A Nested logit approach to modelling the location of foreign direct investment in the Central and Eastern European Countries

Abstract

This paper applies the Nested logit model to a three-level dataset in order to examine the factors explaining foreign investment location decisions into 13 Central and Eastern European Countries (CEECs) over an eleven-year period between 1997 and 2007. The three-level dataset allows firm, industry and country factors to simultaneously determine the firm-level investment location decisions. The Nested logit model partially relaxes the assumption of the independence from irrelevant alternatives and tests if national boundaries affect the choice of investment location of multinational enterprises in the CEECs. In addition, the Heteroskedastic Extreme Value model is used to help identify an appropriate nesting structure. Empirical results show that the responsiveness of the firms' decision regarding where to locate capital in the CEECs to country-level variables differs both across sectors and across firms of different sizes and profitability.