𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Bayesian inference for the gravity model

✍ 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

No coin nor oath required. For personal study only.

✦ 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 country‐specific effects into the analysis and also show how one can explore the relationship between trade volumes and a given covariate via a non‐parametric approach. We use our derived methodology to investigate the impact of a particular aspect of institutionsβ€”the enforcement of contractsβ€”on 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.


πŸ“œ SIMILAR VOLUMES


Bayesian inference for periodic regime-s
✍ Eric Ghysels; Robert E. McCulloch; Ruey S. Tsay πŸ“‚ Article πŸ“… 1998 πŸ› John Wiley and Sons 🌐 English βš– 214 KB πŸ‘ 2 views

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 parameter inference for models
✍ Henryk Gzyl; Enrique ter Horst; Samuel W. Malone πŸ“‚ Article πŸ“… 2008 πŸ› John Wiley and Sons 🌐 English βš– 166 KB πŸ‘ 1 views

## Abstract In this paper, we describe a general method for constructing the posterior distribution of the mean and volatility of the return of an asset satisfying d__S__=__S__d__X__ for some simple models of __X__. Our framework takes as inputs the prior distributions of the parameters of the stoc

Semiparametric Bayesian inference in mul
✍ Professor Gary Koop; Dale J. Poirier; Justin Tobias πŸ“‚ Article πŸ“… 2005 πŸ› John Wiley and Sons 🌐 English βš– 216 KB

## Abstract This paper outlines an approach to Bayesian semiparametric regression in multiple equation models which can be used to carry out inference in seemingly unrelated regressions or simultaneous equations models with nonparametric components. The approach treats the points on each nonparamet

Haplotype inference using a Bayesian Hid
✍ Shuying Sun; Celia M.T. Greenwood; Radford M. Neal πŸ“‚ Article πŸ“… 2007 πŸ› John Wiley and Sons 🌐 English βš– 191 KB

## Abstract Knowledge of haplotypes is useful for understanding block structure in the genome and disease risk associations. Direct measurement of haplotypes in the absence of family data is presently impractical, and hence, several methods have been developed for reconstructing haplotypes from pop