimation
wage inequality
Bildungsverhalten
Lohndifferenzierung
Akademiker
Nichtparametrisches Verfahren
USA
Lee, Sokbae
- DOI
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doi:10.1920/wp.cem.2009.0109
- Handle
- Letzte Aktualisierung
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20.09.2024, 08:21 MESZ
Objekttyp
- Arbeitspapier
Beteiligte
- Carneiro, Pedro
- Lee, Sokbae
- Centre for Microdata Methods and Practice (cemmap)
Entstanden
- 2009