Indian Journal of Education and Information Management

Open Access Open Access  Restricted Access Subscription Access

Panel Data Analysis of National Accounts of Nigeria: Random Effect Model Approach


Affiliations
1 Pre-ND Program, Federal College of Agriculture Ishiagu, Ebonyi State, Nigeria
2 Department of Statistics/ Maths /Computer, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
3 Abia State Universal Basic Eduction Board, Umuahia, Abia State, Nigeria
 

Random effects model was used in this work to determine the compensation function, the estimator compared with the ordinary least squares (OLS) estimator. The results obtained show that the coefficients of the explanatory variables excluding Indirect taxes are positively related to compensation of employee and that all the coefficients of the explanatory variables except consumption of fixed capital are statistically significant. It also shows that the intercept value and the slope coefficients of the two models are relatively the same.

Keywords

Panel Data, Ordinary Least Squares, Random Effects
User
Notifications

  • Ahmed HY and Sobhi MR (2009) A Comparative Study for Estimation Parameters in Panel Data Model. J. Econom., 1-15.

  • Allison PD (1994) Panel Data to Estimate the Effect of Events. Sociol. Meth. Res. 23, 174-199.

  • Baitagi BH (2008) Econometrics Analysis of Panel Data 4th ed. John Wiley and sons Ltd.

  • Carlson R (1978) Seemingly Unrelated Regression and the Demand for Automobiles of Different Sizes. J. Bus., 51, 243-262.

  • Greene WH (2003) Econometric Analysis, 5th ed. Upper Saddle River, NJ: Prentice Hall.

  • Gujarati DN (2006) Essentials of Econometrics 4th ed. McGraw – Hill, New York.

  • Gujarati DN and Porter DC (2009) Basic Econometrics, 5th ed. McGraw – Hill, New York.

  • Halably C (2004) Panel Models in Sociological Research. Ann. Rev. Sociol. 30, 507-544.

  • Hsiao C (2003) Analysis of Panel Data 2nd ed. Cambridge University Press.

  • Hsiao C, Kamil A and Tahmiscioglu (1997) A Panel Analysis of Liquidity Constraints and Firm Investment. J. Ame. Stats. Assoc., 92, 455-464.

  • Josef B (2005) Panel Data Analysis, University of Mannheim.

  • Lee D and Russell JS (2004) Panel Data Analysis of Factors Affecting As-Built Roughness of Asphaltic Concrete Pavements. J. Transp. Eng. 479-485.

  • National Bureau of Statistics (2007) National Accounts of Federal Republic of Nigeria, 27- 52.

  • Tim L, Oliver M and Osei R (2001) Problems with Pooling in Panel Data Analysis for Developing Countries: The Case of Aid and Trade Relationships.

  • Wooldridge J (2002) Econometric Analysis of Cross Section and Panel Data. MIT Press.


Abstract Views: 269

PDF Views: 0




  • Panel Data Analysis of National Accounts of Nigeria: Random Effect Model Approach

Abstract Views: 269  |  PDF Views: 0

Authors

Okoroafor Ikechukwu Benedict
Pre-ND Program, Federal College of Agriculture Ishiagu, Ebonyi State, Nigeria
J. Nwabueze Chioma
Department of Statistics/ Maths /Computer, Michael Okpara University of Agriculture, Umudike, Abia State, Nigeria
Okoroafor Iyke Florence Eleda
Abia State Universal Basic Eduction Board, Umuahia, Abia State, Nigeria

Abstract


Random effects model was used in this work to determine the compensation function, the estimator compared with the ordinary least squares (OLS) estimator. The results obtained show that the coefficients of the explanatory variables excluding Indirect taxes are positively related to compensation of employee and that all the coefficients of the explanatory variables except consumption of fixed capital are statistically significant. It also shows that the intercept value and the slope coefficients of the two models are relatively the same.

Keywords


Panel Data, Ordinary Least Squares, Random Effects

References