FDI and Trade Outcomes at the Industry Level : A Data-Driven Approach

This paper proposes a novel empirical methodology to reveal factors associated with foreign direct investment decisions and export success at the industry level. Faced with large amounts of policy and economic indicators, as well as significant pro...

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Bibliographic Details
Main Authors: Maur, Jean-Christophe, Nedeljkovic, Milan, von Uexkull, Erik
Language:English
Published: World Bank, Washington, DC 2022
Subjects:
Online Access:http://documents.worldbank.org/curated/undefined/310711642106825113/FDI-and-Trade-Outcomes-at-the-Industry-Level-A-Data-Driven-Approach
http://hdl.handle.net/10986/36847
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Summary:This paper proposes a novel empirical methodology to reveal factors associated with foreign direct investment decisions and export success at the industry level. Faced with large amounts of policy and economic indicators, as well as significant product and sectoral diversity, the motivation of this research is twofold. First, it selects among the vast number of indicators and potential factors relevant to investment and trade outcomes a manageable subset of variables that can usefully guide the understanding of investment and trade outcomes. Second, it provides robust estimates of how these variables affect the probability at the margin of investment and trade outcomes at the sector level. Finally, the paper uses these estimates to produce new metrics (“scores”) of trade and investment climate performance at the country and sectoral levels.