Determinants of Foreign Direct Investment
Детерминанты прямых иностранных инвестиций
2011-01-01
SCID: 54.1/hhgsxru6
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Bayesian model averagingcultural distanceforeign direct investmentgravity variablesregional trade agreements
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Abstract (AI)
Empirical studies of bilateral foreign direct investment (FDI) activity show substantial differences in specifications with little agreement on the set of covariates that are (or should be) included. We use Bayesian statistical techniques that allow one to select from a large set of candidates those variables most likely to be determinants of FDI activity. The variables with consistently high inclusion probabilities are traditional gravity variables, cultural distance factors, parent-country per capita GDP, relative labor endowments, and regional trade agreements. Variables with little support for inclusion are multilateral trade openness, host country business costs, host-country infrastructure (including credit markets), and host-country institutions. Of particular note, our results suggest that many covariates found significant by previous studies are not robust.
Key Findings
1
Bayesian variable-selection techniques identify the covariates most likely to robustly determine bilateral foreign direct investment from a large candidate set.
2
Many covariates reported as significant in previous FDI studies are not robust under Bayesian model selection.
3
Multilateral trade openness, host-country business costs, infrastructure including credit markets, and host-country institutions receive little support as FDI determinants.
4
Traditional gravity variables, cultural-distance factors, parent-country per-capita GDP, relative labor endowments, and regional trade agreements have consistently high inclusion probabilities.
Research Object
Bilateral foreign direct investment (FDI) activity between countries
Research Subject
The determinants and robustness of FDI activity, including the relative importance and inclusion probability of economic, cultural, geographic, trade, and institutional covariates
Publication Details
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2011-01-01
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