In search of robust methods for dynamic panel data models in empirical corporate finance



Dang, Viet Anh, Kim, Minjoo ORCID: 0000-0002-5454-2257 and Shin, Yongcheol
(2015) In search of robust methods for dynamic panel data models in empirical corporate finance. JOURNAL OF BANKING & FINANCE, 53. 84 - 98.

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Abstract

We examine which methods are appropriate for estimating dynamic panel data models in empirical corporate finance. Our simulations show that the instrumental variable and GMM estimators are unreliable, and sensitive to the presence of unobserved heterogeneity, residual serial correlation, and changes in control parameters. The bias-corrected fixed-effects estimators, based on an analytical, bootstrap, or indirect inference approach, are found to be the most appropriate and robust methods. These estimators perform reasonably well even in models with fractional dependent variables censored at [0, 1]. We verify these results in two empirical applications, on dynamic capital structure and cash holdings.

Item Type: Article
Uncontrolled Keywords: Dynamic panel data estimation, GMM, Bias correction, Capital structure, Cash holdings
Depositing User: Symplectic Admin
Date Deposited: 19 Oct 2018 09:50
Last Modified: 16 Jan 2021 16:10
DOI: 10.1016/j.jbankfin.2014.12.009
Related URLs:
URI: https://livrepository.liverpool.ac.uk/id/eprint/3027763