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Abstract
Since its inception, the gravity model has been the cornerstone of empirical trade analysis. It has been
used to estimate the marginal e↵ects of various determinants of trade as well as to test hypothesized
relationships, many of which have direct and significant policy implications. Conventional estimation
methods derive the marginal e↵ects of the covariates at the mean; or rather, only estimate the average
e↵ect of an explanatory variable on trade flows. This study applies unconditional quantile estimation
(UQE), as developed by Firpo, Fortin, and Lemieux (2009), to a variant of the gravity model developed
by Hallak (2006) in order to obtain income and distance elasticity estimates for imports of six di↵erentiated
agrifood products. Findings suggest that both income and distance elasticity estimates do vary
across quantiles, suggesting that conventional estimation methods may limit the depth of analysis. The
estimated income elasticities vary across products as well, both in terms of the underlying trends across
quantiles and in magnitude, further demonstrating the capacity of UQE to identify how the underlying
trend across quantiles is conditional on the product under examination.