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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World Bank, Washington, DC
2022
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| 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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okr-10986-368472022-01-21T05:10:36Z FDI and Trade Outcomes at the Industry Level : A Data-Driven Approach Maur, Jean-Christophe Nedeljkovic, Milan von Uexkull, Erik TRADE INVESTMENT EXPORT COMPETITIVENESS DIMENSIONALITY REDUCTION MACHINE LEARNING 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. 2022-01-20T16:00:49Z 2022-01-20T16:00:49Z 2022-01 Working Paper 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 English Policy Research Working Paper;No. 9901 CC BY 3.0 IGO http://creativecommons.org/licenses/by/3.0/igo World Bank World Bank, Washington, DC Publications & Research Publications & Research :: Policy Research Working Paper |
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Digital Repository |
| institution_category |
Foreign Institution |
| institution |
Digital Repositories |
| building |
World Bank Open Knowledge Repository |
| collection |
World Bank |
| language |
English |
| topic |
TRADE INVESTMENT EXPORT COMPETITIVENESS DIMENSIONALITY REDUCTION MACHINE LEARNING |
| spellingShingle |
TRADE INVESTMENT EXPORT COMPETITIVENESS DIMENSIONALITY REDUCTION MACHINE LEARNING Maur, Jean-Christophe Nedeljkovic, Milan von Uexkull, Erik FDI and Trade Outcomes at the Industry Level : A Data-Driven Approach |
| relation |
Policy Research Working Paper;No. 9901 |
| description |
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. |
| format |
Working Paper |
| author |
Maur, Jean-Christophe Nedeljkovic, Milan von Uexkull, Erik |
| author_facet |
Maur, Jean-Christophe Nedeljkovic, Milan von Uexkull, Erik |
| author_sort |
Maur, Jean-Christophe |
| title |
FDI and Trade Outcomes at the Industry Level : A Data-Driven Approach |
| title_short |
FDI and Trade Outcomes at the Industry Level : A Data-Driven Approach |
| title_full |
FDI and Trade Outcomes at the Industry Level : A Data-Driven Approach |
| title_fullStr |
FDI and Trade Outcomes at the Industry Level : A Data-Driven Approach |
| title_full_unstemmed |
FDI and Trade Outcomes at the Industry Level : A Data-Driven Approach |
| title_sort |
fdi and trade outcomes at the industry level : a data-driven approach |
| publisher |
World Bank, Washington, DC |
| publishDate |
2022 |
| url |
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 |
| _version_ |
1764486016389873664 |