Trade Models, Trade Elasticities, and the Gains from Trade

Working Paper: NBER ID: w20495

Authors: Ina Simonovska; Michael E. Waugh

Abstract: We argue that the welfare gains from trade in new models with micro-level margins exceed those in frameworks without these margins. Theoretically, we show that for fixed trade elasticity, different models predict identical trade flows, but different patterns of micro-level price variation. Thus, given data on trade flows and micro-level prices, different models have different implied trade elasticities and welfare gains. Empirically, models with extensive or variable mark-up margins yield significantly larger welfare gains. The results are robust to incorporating into the estimation moment conditions that use trade-flow and tariff data, which imply a common trade elasticity across models.

Keywords: No keywords provided

JEL Codes: F10; F11; F14; F17


Causal Claims Network Graph

Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.


Causal Claims

CauseEffect
welfare gains from trade in new models with microlevel margins (F11)larger than those in models without such margins (C24)
different models predict identical trade flows for fixed trade elasticities (F11)imply different patterns of microlevel price variation (D43)
Armington model results in a higher required trade elasticity (F12)to match observed price gaps (D41)
EK model's trade elasticity estimate (F11)about 20% lower than that of the Armington model (F11)
BEJK model's estimate (C51)about 33% lower than EK (F29)
welfare gains (D69)estimated to be 50% larger in the BEJK model (C51)
estimation of trade elasticities (F14)dependent on the underlying model assumptions (C51)
different models produce systematically different estimates of trade elasticities and welfare gains (F11)establish a causal link between model structure, trade elasticities, and welfare gains from trade (F11)
Armington model overpredicts welfare costs (F11)EK model closely matches observed data (E17)

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