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Benedict, Okoroafor Ikechukwu
- Estimation of Compensation of Employee Function: Panel Data Analysis of National Accounts of Nigeria
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Authors
Affiliations
1 Department of Statistics, Abia State University, Abia State, NG
2 Pre-ND Program, Federal College of Agriculture,Ishiagu, Ebonyi State, NG
3 ASUBEB, Umuahia, Abia State, NG
1 Department of Statistics, Abia State University, Abia State, NG
2 Pre-ND Program, Federal College of Agriculture,Ishiagu, Ebonyi State, NG
3 ASUBEB, Umuahia, Abia State, NG
Source
Indian Journal of Education and Information Management, Vol 1, No 4 (2012), Pagination: 152-156Abstract
Fixed effect models otherwise known as least squares dummy variable regression model was applied to the study of the compensation of employee function. The estimates were compared with ordinary least squares (OLS) estimator. The evaluation criteria for the estimated models are; R-square, F-ratio and restricted F-test. The results showed that the coefficients of the explanatory variables, excluding indirect taxes positively explained compensation of employee. It also revealed that the coefficients of the explanatory variables excluding consumption of fixed capital play significant role in determining what should be paid as compensation to employee who suffer injuries or loses. The restricted F-test for the estimators showed that compensation function has not changed much across the sectors but that it has changed much more over the years.Keywords
Panel Data, Fixed Effect, Least Square Dummy VariableReferences
- Ahmed HY and Sobhi MR (2009) A Comparative study for estimation parameters in panel data model. J. Economet., 1- 15.
- Baltagi BH (2008) Econometrics Analysis of Panel Data 4th ed. John Wiley and sons Ltd.
- Gujarati DN (2006) Essentials of Econometrics, 3rd ed. McGraw-Hill, New York.
- Gujarati DN and Porter DC (2009) Basic Econometrics, 5th ed. McGraw-Hill, New York.
- Hsiao C (2003) Analysis of Panel Data 2nd ed. Cambridge University Press.
- Hsiao C and Kamil AT (1997) A Panel Analysis of Liquidity Constraints and Firm Investment. J. Am. Stat. Assoc., 92, 455-464.
- 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.
- Treisman D. (2000) The Causes of Corruption: A Crossnational Study, J. Pub. Econom., 76, 399 -457.
- Panel Data Analysis of National Accounts of Nigeria: Random Effect Model Approach
Abstract Views :263 |
PDF Views:0
Authors
Affiliations
1 Pre-ND Program, Federal College of Agriculture Ishiagu, Ebonyi State, NG
2 Department of Statistics/ Maths /Computer, Michael Okpara University of Agriculture, Umudike, Abia State, NG
3 Abia State Universal Basic Eduction Board, Umuahia, Abia State, NG
1 Pre-ND Program, Federal College of Agriculture Ishiagu, Ebonyi State, NG
2 Department of Statistics/ Maths /Computer, Michael Okpara University of Agriculture, Umudike, Abia State, NG
3 Abia State Universal Basic Eduction Board, Umuahia, Abia State, NG
Source
Indian Journal of Education and Information Management, Vol 1, No 4 (2012), Pagination: 170-173Abstract
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 EffectsReferences
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- 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.