A Spatial-Filtering Zero-Inflated Approach to the Estimation of the Gravity Model of Trade
AbstractNonlinear estimation of the gravity model with Poisson-type regression methods has become popular for modelling international trade flows, because it permits a better accounting for zero flows and extreme values in the distribution tail. Nevertheless, as trade flows are not independent from each other due to spatial and network autocorrelation, these methods may lead to biased parameter estimates. To overcome this problem, eigenvector spatial filtering (ESF) variants of the Poisson/negative binomial specifications have been proposed in the literature on gravity modelling of trade. However, no specific treatment has been developed for cases in which many zero flows are present. This paper contributes to the literature in two ways. First, by employing a stepwise selection criterion for spatial filters that is based on robust (sandwich) p-values and does not require likelihood-based indicators. In this respect, we develop an ad hoc backward stepwise function in R. Second, using this function, we select a reduced set of spatial filters that properly accounts for importer-side and exporter-side specific spatial effects, as well as network effects, both at the count and the logit processes of zero-inflated methods. Applying this estimation strategy to a cross-section of bilateral trade flows between a set of 64 countries for the year 2000, we find that our specification outperforms the benchmark models in terms of model fitting, both considering the AIC and in predicting zero (and small) flows. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Metulini, R.; Patuelli, R.; Griffith, D.A. A Spatial-Filtering Zero-Inflated Approach to the Estimation of the Gravity Model of Trade. Econometrics 2018, 6, 9.
Metulini R, Patuelli R, Griffith DA. A Spatial-Filtering Zero-Inflated Approach to the Estimation of the Gravity Model of Trade. Econometrics. 2018; 6(1):9.Chicago/Turabian Style
Metulini, Rodolfo; Patuelli, Roberto; Griffith, Daniel A. 2018. "A Spatial-Filtering Zero-Inflated Approach to the Estimation of the Gravity Model of Trade." Econometrics 6, no. 1: 9.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.