This paper uses the Mixed logit (ML) model and a novel three-level dataset to examine the factors explaining 1,108 foreign direct investment (FDI) location decisions into 13 Central and Eastern European countries (CEECs) over an eleven-year period between 1997 and 2007. The ML model approach is...

This paper employs a novel multi-level data set and a multinomial logit model - to examine the factors explaining 1,223 foreign investment location decisions by firms in the EU(15), Japan, Norway, Russia, Switzerland and the US in 12 Central and Eastern European countries (CEECs). The highly...

This paper generalizes the existing empirical literature on the determinants of the location of FDI, using a nested logit (NL) model and a novel three-level dataset to examine the factors explaining 1,108 foreign investment location decisions into 13 Central and Eastern European countries...

This paper applies a meta-regression analysis to systematically summarise, integrate and synthesise the results of empirical studies that include market size and labour costs as determinants of FDI. Random effects panel estimation is employed separately for the sample of primary studies that use...

The heterogeneity of investing firms is an important determinant of the distribution of foreign direct investment (FDI) location decisions. This paper, for the first time, explicitly allows for firms’ heterogeneity by using a latent class discrete choice model and a new multi-level data set to...