Exchange rate regimes and FDI in developing countries: A propensity score matching approach

David Cushman and Glauco De Vita

Journal of International Money and Finance, 2017, vol. 77, issue C, 143-163

Abstract: Theory suggests that regimes of relatively fixed exchange rates encourage inward foreign direct investment (FDI) relative to regimes of more flexible exchange rates. We use propensity score matching (PSM) to investigate the relationship between the exchange rate regimes of 70 developing countries and FDI into such countries using de facto regime classifications. We include a large number of variables in the logit equation that estimates the propensity score, the probability of regime choice. We also use general-to-specific modeling to get alternative, parsimonious versions. Based on four matching procedures, the average treatment effects suggest, with overall modest statistical significance, that relatively fixed de facto regimes do encourage FDI compared with relatively floating regimes. In addition, the estimated effects are sometimes economically large.

Keywords: Foreign direct investment; Exchange rate regime; Developing countries; Propensity score matching (search for similar items in EconPapers)
JEL-codes: C21 E5 F21 F33 O11 (search for similar items in EconPapers)
Date: 2017
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (23)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0261560617301390
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:jimfin:v:77:y:2017:i:c:p:143-163

DOI: 10.1016/j.jimonfin.2017.07.018

Access Statistics for this article

Journal of International Money and Finance is currently edited by J. R. Lothian

More articles in Journal of International Money and Finance from Elsevier
Bibliographic data for series maintained by Catherine Liu ().