This paper uses a global vector autoregressive (GVAR) model to analyze the relationship between FDI inflows and output dynamics in a multi-country context. The GVAR model enables us to make two important contributions: First, to model international linkages among a large number of countries, which is a key asset given the diversity of countries involved, and second, to model foreign direct investment and output dynamics jointly. The country-specific small-dimensional vector autoregressive submodels are estimated utilizing a Bayesian version of the model coupled with stochastic search variable selection priors to account for model uncertainty. Using a sample of 15 emerging and advanced economies over the period 1998:Q1 to 2012:Q4, we find that US outbound FDI exerts a positive long-term effect on output. Asian and Latin American economies tend to react faster and also stronger than Western European countries. Forecast error variance decompositions indicate that FDI plays a prominent role in explaining GDP fluctuations, especially in emerging market economies. Our findings provide evidence for policy makers to design macroeconomic policies to attract FDI inflows in the respective countries.
|Seiten (von - bis)||943 - 973|
|Publikationsstatus||Veröffentlicht - 2019|
Österreichische Systematik der Wissenschaftszweige (ÖFOS)
- 101026 Zeitreihenanalyse
- 502025 Ökonometrie
- 502018 Makroökonomie