Constrained Poisson pseudo maximum likelihood estimation of structural gravity models

Michael Pfaffermayr

International Economics, 2020, issue 161, 188-198

Abstract: This paper reconsiders the estimation of structural gravity models. It introduces a constrained, projection-based Poisson pseudo maximum likelihood estimation procedure (constrained PPML) that exploits the equilibrium conditions introduced by Anderson and Van Wincoop (2003) for estimation and inference. The constrained PPML estimator avoids the estimation of the large number of exporter and importer fixed effects, and provides more reliable inference than the unconstrained PPML estimator. Moreover, based on the delta method the paper drives confidence intervals of counterfactual changes. Monte Carlo simulations yield encouraging results on the performance of the constrained PPML estimator.

Keywords: Constrained Poisson pseudo maximum likelihood estimation; International trade gravity equation structural estimation (search for similar items in EconPapers)
JEL-codes: C13 C50 F10 F15 (search for similar items in EconPapers)
Date: 2020
References: Add references at CitEc
Citations: View citations in EconPapers (5)

Downloads: (external link)
https://www.sciencedirect.com/science/article/pii/S2110701719301842 (text/html)

Related works:
Journal Article: Constrained Poisson pseudo maximum likelihood estimation of structural gravity models (2020)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:cii:cepiie:2020-q1-161-14

Access Statistics for this article

More articles in International Economics from CEPII research center Contact information at EDIRC.
Bibliographic data for series maintained by ().