RIDGE REGRESSION ANALYSIS ON THE INFLUENTIAL FACTORS OF FDI IN IRAQ

Ali Mohommed Bager (), Bahr Kadhim Mohammed and Meshal Harbi Odah

Proceedings of the INTERNATIONAL MANAGEMENT CONFERENCE, 2017, vol. 11, issue 1, 19-25

Abstract: Foreign direct investment is considered one of the most effective factors in the growth and development of states and an indicator of the economic ability to accommodate developments towards global mechanism and the field of the multi-national companies in the movement of commodities and services. This paper deals with an important topic, studying the obstacles with which foreign direct inflow investment is faced with in Iraq. The study of the obstacles is accompanied by the problem of linear multiplicity, which will be addressed through building a statistical model by using the method of applied Ridge regression. The results of the analysis showed that there are four variables with a clear effect on the FDI, and Ridge regression is the best method to be applied in case of a multicollinearity problem in financial and economic data, which often are associated with each other.

Keywords: foreign direct investment; Ridge regression model; Ridge parameter; multicollinearty problem. (search for similar items in EconPapers)
Date: 2017
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Persistent link: https://EconPapers.repec.org/RePEc:rom:mancon:v:11:y:2017:i:1:p:19-25

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