Konferenzbeitrag

A spatial-filtering zero-inflated approach to the estimation of the gravity model of trade

Nonlinear estimation of the gravity model with Poisson/negative binomial methods has become popular to model international trade flows, as it permits a better accounting for large numbers of zero flows. Nevertheless, as trade flows are not independent of each other due to spatial autocorrelation, those methods lead to biased parameter estimates. To overcome this problem, eigenvector spatial filtering variants of the Poisson/Negative binomial specification has been proposed in the literature of gravity modelling of trade. This paper contributes to the literature in two ways. First, by employing a stepwise selection criterion for spatial filters which 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, both at the count and the logit process. Applying this estimation strategy to a cross-section of bilateral trade flows between a set of worldwide 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.

Sprache
Englisch

Erschienen in
Series: 56th Congress of the European Regional Science Association: "Cities & Regions: Smart, Sustainable, Inclusive?", 23-26 August 2016, Vienna, Austria

Klassifikation
Wirtschaft
Semiparametric and Nonparametric Methods: General
Single Equation Models; Single Variables: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions
Trade: General
Thema
bilateral trade
unconstrained gravity model
eigenvector spatial filtering
zero flows
backward stepwise

Ereignis
Geistige Schöpfung
(wer)
Metulini, Rodolfo
Patuelli, Roberto
Griffith, Daniel
Ereignis
Veröffentlichung
(wer)
European Regional Science Association (ERSA)
(wo)
Louvain-la-Neuve
(wann)
2016

Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Konferenzbeitrag

Beteiligte

  • Metulini, Rodolfo
  • Patuelli, Roberto
  • Griffith, Daniel
  • European Regional Science Association (ERSA)

Entstanden

  • 2016

Ähnliche Objekte (12)