A quantile regression approach for estimating panel data models using instrumental variables
We introduce a quantile regression approach to panel data models with endogenous variables and individual effects correlated with the independent variables. We find newly developed quantile regression methods can be easily adapted to estimate this class of models efficiently.
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- Cecilia Elena Rouse, 1998. "Private School Vouchers and Student Achievement: An Evaluation of the Milwaukee Parental Choice Program," The Quarterly Journal of Economics, Oxford University Press, vol. 113(2), pages 553-602.
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- Victor Chernozhukov & Christian Hansen, 2004. "The Effects of 401(K) Participation on the Wealth Distribution: An Instrumental Quantile Regression Analysis," The Review of Economics and Statistics, MIT Press, vol. 86(3), pages 735-751, August.
- Chernozhukov, Victor & Hansen, Christian, 2008. "Instrumental variable quantile regression: A robust inference approach," Journal of Econometrics, Elsevier, vol. 142(1), pages 379-398, January.
- Hausman Jerry A. & Sidak J. Gregory, 2004. "Why Do the Poor and the Less-Educated Pay More for Long-Distance Calls?," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 3(1), pages 1-29, April.
- Lamarche, Carlos, 2008. "Private school vouchers and student achievement: A fixed effects quantile regression evaluation," Labour Economics, Elsevier, vol. 15(4), pages 575-590, August. Full references (including those not matched with items on IDEAS)
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