|This centre is a member of The LSE Research Laboratory [RLAB]: CASE | CVER | CEP | SERC | STICERD||Cookies?|
Paper No' EM 598: | Full paper
Save Reference as: BibTeX File | EndNote Import File
Keywords: asymptotic bias, bias correction, fixed effects, information bias, modified profile likelihood, panel data, MCMC, penalization, rectangular-array asymptotics
JEL Classification: C12; C14
Is hard copy/paper copy available? YES - Paper Copy Still In Print.
This Paper is published under the following series: Econometrics
Share this page: Google Bookmarks | Facebook | Twitter
Abstract:The use of two-way fixed-effect models is widespread. The presence of incidental parameter bias, however, invalidates statistical inference based on the likelihood. In this paper we consider modifications to the (profile) likelihood that yield asymptotically unbiased estimators as well as likelihood-ratio and score tests with correct size. The modifications are widely applicable and easy to implement. Our examples illustrate that the modifications can lead to dramatic improvements relative to the maximum likelihood method both in terms of point estimation and inference.
Copyright © RLAB & LSE 2003 - 2018 | LSE, Houghton Street, London WC2A 2AE | Contact: RLAB | Site updated 20 November 2018