The Asymptotics for Panel Models with Common Shocks

Syracuse University Center for Policy Research Working Paper No. 77

57 Pages Posted: 20 Apr 2011

See all articles by Chihwa Kao

Chihwa Kao

Syracuse University

Lorenzo Trapani

City University London - Sir John Cass Business School

Giovanni Urga

Centre for Econometric Analysis, Faculty of Finance, Bayes Business School (formerly Cass), London, UK

Date Written: February 1, 2006

Abstract

This paper considers models with latent/discrete endogenous regressors and presents a simulation-based two-step (STS) estimator. The endogeneity is corrected by adopting a simulation-based control function approach. The first step consists of simulating of the residuals of the reduced-form equation for endogenous regressors. The second step is a regression model (linear, latent or discrete) with the simulated residual as an additional regressor. In this paper we develop the asymptotic theory for the STS estimator and its rate of convergence.

Keywords: Cross-sectional dependence, Common shocks, Nonstationary panel

JEL Classification: C13, C23

Suggested Citation

Kao, Chihwa D. and Trapani, Lorenzo and Urga, Giovanni, The Asymptotics for Panel Models with Common Shocks (February 1, 2006). Syracuse University Center for Policy Research Working Paper No. 77, Available at SSRN: https://ssrn.com/abstract=1815257 or http://dx.doi.org/10.2139/ssrn.1815257

Chihwa D. Kao (Contact Author)

Syracuse University ( email )

900 S. Crouse Avenue
426 Eggers Hall Maxwell School of Citizenship and Public Affairs
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315-443-3233 (Phone)
315-443-1081 (Fax)

Lorenzo Trapani

City University London - Sir John Cass Business School ( email )

106 Bunhill Row
London, EC1Y 8TZ
United Kingdom

HOME PAGE: http://www.cass.city.ac.uk/faculty/l.trapani/index.html

Giovanni Urga

Centre for Econometric Analysis, Faculty of Finance, Bayes Business School (formerly Cass), London, UK ( email )

108 Bunhill Row
London, EC1Y 8TZ
United Kingdom
+44 20 7040 8698 (Phone)
+44 20 7040 8881 (Fax)

HOME PAGE: http://www.bayes.city.ac.uk/faculties-and-research/experts/giovanni-urga

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