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Endogenous Market Structures in International Trade
Open accessAbstract
Almost all of the large literature on international trade with imperfect competition assumes exogenous market structures. The purpose of this paper is to develop a simple model that generates alternative market structures as Nash equilibria for different parameterizations of the basic model. Familiar configurations such as a duopoly competing in exports or a single multinational producing in both markets arise as special cases. Small tax-policy changes can produce large welfare effects as the equilibrium market structure shifts, implying discontinuous jumps in prices, quantities, and profits.
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Citations
Cited by
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Export-Platform Foreign Direct Investment
Ekholm, K., Forslid, R., & Markusen, J. R. (2007) · Journal of the European Economic Association · doi:10.1162/jeea.2007.5.4.776 · Cited by 626
Self-citationYeaple, S. R. (2003) · Journal of International Economics · doi:10.1016/s0022-1996(02)00051-x · Cited by 540
Endogenous R&D and foreign direct investment in international oligopolies
Petit, M.-L., & Sanna-Randaccio, F. (2000) · International Journal of Industrial Organization · doi:10.1016/s0167-7187(98)00028-9 · Cited by 131
Metadata
- Authors
- Horstmann, I., & Markusen, J.
- Venue
- National Bureau of Economic Research
- Publisher
- National Bureau of Economic Research
- Published
- 1990-03
- OpenAlex
- W1598301909
- Cited by
- 288
- References
- 0
- Type
- report
- Language
- en
- Open access
- green
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- CoChat. (2026). Citation check: Endogenous Market Structures in International Trade. https://app.cochat.ai/papers/10.3386/w3283
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- Horstmann, I., & Markusen, J. (1990). Endogenous Market Structures in International Trade. National Bureau of Economic Research. https://doi.org/10.3386/w3283
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
