Foreign Direct Investment and Growth Symbiosis: A Semiparametric System of Simultaneous Equations Analysis
Nadine McCloud (),
Delgado Michael S. () and
Subal Kumbhakar ()
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Delgado Michael S.: Department of Agricultural Economics, Purdue University, West Lafayette, IN 47906-2056, USA, Phone: 765-494-4211, Fax: 765-494-9176
Journal of Econometric Methods, 2018, vol. 7, issue 1, 31
We characterize the types of interactions between foreign direct investment (FDI) and economic growth, and analyze the effect of institutional quality on such interactions. To do this analysis, we develop a class of instrument-based semiparametric system of simultaneous equations estimators for panel data and prove that our estimators are consistent and asymptotically normal. Our new methodological tool suggests that across developed and developing economies, causal, heterogeneous symbiosis and commensalism are the most dominant types of interactions between FDI and economic growth. Higher institutional quality facilitates, impedes or has no effect on the interactions between FDI and economic growth.
Keywords: economic growth; foreign direct investment; institutional quality; instrumental variables; nonparametric method of moments; parameter heterogeneity; semiparametric system of equations model (search for similar items in EconPapers)
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