An Alternative Estimator for the Censored Quantile Regression Model
Citations
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Cited by:
- Chen, Songnian, 2018. "Sequential estimation of censored quantile regression models," Journal of Econometrics, Elsevier, vol. 207(1), pages 30-52.
- Machado, Jose A F & Santos Silva, Joao M C, 2008. "Quantiles for Fractions and Other Mixed Data," Economics Discussion Papers 3550, University of Essex, Department of Economics.
- Liu, Haoming & Park, Cheolsung, 2004. "The evolution of the graduation-publication process," Economics of Education Review, Elsevier, vol. 23(5), pages 519-531, October.
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- Joshua Angrist & Victor Chernozhukov & Iván Fernández-Val, 2006.
"Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure,"
Econometrica, Econometric Society, vol. 74(2), pages 539-563, March.
- Joshua Angrist & Victor Chernozhukov & Ivan Fernandez-Val, 2004. "Quantile Regression under Misspecification, with an Application to the U.S. Wage Structure," NBER Working Papers 10428, National Bureau of Economic Research, Inc.
- Jorg Drechsler & Johannes Ludsteck, 2025. "Imputation Strategies for Rightcensored Wages in Longitudinal Datasets," Papers 2502.12967, arXiv.org.
- Denis Chetverikov & Jesper R.-V. Sørensen, 2021. "Analytic and Bootstrap-after-Cross-Validation Methods for Selecting Penalty Parameters of High-Dimensional M-Estimators," Discussion Papers 21-04, University of Copenhagen. Department of Economics.
- Lin, Wei & Cai, Zongwu & Li, Zheng & Su, Li, 2015. "Optimal smoothing in nonparametric conditional quantile derivative function estimation," Journal of Econometrics, Elsevier, vol. 188(2), pages 502-513.
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IDEP Working Papers
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"Selection and the Distribution of Female Hourly Wages in the U.S,"
Papers
1901.00419, arXiv.org, revised Jan 2022.
- Fernández-Val, Iván & van Vuuren, Aico & Vella, Francis & Peracchi, Franco, 2022. "Selection and the Distribution of Female Hourly Wages in the U.S," IZA Discussion Papers 15028, IZA Network @ LISER.
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NBER Chapters, in: Income Taxation, Trans-Atlantic Public Economics Seminar (TAPES), pages 117-141,
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Journal of Public Economics, Elsevier, vol. 133(C), pages 23-40.
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- Fack, Gabrielle & Landais, Camille, 2016. "The effect of tax enforcement on tax elasticities: evidence from charitable contributions in France," LSE Research Online Documents on Economics 64578, London School of Economics and Political Science, LSE Library.
- Gabrielle Fack & Camille Landais, 2016. "The effect of tax enforcement on tax elasticities: Evidence from charitable contributions in France," Post-Print hal-01300122, HAL.
- Gabrielle Fack & Camille Landais, 2016. "The effect of tax enforcement on tax elasticities: Evidence from charitable contributions in France," PSE-Ecole d'économie de Paris (Postprint) hal-01300122, HAL.
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- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007.
"Quantile and probability curves without crossing,"
CeMMAP working papers
CWP10/07, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves without Crossing," SciencePo Working papers hal-01052958, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves without Crossing," Sciences Po publications info:hdl:2441/5rkqqmvrn4t, Sciences Po.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile and Probability Curves Without Crossing," Papers 0704.3649, arXiv.org, revised Jul 2014.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2010. "Quantile and Probability Curves without Crossing," Post-Print hal-01052958, HAL.
- Victor Chernozhukov & Ivan Fernandez-Val & Alfred Galichon, 2007. "Quantile And Probability Curves Without Crossing," Boston University - Department of Economics - Working Papers Series WP2007-011, Boston University - Department of Economics.
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"Improving the computation of censored quantile regressions,"
Computational Statistics & Data Analysis, Elsevier, vol. 52(1), pages 88-108, September.
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IDEP Working Papers
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