Penalized Quantile Regression with Semiparametric Correlated Effects: Applications with Heterogeneous Preferences
Author
Abstract
Suggested Citation
Download full text from publisher
Other versions of this item:
- Matthew Harding & Carlos Lamarche, 2017. "Penalized Quantile Regression with Semiparametric Correlated Effects: An Application with Heterogeneous Preferences," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 32(2), pages 342-358, March.
References listed on IDEAS
- Kato, Kengo & F. Galvao, Antonio & Montes-Rojas, Gabriel V., 2012. "Asymptotics for panel quantile regression models with individual effects," Journal of Econometrics, Elsevier, vol. 170(1), pages 76-91.
- Burtless, Gary & Hausman, Jerry A, 1978.
"The Effect of Taxation on Labor Supply: Evaluating the Gary Negative Income Tax Experiments,"
Journal of Political Economy,
University of Chicago Press, vol. 86(6), pages 1103-1130, December.
- G. Burtless & J. A. Hausman, 1977. "The Effect of Taxation on Labor Supply: Evaluating the Gary Negative Income Tax Experiment," Working papers 211, Massachusetts Institute of Technology (MIT), Department of Economics.
- He, Xuming & Shi, Peide, 1996. "Bivariate Tensor-Product B-Splines in a Partly Linear Model," Journal of Multivariate Analysis, Elsevier, vol. 58(2), pages 162-181, August.
- repec:wly:japmet:v:1:y:1986:i:1:p:55-80 is not listed on IDEAS
- Harding, Matthew & Lamarche, Carlos, 2009. "A quantile regression approach for estimating panel data models using instrumental variables," Economics Letters, Elsevier, vol. 104(3), pages 133-135, September.
- van Soest, Arthur & Das, Marcel & Gong, Xiaodong, 2002. "A structural labour supply model with flexible preferences," Journal of Econometrics, Elsevier, vol. 107(1-2), pages 345-374, March.
- MaCurdy, Thomas E, 1981. "An Empirical Model of Labor Supply in a Life-Cycle Setting," Journal of Political Economy, University of Chicago Press, vol. 89(6), pages 1059-1085, December.
- Anil Kumar, 2012.
"Nonparametric estimation of the impact of taxes on female labor supply,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 27(3), pages 415-439, April.
- Kumar, Anil, 2005. "Nonparametric estimation of the impact of taxes on female labor supply," Working Papers 0505, Federal Reserve Bank of Dallas.
- Ivan A. Canay, 2011. "A simple approach to quantile regression for panel data," Econometrics Journal, Royal Economic Society, vol. 14(3), pages 368-386, October.
- Koenker, Roger, 2004. "Quantile regression for longitudinal data," Journal of Multivariate Analysis, Elsevier, vol. 91(1), pages 74-89, October.
- Yanlin Tang & Huixia Wang & Xuming He & Zhongyi Zhu, 2012. "An informative subset-based estimator for censored quantile regression," TEST: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de EstadÃstica e Investigación Operativa, vol. 21(4), pages 635-655, December.
- Richard Blundell & Costas Meghir, 1986.
"Selection criteria for a microeconometric model of labour supply,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 1(1), pages 55-80, January.
- Blundell, Richard & Meghir, Costas, 1986. "Selection Criteria for a Microeconometric Model of Labour Supply," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 1(1), pages 55-80, January.
- Blundell, Richard William & Meghir, Costas, 1985. "Selection Criteria for a Microeconometric Model of Labour Supply," CEPR Discussion Papers 57, C.E.P.R. Discussion Papers.
- Rosen, Adam M., 2012.
"Set identification via quantile restrictions in short panels,"
Journal of Econometrics,
Elsevier, vol. 166(1), pages 127-137.
- Adam Rosen, 2009. "Set identification via quantile restrictions in short panels," CeMMAP working papers CWP26/09, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
- Muellbauer, John, 1974. "Household Production Theory, Quality, and the "Hedonic Technique."," American Economic Review, American Economic Association, vol. 64(6), pages 977-994, December.
- Antonio F. Galvao & Carlos Lamarche & Luiz Renato Lima, 2013. "Estimation of Censored Quantile Regression for Panel Data With Fixed Effects," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 108(503), pages 1075-1089, September.
- Graham, Bryan S. & Hahn, Jinyong & Powell, James L., 2009. "The incidental parameter problem in a non-differentiable panel data model," Economics Letters, Elsevier, vol. 105(2), pages 181-182, November.
- Chamberlain, Gary, 1982. "Multivariate regression models for panel data," Journal of Econometrics, Elsevier, vol. 18(1), pages 5-46, January.
- Lamarche, Carlos, 2010. "Robust penalized quantile regression estimation for panel data," Journal of Econometrics, Elsevier, vol. 157(2), pages 396-408, August.
- Joel L. Horowitz & Sokbae Lee, 2007.
"Nonparametric Instrumental Variables Estimation of a Quantile Regression Model,"
Econometrica,
Econometric Society, vol. 75(4), pages 1191-1208, July.
- Joel L. Horowitz & Sokbae (Simon) Lee, 2006. "Nonparametric instrumental variables estimation of a quantile regression model," CeMMAP working papers CWP09/06, Centre for Microdata Methods and Practice, Institute for Fiscal Studies.
Citations
Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
Cited by:
- repec:eee:econom:v:211:y:2019:i:1:p:61-82 is not listed on IDEAS
- Hartley, Robert Paul & Lamarche, Carlos, 2018.
"Behavioral responses and welfare reform: Evidence from a randomized experiment,"
Labour Economics,
Elsevier, vol. 54(C), pages 135-151.
- Hartley, Robert Paul & Lamarche, Carlos, 2017. "Behavioral Responses and Welfare Reform: Evidence from a Randomized Experiment," IZA Discussion Papers 10905, Institute of Labor Economics (IZA).
- Harding, Matthew & Lamarche, Carlos, 2019.
"A panel quantile approach to attrition bias in Big Data: Evidence from a randomized experiment,"
Journal of Econometrics,
Elsevier, vol. 211(1), pages 61-82.
- Matthew Harding & Carlos Lamarche, 2018. "A Panel Quantile Approach to Attrition Bias in Big Data: Evidence from a Randomized Experiment," Papers 1808.03364, arXiv.org.
- Jiaying Gu & Stanislav Volgushev, 2018. "Panel Data Quantile Regression with Grouped Fixed Effects," Papers 1801.05041, arXiv.org, revised Aug 2018.
More about this item
Keywords
labor supply; quantile regression; panel data; shrinkage; scanner data;JEL classification:
- C21 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Cross-Sectional Models; Spatial Models; Treatment Effect Models
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
NEP fields
This paper has been announced in the following NEP Reports:- NEP-ECM-2013-11-29 (Econometrics)
Statistics
Access and download statisticsCorrections
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:iza:izadps:dp7741. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Holger Hinte). General contact details of provider: http://www.iza.org .
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 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.
Please note that corrections may take a couple of weeks to filter through the various RePEc services.