International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

Archives

TuEngr+Logo
:: International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies

http://TuEngr.com



ISSN 2228-9860
eISSN 1906-9642
CODEN: ITJEA8


FEATURE PEER-REVIEWED ARTICLE

Vol.13(4)(2022)

  • A Specialized Empirical Bayes Single Regression Coefficient Estimation Procedure for Panel Data Linear Regression Models

    Khan Bahadar (School of Economics, International Islamic University Islamabad, PAKISTAN)
    Eatzaz Ahmed (School of Economics, Quaid-i-Azam University Islamabad., PAKISTAN)
    Shahid Akbar (Department of Economics, University of Swabi, PAKISTAN)

    Disciplinary: Econometrics, Economics.

    ➤ FullText

    doi: 10.14456/ITJEMAST.2022.70

    Keywords: Empirical Bayes; Prior Mean; Prior Variance; Zellner's g-priors; Prior Precision; Keynesian consumption function.

    Abstract
    In this article, a specialized empirical Bayes estimator for the panel data model is applied to real-world data. This estimator is suitable for all the standard classical panel data models. In this study, the simple linear regression model with orthogonal regressors has been used, and the coefficients for the ith unit of the panel have been estimated individually and independently, that is, the intercepts and the slopes coefficients for each unit of the panel are estimated as scalar quantities rather than a vector of both. The estimator used here is, "the precision weighted arithmetic mean of the ordinary least squares coefficient estimates of the kth regressor across all the units of the panel as the estimate of the prior mean and the Zellner's g-prior is used as the estimate of the prior variance and the resultant prior precision". By taking different values by the prior precision parameter, it has the potential to produce all the standard frequentist panel data linear regression model estimators. The estimate of the prior precision parameter is obtained from the data corresponding to all units of the panel therefore, it is considered to be the most reliable.

    Paper ID: 13A4G

    Cite this article:

    Bahadar, K., Ahmed, E., and Akbar, S. (2022). A Specialized Empirical Bayes Single Regression Coefficient Estimation Procedure for Panel Data Linear Regression Models. International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies, 13(3), 13A4G, 1-12. http://TUENGR.COM/V13/13A4G.pdf DOI: 10.14456/ITJEMAST.2022.70

References

  1. Arellano, M. (2003). Panel Data Econometrics. Oxford University Press.
  2. Carrington, W. J., and Zaman, A. (1994). Interindustry Variation in the Costs of Job Displacement. Journal of Labor Economics, 12(2), 243-275.
  3. Chang, I. L., Swamy, P. A. V. B., Hallahan, C., and Tavlas, G. S. (2000). A computational approach to finding causal economic laws. Computational Economics, 16(1), 105-136.
  4. Clark, T. S., and Linzer, D. A. (2015). Should I Use Fixed or Random Effects? Political Science Research and Methods, 3(2), 399-408.
  5. Greene, W. H. (2003). Econometric Analysis. Pearson Education India.
  6. Gujarati, D. (2003). Basic Econometrics. Fourth Ed., McGraw-Hill.
  7. Hausman, J. A. (1978). Specification Tests in Econometrics. Econometrica: Journal of the Econometric Society, 1251-1271.
  8. Hsiao, C. (2007). Panel Data Analysis-Advantages and Challenges. Test, 16(1), 1-22.
  9. Zaman, A. (1996). Statistical Foundations for Econometric Techniques. Academic Press.
  10. Zellner, A. (1971). An Introduction to Bayesian Inference in Econometrics. Wiley & Sons, New York.


Other issues:
Vol.13(3)(2022)
Vol.13(2)(2022)
Vol.13(1)(2022)
Archives




Call-for-Papers

Call-for-Scientific Papers
Call-for-Research Papers:
ITJEMAST invites you to submit high quality papers for full peer-review and possible publication in areas pertaining engineering, science, management and technology, especially interdisciplinary/cross-disciplinary/multidisciplinary subjects.

To publish your work in the next available issue, your manuscripts together with copyright transfer document signed by all authors can be submitted via email to Editor @ TuEngr.com (no space between). (please see all detail from Instructions for Authors)


Publication and peer-reviewed process:
After the peer-review process (4-10 weeks), articles will be on-line published in the available next issue. However, the International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies cannot guarantee the exact publication time as the process may take longer time, subject to peer-review approval and adjustment of the submitted articles.