Abstract
We propose new methods to identify the impact of country-specific characteristics, policies, and trade costs on bilateral trade flows within the structural gravity framework. We complement theory with a simple two-stage estimating procedure and offer proof of concept by quantifying the impact of country-specific research and development (R&D) expenditure on trade. Our results suggest a positive relationship overall, but a larger impact of R&D on international (versus domestic) trade. Importantly, our methods deliver trade elasticity estimates without the need for price or tariff data, and we highlight this feature by obtaining aggregate and sectoral trade elasticity estimates, including for services.
Original language | English |
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Journal | Journal of Applied Econometrics |
Early online date | 20 May 2025 |
DOIs | |
Publication status | E-pub ahead of print - 20 May 2025 |
Bibliographical note
Copyright © 2025 Bank of England and The Author(s). Journal of Applied Econometrics published by John Wiley & Sons Ltd. This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.Data Access Statement
The data is publicly available. Specifically, all necessary information and instructions for obtaining and managing the data, as well as the step-by-step procedures used to replicate all results presented in both the manuscript and the supporting information appendix, are publicly available at: https://journaldata.zbw.eu/dataset/new-methods-to-estimate-country-specific-effects-and-trade-elasticities-with-the-structural-gravityKeywords
- Structural gravity
- Country-specific trade costs
- Trade elasticity
- Elasticity of substitution
- Services
- R&D and trade
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Unlocking New Methods to Estimate Country-specific Effects and Trade Elasticities with the Structural Gravity Model
Freeman, R. (Creator), Larch, M. (Creator), Theodorakopoulos , A. (Creator) & Yotov, Y. V. (Creator), 1 Jan 2025
DOI: 10.15456/jae.2025058.1704592316
Dataset