A computationally practical simulation estimation algorithm for dynamic panel data models with unobserved endogenous state variables


Sauer, Robert and Keane, Michael P. (2007) A computationally practical simulation estimation algorithm for dynamic panel data models with unobserved endogenous state variables. Southampton, UK, University of Southampton, 62pp. (Discussion Papers in Economics and Econometrics, 0705).

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Description/Abstract

This paper develops a new simulation estimation algorithm that is particularly useful for estimating dynamic panel data models with unobserved endogenous state variables. The new approach can deal with the commonly encountered and widely discussed ``initial conditions problem,'' as well as the more general problem of missing state variables at any point during the sample period.

Repeated sampling experiments on a dynamic panel data probit model with serially correlated errors indicate that the estimator has good small sample properties and is computationally practical for use with panels of the size that are likely to be encountered in practice.

Item Type: Monograph (Discussion Paper)
ISSNs: 0966-4246 (print)
Related URLs:
Keywords: initial conditions, missing data, discrete choice, simulation estimation
Subjects: H Social Sciences > HA Statistics
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions: University Structure - Pre August 2011 > School of Social Sciences > Economics
ePrint ID: 35074
Date Deposited: 19 May 2006
Last Modified: 27 Mar 2014 18:21
Publisher: University of Southampton
URI: http://eprints.soton.ac.uk/id/eprint/35074

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