We present a general class of nonlinear time-series Markov regime-switching models for seasonal data which may exhibit periodic features in the hidden Markov process as well as in the laws of motion in each of the regimes. This class of models allows for non-trivial dependencies between seasonal, cy
Bayesian inference for the gravity model
β Scribed by Priya Ranjan; Justin L. Tobias
- Publisher
- John Wiley and Sons
- Year
- 2007
- Tongue
- English
- Weight
- 200 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0883-7252
- DOI
- 10.1002/jae.926
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β¦ Synopsis
Abstract
This paper seeks to empirically extend the gravity model, which has been widely used to analyze volumes of trade between pairs of countries. We generalize the basic threshold tobit model by allowing for the inclusion of countryβspecific effects into the analysis and also show how one can explore the relationship between trade volumes and a given covariate via a nonβparametric approach. We use our derived methodology to investigate the impact of a particular aspect of institutionsβthe enforcement of contractsβon bilateral trade. We find that contract enforcement matters in predicting trade volumes for all types of goods, that it matters most for the trade of differentiated goods, and that the relationship between contract enforcement and trade in our threshold tobit exhibits some nonlinearities. Copyright Β© 2007 John Wiley & Sons, Ltd.
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