Abstract
where l[A] = 1 if the event A holds and 0 otherwise, xit is a k X 1 regressor vector, ai is a unit-specific error term possibly related with xi (xi1, x2)', and uit is an error term varying across i and t. Manski (1987) proposed a semiparametric maximum score for ,B that is likely to be N1/3-consistent. Charlier et al. (1995) and Kyriazidou (1997) smooth the panel maximum score estimator adopting Horowitz' (1992) idea; the resulting estimator can converge at a rate close to but yet slower than VN. In this paper, we propose a VN-consistent semiparametric estimator for (1.1). In Section 2, the estimator is introduced and its consistency is proven. In Section 3, the asymptotic distribution is derived. In Section 4, conclusions are drawn.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.