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Growth and Governance Nexus in Selected Asian Countries

Author

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  • Dr. Tariq Hussain

    (Assistant Professor at University of Lahore, Pakpattan Campus, Pakistan.)

Abstract

The aim of this study is to evaluate the primary association among economic growth and governance indicators from 2002 to 2011 in selected 27 Asian countries. World Wide Governance Indicators (2012) are used in the study. Growth and governance are interrelated to demonstrate the economic position of economies. Governance is a strapping source to enhance economic growth especially in developing economies. The governance pattern looks for to increase the efficiency of economies. Principal Component Analysis (PCA) is used to develop governance index. Pooled OLS, 2SLS, 3SLS and GMM techniques are used in the study. The results of techniques show that variable LGV has no significant role in per capita GDP.

Suggested Citation

  • Dr. Tariq Hussain, 2015. "Growth and Governance Nexus in Selected Asian Countries," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 4(4), pages 246-253, December.
    • Handle: RePEc:rfh:bbejor:v:4:y:2015:i:4:p:246-253
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    References listed on IDEAS

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    1. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    2. David Roodman, 2009. "How to do xtabond2: An introduction to difference and system GMM in Stata," Stata Journal, StataCorp LP, vol. 9(1), pages 86-136, March.
    3. Andrews,Donald W. K. & Stock,James H. (ed.), 2005. "Identification and Inference for Econometric Models," Cambridge Books, Cambridge University Press, number 9780521844413, September.
    4. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    5. David Roodman, 2006. "How to Do xtabond2," North American Stata Users' Group Meetings 2006 8, Stata Users Group.
    6. Shalabh, 2006. "Introduction to Linear Models and Statistical Inference," Journal of the Royal Statistical Society Series A, Royal Statistical Society, vol. 169(2), pages 389-390, March.
    7. Dani Rodrik & Tain-Jy Chen, 1998. "TFPG Controversies, Institutions and Economic Performance in East Asia," International Economic Association Series, in: Yujiro Hayami & Masahiko Aoki (ed.), The Institutional Foundations of East Asian Economic Development, chapter 4, pages 79-105, Palgrave Macmillan.
    8. Huther, Jeff & Shah, Anwar, 2000. "Anti-corruption policies and programs : a framework for evaluation," Policy Research Working Paper Series 2501, The World Bank.
    9. Manuel Arellano & Stephen Bond, 1991. "Some Tests of Specification for Panel Data: Monte Carlo Evidence and an Application to Employment Equations," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 58(2), pages 277-297.
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    More about this item

    Keywords

    2SLS; 3SLS; Governance; GMM; Principal Component Analysis;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • G3 - Financial Economics - - Corporate Finance and Governance

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