Cross-sectional dependence model specifications in a static trade panel data setting

LeSage, James P. and Fischer, Manfred M. ORCID: (2017) Cross-sectional dependence model specifications in a static trade panel data setting. Working Papers in Regional Science, 2017/01. WU Vienna University of Economics and Business, Vienna.


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The focus is on cross-sectional dependence in panel trade flow models. We propose alternative specifications for modeling time invariant factors such as socio-cultural indicator variables, e.g., common language and currency. These are typically treated as a source of heterogeneity eliminated using fixed effects transformations, but we find evidence of cross-sectional dependence after eliminating country-specific effects. These findings suggest use of alternative simultaneous dependence model specifications that accommodate cross-sectional dependence, which we set forth along with Bayesian estimation methods. Ignoring cross-sectional dependence implies biased estimates from panel trade flow models that rely on fixed effects.

Item Type: Paper
Keywords: Bayesian, MCMC estimation, socio-cultural distance, origin-destination ows, treatment of time invariant variables, panel models
Classification Codes: JEL C18, C51, R11
Divisions: Departments > Sozioökonomie > Wirtschaftsgeographie und Geoinformatik > Fischer
Depositing User: ePub Administrator
Date Deposited: 11 Dec 2017 09:22
Last Modified: 04 Nov 2019 14:28


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