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
Cited by
Inference on Counterfactual Distributions
(2013) · Econometrica · doi:10.3982/ecta10582 · Cited by 601
Wealth Inequality and Accumulation
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?
England, P., Bearak, J., Budig, M. J., & Hodges, M. J. (2016) · American Sociological Review · doi:10.1177/0003122416673598 · Cited by 365
Is universal child care leveling the playing field?
Havnes, T., & Mogstad, M. (2015) · Journal of Public Economics · doi:10.1016/j.jpubeco.2014.04.007 · Cited by 326
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
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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- Unconditional Quantile Regressions. (2009). Econometrica. https://doi.org/10.3982/ecta6822
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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