Quotation LeSage, James P., Fischer, Manfred M. 2018. Cross-sectional dependence model specifications in a static trade panel data setting. 58th Congress of the ERSA, Cork, Irland, 28.08.-31.08.2018.


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Abstract

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.

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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Paper presented at an academic conference or symposium
Language English
Title Cross-sectional dependence model specifications in a static trade panel data setting
Event 58th Congress of the ERSA
Year 2018
Date 28.08.-31.08.2018
Country Ireland
Location Cork
URL https://ersa.eventsair.com/QuickEventWebsitePortal/58th-ersa-congress-cork-28-31-august-2018/ersa2018
JEL JEL C18, C51, R11

Associations

People
LeSage, James P. (Former researcher)
Fischer, Manfred M. (Details)
Organization
Institute for Economic Geography and GIScience IN (Details)
Research areas (Ă–STAT Classification 'Statistik Austria')
1807 Economic geography (Details)
5323 Econometrics (Details)
5618 Regional economy (Details)
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