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Author: Graham, Bryan
Resulting in 2 citations.
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Graham, Bryan Hahn, Jinyong Poirier, Alexandre Powell, James L. |
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A Quantile Correlated Random Coefficients Panel Data Model Journal of Econometrics 206,2 (October 2018): 305-335. Also: https://www.sciencedirect.com/science/article/pii/S0304407618300952 Cohort(s): NLSY79 Publisher: Elsevier Keyword(s): Collective Bargaining; Earnings; Heterogeneity; Modeling, Fixed Effects We propose a generalization of the linear quantile regression model to accommodate possibilities afforded by panel data. Specifically, we extend the correlated random coefficients representation of linear quantile regression (e.g., Koenker, 2005; Section 2.6). We show that panel data allows the econometrician to (i) introduce dependence between the regressors and the random coefficients and (ii) weaken the assumption of comonotonicity across them (i.e., to enrich the structure of allowable dependence between different coefficients). We adopt a "fixed effects" approach, leaving any dependence between the regressors and the random coefficients unmodelled. We motivate different notions of quantile partial effects in our model and study their identification... We apply our methods to study the effects of collective bargaining coverage on earnings using the National Longitudinal Survey of Youth 1979 (NLSY79). Consistent with prior work (e.g., Chamberlain, 1982; Vella and Verbeek, 1998), we find that using panel data to control for unobserved worker heterogeneity results in sharply lower estimates of union wage premia. We estimate a median union wage premium of about 9 percent, but with, in a more novel finding, substantial heterogeneity across workers. |
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Bibliography Citation
Graham, Bryan, Jinyong Hahn, Alexandre Poirier and James L. Powell. "A Quantile Correlated Random Coefficients Panel Data Model." Journal of Econometrics 206,2 (October 2018): 305-335.
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Sharkey, Patrick Graham, Bryan |
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Mobility and the Metropolis: How Communities Factor into Economic Mobility Report, Economic Mobility Project, Pew Charitable Trusts, Washington, DC., 2013. Also: http://www.pewstates.org/uploadedFiles/PCS_Assets/2013/Mobility-and-the-Metropolis.pdf Cohort(s): NLSY79, NLSY97 Publisher: Pew Charitable Trust Keyword(s): Family Income; Geocoded Data; Geographical Variation; Income; Mobility, Economic; Neighborhood Effects; Panel Study of Income Dynamics (PSID); State-Level Data/Policy; Urbanization/Urban Living Permission to reprint the abstract has not been received from the publisher. To measure differences in economic mobility across American metro areas over the last generation, this research uses three nationally representative, longitudinal data sets: the National Longitudinal Survey of Youth 1979, the National Longitudinal Survey of Youth 1997, and the Panel Study of Income Dynamics. Each data set follows and collects information on a sample of individuals over time, allowing for measurement of family income during an individual’s childhood and again in adulthood. Across the data sets, which collectively include individuals residing in 96 metro areas, the same pattern emerged: Levels of economic mobility varied substantially among the places studied. |
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Bibliography Citation
Sharkey, Patrick and Bryan Graham. "Mobility and the Metropolis: How Communities Factor into Economic Mobility." Report, Economic Mobility Project, Pew Charitable Trusts, Washington, DC., 2013. |