Instrumental variables quantile regression
Author
Abstract
Suggested Citation
Download full text from publisher
References listed on IDEAS
- Kaplan, David M. & Sun, Yixiao, 2017.
"Smoothed Estimating Equations For Instrumental Variables Quantile Regression,"
Econometric Theory, Cambridge University Press, vol. 33(1), pages 105-157, February.
- Kaplan, David M. & Sun, Yixiao, 2012. "Smoothed Estimating Equations For Instrumental Variables Quantile Regression," University of California at San Diego, Economics Working Paper Series qt888657tp, Department of Economics, UC San Diego.
- David M. Kaplan & Yixiao Sun, 2016. "Smoothed estimating equations for instrumental variables quantile regression," Papers 1609.09033, arXiv.org.
- David M. Kaplan & Yixiao Sun, 2013. "Smoothed Estimating Equations for Instrumental Variables Quantile Regression," Working Papers 1314, Department of Economics, University of Missouri.
- Poterba, James M. & Venti, Steven F. & Wise, David A., 1995.
"Do 401(k) contributions crowd out other personal saving?,"
Journal of Public Economics, Elsevier, vol. 58(1), pages 1-32, September.
- James M. Poterba & Steven F. Venti & David A. Wise, 1993. "Do 401(k) Contributions Crowd Out Other Persoanl Saving?," NBER Working Papers 4391, National Bureau of Economic Research, Inc.
- de Castro, Luciano & Galvao, Antonio F. & Kaplan, David M. & Liu, Xin, 2019.
"Smoothed GMM for quantile models,"
Journal of Econometrics, Elsevier, vol. 213(1), pages 121-144.
- Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2017. "Smoothed GMM for quantile models," Papers 1707.03436, arXiv.org, revised Feb 2018.
- Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2018. "Smoothed GMM for quantile models," Working Papers 1803, Department of Economics, University of Missouri.
- Luciano de Castro & Antonio F. Galvao & David M. Kaplan, 2017. "Smoothed instrumental variables quantile regression, with estimation of quantile Euler equations," Working Papers 1710, Department of Economics, University of Missouri, revised 28 Feb 2018.
- Chernozhukov, Victor & Hansen, Christian, 2006. "Instrumental quantile regression inference for structural and treatment effect models," Journal of Econometrics, Elsevier, vol. 132(2), pages 491-525, June.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Hiroaki Kaido & Kaspar Wüthrich, 2021.
"Decentralization estimators for instrumental variable quantile regression models,"
Quantitative Economics, Econometric Society, vol. 12(2), pages 443-475, May.
- Hiroaki Kaido & Kaspar Wuthrich, 2018. "Decentralization Estimators for Instrumental Variable Quantile Regression Models," Papers 1812.10925, arXiv.org, revised Sep 2020.
- Hiroaki Kaido & Kaspar Wüthrich, 2018. "Decentralization estimators for instrumental variable quantile regression models," CeMMAP working papers CWP72/18, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Kaido, Hiroaki & Wüthrich, Kaspar, 2021. "Decentralization estimators for instrumental variable quantile regression models," University of California at San Diego, Economics Working Paper Series qt362921wv, Department of Economics, UC San Diego.
- Hiroaki Kaido & Kaspar Wüthrich, 2019. "Decentralization estimators for instrumental variable quantile regression models," CeMMAP working papers CWP42/19, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Di Liu, 2024. "Instrumental-variables quantile regression," French Stata Users' Group Meetings 2024 07, Stata Users Group.
- Xin Liu, 2024.
"Averaging Estimation for Instrumental Variables Quantile Regression,"
Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 86(5), pages 1290-1312, October.
- Xin Liu, 2019. "Averaging estimation for instrumental variables quantile regression," Working Papers 1907, Department of Economics, University of Missouri.
- Xin Liu, 2019. "Averaging estimation for instrumental variables quantile regression," Papers 1910.04245, arXiv.org.
- Kaspar W thrich, 2015. "Semiparametric estimation of quantile treatment effects with endogeneity," Diskussionsschriften dp1509, Universitaet Bern, Departement Volkswirtschaft.
- Javier Alejo & Antonio F Galvao & Gabriel Montes-Rojas, 2023.
"A first-stage representation for instrumental variables quantile regression,"
The Econometrics Journal, Royal Economic Society, vol. 26(3), pages 350-377.
- Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2021. "A first-stage representation for instrumental variables quantile regression," Papers 2102.01212, arXiv.org, revised Feb 2022.
- de Castro, Luciano & Galvao, Antonio F. & Montes-Rojas, Gabriel, 2020. "Quantile selection in non-linear GMM quantile models," Economics Letters, Elsevier, vol. 195(C).
- He, Xuming & Pan, Xiaoou & Tan, Kean Ming & Zhou, Wen-Xin, 2023. "Smoothed quantile regression with large-scale inference," Journal of Econometrics, Elsevier, vol. 232(2), pages 367-388.
- David M. Kaplan & Xin Liu, 2024.
"k-Class instrumental variables quantile regression,"
Empirical Economics, Springer, vol. 67(1), pages 111-141, July.
- David M. Kaplan & Xin Liu, 2021. "k-Class Instrumental Variables Quantile Regression," Working Papers 2104, Department of Economics, University of Missouri.
- Wüthrich, Kaspar, 2019.
"A closed-form estimator for quantile treatment effects with endogeneity,"
Journal of Econometrics, Elsevier, vol. 210(2), pages 219-235.
- Wüthrich, Kaspar, 2019. "A closed-form estimator for quantile treatment effects with endogeneity," University of California at San Diego, Economics Working Paper Series qt99n9197q, Department of Economics, UC San Diego.
- Javier Alejo & Antonio F. Galvao & Gabriel Montes-Rojas, 2020. "A first-stage test for instrumental variables quantile regression," Asociación Argentina de Economía Política: Working Papers 4304, Asociación Argentina de Economía Política.
- David Kang & Seojeong Lee & Juha Song, 2025.
"Convergence Rates of GMM Estimators with Nonsmooth Moments under Misspecification,"
Working Papers
423283930, Lancaster University Management School, Economics Department.
- Byunghoon Kang & Seojeong Lee & Juha Song, 2025. "Convergence Rates of GMM Estimators with Nonsmooth Moments under Misspecification," Papers 2501.09540, arXiv.org.
- Christophe Muller, 2019.
"Linear Quantile Regression and Endogeneity Correction,"
Biostatistics and Biometrics Open Access Journal, Juniper Publishers Inc., vol. 9(5), pages 123-128, August.
- Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," Working Papers halshs-02272874, HAL.
- Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," Post-Print hal-02618513, HAL.
- Christophe Muller, 2019. "Linear Quantile Regression and Endogeneity Correction," AMSE Working Papers 1920, Aix-Marseille School of Economics, France.
- Firpo, Sergio & Galvao, Antonio F. & Pinto, Cristine & Poirier, Alexandre & Sanroman, Graciela, 2022. "GMM quantile regression," Journal of Econometrics, Elsevier, vol. 230(2), pages 432-452.
- Pereda-Fernández, Santiago, 2023.
"Identification and estimation of triangular models with a binary treatment,"
Journal of Econometrics, Elsevier, vol. 234(2), pages 585-623.
- Santiago Pereda Fernández, 2019. "Identification and estimation of triangular models with a binary treatment," Temi di discussione (Economic working papers) 1210, Bank of Italy, Economic Research and International Relations Area.
- de Castro, Luciano & Galvao, Antonio F. & Kaplan, David M. & Liu, Xin, 2019.
"Smoothed GMM for quantile models,"
Journal of Econometrics, Elsevier, vol. 213(1), pages 121-144.
- Luciano de Castro & Antonio F. Galvao & David M. Kaplan, 2017. "Smoothed instrumental variables quantile regression, with estimation of quantile Euler equations," Working Papers 1710, Department of Economics, University of Missouri, revised 28 Feb 2018.
- Luciano de Castro & Antonio F. Galvao & David M. Kaplan & Xin Liu, 2018. "Smoothed GMM for quantile models," Working Papers 1803, Department of Economics, University of Missouri.
- Yu, Ping & Phillips, Peter C.B., 2018.
"Threshold regression with endogeneity,"
Journal of Econometrics, Elsevier, vol. 203(1), pages 50-68.
- Ping Yu & Peter C.B. Phillips, 2014. "Threshold Regression with Endogeneity," Cowles Foundation Discussion Papers 1966, Cowles Foundation for Research in Economics, Yale University.
- Victor Chernozhukov & Christian Hansen & Kaspar Wuthrich, 2020. "Instrumental Variable Quantile Regression," Papers 2009.00436, arXiv.org.
- Antonio Francesco Gravina & Neil Foster-McGregor, 2024. "Unraveling wage inequality: tangible and intangible assets, globalization and labor market regulations," Empirical Economics, Springer, vol. 67(4), pages 1375-1420, October.
- Lorenzo Tedesco & Jad Beyhum & Ingrid Van Keilegom, 2023. "Instrumental variable estimation of the proportional hazards model by presmoothing," Papers 2309.02183, arXiv.org.
- David M. Kaplan, 2022.
"Smoothed instrumental variables quantile regression,"
Stata Journal, StataCorp LLC, vol. 22(2), pages 379-403, June.
- David M. Kaplan, 2023. "Smoothed instrumental variables quantile regression," Papers 2310.09013, arXiv.org.
Corrections
All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:boc:chin23:07. See general information about how to correct material in RePEc.
If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.
If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .
If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Christopher F Baum (email available below). General contact details of provider: https://edirc.repec.org/data/stataea.html .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.