Outlier, Measurement, and the Democracy-FDI Controversy

Abstract

Choi (2009) offers a useful demonstration that Li and Resnick’s (2003) analysis of the effect of regime type on foreign direct investment (FDI) inflows is vulnerable to the impact of outliers. However, his first remedial method of controlling for outliers with a dummy variable leads to qualitatively the same findings of Li and Resnick. His second remedial method, a robust regression estimator, drops 80 observations and its result on democracy contradicts the finding from median regression. Choi claims that the origin of the outlier problem in Li and Resnick is the inappropriate operationalization of the concept: FDI inflows. Analysts should choose FDI/GDP over net FDI inflows. This research demonstrates how scholars often conflate the two measures conceptually and empirically. Fundamentally, FDI/GDP reflects a country’s openness to or reliance on foreign capital whereas net FDI inflows indicate the amount of investment. Based on FDI/GDP, scholars cannot draw correct inferences about the impact of democracy on the amount of foreign investment. Hence, conclusions in several published studies have to be revised and corrected. One promising solution for outliers in FDI data is to log-transform net FDI inflows. This research has important implications not only for resolving the democracy-FDI controversy but also for studies of other causes of FDI flows. Over the past two decades, most developing countries adapted their development strategies and vigorously pursued foreign direct investment (FDI), recognizing that international production capital brings in various benefits in the forms of capital inflow, technology transfer, managerial know-how, market access, productivity spillover, and economic growth. As many countries compete for foreign capital, the study of the political