EconPapers    
Economics at your fingertips  
 

PPML, Gravity, and Heterogeneous Trade Elasticities

Vladimir Tyazhelnikov, Xuetao Shi and Xinbei Zhou

MPRA Paper from University Library of Munich, Germany

Abstract: We revisit the gravity equation, the most widely used empirical tool in international trade, and show that common estimators recover distinct parameters when trade elasticities are heterogeneous: Poisson pseudo-maximum likelihood (PPML) estimates the aggregate elasticity, while ordinary least squares (OLS) and Gamma PML estimate the average elasticity. We demonstrate that, contrary to common belief, differences between OLS and PPML estimates are driven primarily by elasticity heterogeneity rather than heteroskedasticity of an error term or inclusion of zero trade flows. We develop a simple test for heterogeneity and, applying it to disaggregated trade data, reject homogeneity in at least 57% of industries. We then introduce a weighted PPML (WPPML) estimator to recover the aggregate effects of arbitrary, non-uniform shocks. Using WPPML, we show that trade flows respond less to realized tariff reductions from 2001-2016 than to uniform liberalization, reflecting systematic selection in where barriers fall, with substantial variation across industries.

Keywords: Elasticity; heterogeneity; heteroskedasticity; gravity model; misspeci cation (search for similar items in EconPapers)
JEL-codes: C13 C21 C50 F10 F14 (search for similar items in EconPapers)
Date: 2026-02-01
References: Add references at CitEc
Citations:

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/128379/1/MPRA_paper_128379.pdf original version (application/pdf)

Related works:
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:pra:mprapa:128379

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2026-06-16
Handle: RePEc:pra:mprapa:128379