| Registro completo |
| Provedor de dados: |
AgEcon
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| País: |
United States
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| Título: |
Monte Carlos Appraisals of Gravity Model Specifications
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| Autores: |
Anderson, Michael A.
Ferrantino, Michael J.
Schaefer, Kurt C.
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| Data: |
2006-03-15
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| Ano: |
2004
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| Palavras-chave: |
Research and Development/Tech Change/Emerging Technologies
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| Resumo: |
Many improvements have been proposed for the basic gravity model specification, most of which are confirmed by standard statistical tests due to the large number of observations often used to estimate such models. We use Monte Carlo experiments to examine situations in which features of models may be found statistically significant (or insignificant) when it is known ex ante that they are absent (or present) in the underlying data process. Erroneous assumptions about the presence or absence of lagged dependent variables, fixed effects, free-trade associations and customs unions are shown to introduce economically important bias in estimates of the coefficients of interest, and in some cases to be confirmed spuriously. Policy effects, such as for free trade associations and currency unions, can also be confirmed spuriously when they do not exist in the data-generating process.
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| Tipo: |
Working or Discussion Paper
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| Idioma: |
Inglês
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| Identificador: |
20320
http://purl.umn.edu/15864
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| Editor: |
AgEcon Search
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| Relação: |
United States International Trade Commission>Office of Economics>Working Papers
Working Paper 2004-05-A
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| Formato: |
31
application/pdf
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