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Replication data for: Nonparametric Counterfactual Predictions in Neoclassical Models of International Trade

Version
1
Resource Type
Dataset
Creator
  • Adao, Rodrigo
  • Costinot, Arnaud
  • Donaldson, Dave
Publication Date
2017-03-01
Description
  • Abstract

    We develop a methodology to construct nonparametric counterfactual predictions, free of functional form restrictions on preferences and technology, in neoclassical models of international trade. First, we establish the equivalence between such models and reduced exchange models in which countries directly exchange factor services. This equivalence implies that, for an arbitrary change in trade costs, counterfactual changes in the factor content of trade, factor prices, and welfare only depend on the shape of a reduced factor demand system. Second, we provide sufficient conditions under which estimates of this system can be recovered nonparametrically. Together, these results offer a strict generalization of the parametric approach used in so-called gravity models. Finally, we use China's recent integration into the world economy to illustrate the feasibility and potential benefits of our approach.
Availability
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Relations
  • Is supplement to
    DOI: 10.1257/aer.20150956 (Text)
Publications
  • Adao, Rodrigo, Arnaud Costinot, and Dave Donaldson. American Economic Review, American Economic Review, 107, no. 3 (n.d.): 633–89. https://doi.org/10.1257/aer.20150956.
    • ID: 10.1257/aer.20150956 (DOI)

Update Metadata: 2020-05-18 | Issue Number: 2 | Registration Date: 2019-10-12

Adao, Rodrigo; Costinot, Arnaud; Donaldson, Dave (2017): Replication data for: Nonparametric Counterfactual Predictions in Neoclassical Models of International Trade. Version: 1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E113075V1