Tyazhelnikov, Vladimir and Shi, Xuetao and Zhou, Xinbei (2026): PPML, Gravity, and Heterogeneous Trade Elasticities.
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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.
| Item Type: | MPRA Paper |
|---|---|
| Original Title: | PPML, Gravity, and Heterogeneous Trade Elasticities |
| Language: | English |
| Keywords: | Elasticity, heterogeneity, heteroskedasticity, gravity model, misspeci cation |
| Subjects: | C - Mathematical and Quantitative Methods > C1 - Econometric and Statistical Methods and Methodology: General > C13 - Estimation: General C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C21 - Cross-Sectional Models ; Spatial Models ; Treatment Effect Models ; Quantile Regressions C - Mathematical and Quantitative Methods > C5 - Econometric Modeling > C50 - General F - International Economics > F1 - Trade > F10 - General F - International Economics > F1 - Trade > F14 - Empirical Studies of Trade |
| Item ID: | 128379 |
| Depositing User: | Dr Vladimir Tyazhelnikov |
| Date Deposited: | 12 Jun 2026 12:06 |
| Last Modified: | 12 Jun 2026 12:06 |
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| URI: | https://mpra.ub.uni-muenchen.de/id/eprint/128379 |

