Estimating the gravity model without gravity using panel data
This article examines the effects of zero trade on the estimation of the gravity model using both simulated and real data with a panel structure, which is different from the more conventional cross-sectional structure. We begin by showing that the usual log-linear estimation method can result in hig...
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Published in | Applied economics Vol. 43; no. 6; pp. 641 - 649 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
London
Routledge
01.03.2011
Taylor and Francis Journals Taylor & Francis Ltd Taylor & Francis (Routledge) |
Series | Applied Economics |
Subjects | |
Online Access | Get full text |
ISSN | 0003-6846 1466-4283 1466-4283 |
DOI | 10.1080/00036840802599784 |
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Summary: | This article examines the effects of zero trade on the estimation of the gravity model using both simulated and real data with a panel structure, which is different from the more conventional cross-sectional structure. We begin by showing that the usual log-linear estimation method can result in highly deceptive inference when some observations are zero. As an alternative approach, we suggest using the poisson fixed effects estimator. This approach eliminates the problems of zero trade, controls for heterogeneity across countries, and is shown to perform well in small samples. |
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Bibliography: | SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 14 ObjectType-Article-2 content type line 23 |
ISSN: | 0003-6846 1466-4283 1466-4283 |
DOI: | 10.1080/00036840802599784 |