Topic hub

Quantitative Trade Models

Quantitative trade models use calibration and counterfactual analysis to connect theory with data. The material ranges from gravity estimation to optimal-policy formulas.

quantitative trade modelsgeneral equilibrium trade modelgravitytrade counterfactualsteaching trade

What quantitative trade models do

A quantitative trade model combines a general-equilibrium theory with data on bilateral trade, tariffs, and production, then uses the calibrated equilibrium to evaluate counterfactual policies. In the workhorse frameworks associated with Armington and Eaton-Kortum, countries differ in productivity, goods are differentiated by origin, and trade costs create a wedge between production and consumption. Gravity estimation identifies key elasticities used to compute, for example, the welfare effect when tariffs rise by 10 percentage points and the optimal tariff schedule.

Nesting and generality

The WTO dissolution paper develops a non-parametric neoclassical model that nests a broad class of quantitative trade models. Its analytic optimal-tariff formulas depend on observable sufficient statistics rather than a particular parametric specification of demand or supply. As a result, the formulas apply across model variants without requiring each one to be solved anew. They also deliver the $2.8 trillion estimate of the cost of WTO dissolution reported in the trade agreements hub.

Discrete industries and non-traded goods

Standard models treat the number of traded varieties as continuous, an approximation that is less suitable when entry occurs in discrete units. Discrete Trade allows for both discrete and continuous industries. Affordability constraints and the prices of non-traded services help determine trade patterns, yielding gains-from-trade estimates that differ from continuous benchmarks. The model also generates big-push effects in which a small policy change induces discrete entry.

Technology adoption and distortions

The trade and technology adoption paper adds firm-level technology choice and labor-market distortions to a quantitative trade model. The model implies that these distortions erode roughly one-third of the productivity gains from trade liberalization. The mechanism is misallocation: firms facing distorted labor markets adopt technologies that are privately optimal but socially inefficient, and trade amplifies these choices. Standard gains-from-trade calculations, which assume undistorted factor markets, therefore overstate the benefits of openness in economies with large distortions.

Trade costs and quality

Weight-based quality specialization evaluates the iceberg trade-cost assumption using specialization along the weight margin. Heavier goods face higher per-unit shipping costs, so distant exporters specialize in lighter, higher-quality varieties. This micro-level evidence supports the trade-cost specification used in nearly every quantitative trade model.

Related papers

Trade and Technology Adoption in Distorted Economies

This paper studies how labor-market distortions change technology adoption and the gains from trade. It shows that distorted economies adopt modern technology too slowly and therefore miss a large share of trade-driven productivity gains.

Discrete Trade

This paper shows that indivisible goods generate stronger pricing-to-market and quality specialization patterns than standard trade models predict. It uses that insight to reinterpret how globalization works in discrete-product industries.

Weight-Based Quality Specialization

This paper documents that product weight itself is an economically meaningful quality margin. It links export prices, transport costs, and specialization patterns to the weight of traded goods.

Direct-answer pages

Related topics

Key questions

What kind of model material is available here?

Graduate lecture notes cover model primitives, gravity estimation, and counterfactual methods. The research papers extend the standard framework to scale economies, discrete industries, labor-market distortions, and optimal-tariff computation.

Who is this hub for?

The material is intended for PhD students learning quantitative trade, researchers seeking analytic optimal-tariff formulas or structural estimation strategies, and policy analysts assessing what trade-model counterfactuals can and cannot establish.