# International Journal of Advance Research in Computer Science and Management Studies

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4 Methodology, Model Building and data analysis The time period taken for the study is from 1991 to 2010 because the economic liberalization was initiated in India from 1991 onwards. Multiple regression analysis Method has been used to find out the determinants of FDI in India from the period Regression model is used in which the dependent variable is FDI in India and the independent variables considered in the model are Gross Domestic Product (GDP), Trade Openness, Inflation and Foreign exchange reserves. To Measure Inflation, this researcher has used data on wholesale Price Index (WPI) considering 1993 as base year. To measure Trade openness Total trade has been use as independent variable. All the relevant data are obtained from Handbook of Statistics on Indian Economy (various issues), Reserve Bank of India Bulletin (Various issues of SIA new letters). This researcher has applied Ordinary Least Square (OLS) method of estimation has been used. The natural log transformations for each of these models are fitted and specified. The prime objective of generating natural log transformation regression equations (i.e. log to the base 10) is to determine the degree of sensitivity of the dependent variable to change in the explanatory variables. Model Building FDI= f (GDP, TO, INF, FOREX)...(1) Where, (1) FDI = Foreign Direct Investment Million USD (2) GDP = Gross Domestic Product Million USD (3) TO = Trade Openness Million USD (4) INF = Inflation (WPI) (5) FOREX = Foreign Exchange Reserves Million USD More specifically, the variable to the left-hand side of the equality symbol represents the dependent variable, while those to the right-hand side are referred to technically as explanatory variable. The estimated model is : In FDI = β + β 1 In GDP+ β 2 In TO+ β 3 In WPI+ β 4 In FOREX +U... (2) Table -1 Model Summary b Model R R Square Adjusted R Square Std. Error of the Estimate R Square Change Change Statistics F Change df1 df2 Sig. F Change Durbin- Watson a Table -2 ANOVA a Model Sum of Squares df Mean Square F Sig. Regression b Residual Total Model Unstandardized Coefficients Standardized Coefficients t Sig. B Std. Error Beta (Constant) WPI GDP TO EXRES In this Model, Least Square technique is used for time series data to test the strength and significance of the explanatory variables against the dependent variable. There are 95% relationship between FDI can be explained by four exploratory 2014, IJARCSMS All Rights Reserved ISSN: (Online) 522 P age

6 Abhipsa Vagadia received MBA degree in Marketing Management from NSVKMS Visnagar in , respectively. During , she got Diploma in International Business from Swinburne University, Melbourne, Australia. At Present she is Ph D research scholar in R K University and working as Assistant Professor in Christ Institute of Management, Rajkot. Prof. (Dr.) Sandip P. Solanki, is a Professor in Faculty of Management. He has more than fourteen years of teaching experience in various B-Schools.He is a PhD guide at Gujarat Technological University, RK University and Pacific University. He was nominated as a key note speaker at many International Conference and National conferences. He was also nominated as a chairperson in several International and National conferences.he has carried out various assignments of Gujarat Technological University. He is a life member of Indian Economic Association, Gujarat Economic Association. 2014, IJARCSMS All Rights Reserved ISSN: (Online) 524 P age

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