The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Unconditional Quantile Regressions
Abstract
We propose a new regression method to evaluate the impact of changes in the distribution of the explanatory variables on quantiles of the unconditional (marginal) distribution of an outcome variable. The proposed method consists of running a regression of the (recentered) influence function (RIF) of the unconditional quantile on the explanatory variables. The influence function, a widely used tool in robust estimation, is easily computed for quantiles, as well as for other distributional statistics. Our approach, thus, can be readily generalized to other distributional statistics.
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Citations
Cites
The polarization of the U.S. labor market
Autor, D. H., Katz, L. F., & Kearney, M. S. (2006) · American Economic Review · doi:10.1257/000282806777212620 · Cited by 1,594
The Asymptotic Variance of Semiparametric Estimators
Newey, W. K. (1994) · Econometrica · doi:10.2307/2951752 · Cited by 717
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Killewald, A., Pfeffer, F. T., & Schachner, J. N. (2017) · Annual Review of Sociology · doi:10.1146/annurev-soc-060116-053331 · Cited by 482
“The first, unconditional quantile regression, estimates how changes in independent variables are associated with changes in various quantiles of the outcome variable, net of control variables (Firpo et al. 2009, Killewald & Bearak 2014).”
BackgroundDo Highly Paid, Highly Skilled Women Experience the Largest Motherhood Penalty?
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Is universal child care leveling the playing field?
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Compensating for academic loss: Online learning and student performance during the COVID-19 pandemic
Clark, A. E., Nong, H., Zhu, H., & Zhu, R. (2021) · China Economic Review · doi:10.1016/j.chieco.2021.101629 · Cited by 271
COVID-19 predictability in the United States using Google Trends time series
Mavragani, A., & Gkillas, K. (2020) · Scientific Reports · doi:10.1038/s41598-020-77275-9 · Cited by 140
Increased instruction hours and the widening gap in student performance
Huebener, M., Kuger, S., & Marcus, J. (2017) · Labour Economics · doi:10.1016/j.labeco.2017.04.007 · Cited by 105
Competitive effects of scope of practice restrictions: Public health or public harm?
Markowitz, S., Adams, E. K., Lewitt, M. J., & Dunlop, A. L. (2017) · Journal of Health Economics · doi:10.1016/j.jhealeco.2017.07.004 · Cited by 86
van de Werfhorst, H. G. (2018) · Research in Social Stratification and Mobility · doi:10.1016/j.rssm.2018.09.002 · Cited by 41
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Maroto, M. (2016) · Sociological Science · doi:10.15195/v3.a34 · Cited by 41
COVID-19, school closures, and student learning outcomes. New global evidence from PISA
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Koebel, K., & Schirle, T. (2016) · Canadian Public Policy · doi:10.3138/cpp.2015-049 · Cited by 34
Level of Criminal Justice Contact and Early Adult Wage Inequality
Apel, R., & Powell, K. (2019) · RSF: The Russell Sage Foundation Journal of the Social Sciences · doi:10.7758/rsf.2019.5.1.09 · Cited by 29
Antón, J. I., & Muñoz de Bustillo, R. (2016) · Investigación Económica · doi:10.1016/j.inveco.2015.08.005 · Cited by 23
Should we increase instruction time in low achieving schools? Evidence from Southern Italy
Battistin, E., & Meroni, E. C. (2016) · Economics of Education Review · doi:10.1016/j.econedurev.2016.08.003
Metadata
- Venue
- Econometrica
- Publisher
- The Econometric Society
- Published
- 2009
- Volume
- 77
- Issue
- 3
- Pages
- 953-973
- ISSN
- 0012-9682 (ISSN-L)
- OpenAlex
- W2112231177
- Cited by
- 2,226
- References
- 2
- FWCI
- 28.15
- Type
- journal article
- Language
- en
- Open access
- closed
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