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A model of growth and finance: FIML estimates for India

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  • Rao, B. Bhaskara
  • Tamazian, Artur

Abstract

Many empirical works addressed the nature of the relationship between economic growth and financial developments. Although these studies concede that they are interdependent, they have used single equations methods for estimation. In particular in the country specific studies the Granger causality tests are applied to equations estimated with the single equations methods to determine whether financial developments cause growth or vice versa. This paper uses the full information maximum likelihood method to estimate a two equations model of growth and finance for India. We also argue that in virtually all these empirical works the specification of the output equation is unsatisfactory. Our results with the Indian data show that there is no evidence to support the view that finance follows where enterprise goes. Furthermore, financial developments have a small but significant permanent growth effect in India.

Suggested Citation

  • Rao, B. Bhaskara & Tamazian, Artur, 2008. "A model of growth and finance: FIML estimates for India," MPRA Paper 8763, University Library of Munich, Germany.
    • Handle: RePEc:pra:mprapa:8763
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    File URL: https://mpra.ub.uni-muenchen.de/8763/1/MPRA_paper_8763.pdf
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    References listed on IDEAS

    as
    1. Ross Levine, 1997. "Financial Development and Economic Growth: Views and Agenda," Journal of Economic Literature, American Economic Association, vol. 35(2), pages 688-726, June.
    2. Rioja, Felix & Valev, Neven, 2004. "Does one size fit all?: a reexamination of the finance and growth relationship," Journal of Development Economics, Elsevier, vol. 74(2), pages 429-447, August.
    3. B. Bhaskara Rao & Rup Singh & Saten Kumar, 2010. "Do we need time series econometrics?," Applied Economics Letters, Taylor & Francis Journals, vol. 17(7), pages 695-697.
    4. Peter Pedroni, 2000. "Fully Modified OLS for Heterogeneous Cointegrated Panels," Department of Economics Working Papers 2000-03, Department of Economics, Williams College.
    5. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
    6. Abhijit V. Banerjee & Shawn Cole & Esther Duflo, 2004. "Banking Reform in India," India Policy Forum, Global Economy and Development Program, The Brookings Institution, vol. 1(1), pages 277-332.
    7. Ang, James B. & McKibbin, Warwick J., 2007. "Financial liberalization, financial sector development and growth: Evidence from Malaysia," Journal of Development Economics, Elsevier, vol. 84(1), pages 215-233, September.
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    13. Peter Pedroni, 2001. "Purchasing Power Parity Tests In Cointegrated Panels," The Review of Economics and Statistics, MIT Press, vol. 83(4), pages 727-731, November.
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    Cited by:

    1. Saten Kumar & Gail Pacheco, 2010. "What Determines the Long run Growth in Kenya?," EERI Research Paper Series EERI_RP_2010_16, Economics and Econometrics Research Institute (EERI), Brussels.
    2. Kumar, Saten & Pacheco, Gail, 2012. "What determines the long run growth rate in Kenya?," Journal of Policy Modeling, Elsevier, vol. 34(5), pages 705-718.

    More about this item

    Keywords

    Steady State Growth Rate; Financial Development; Solow Model; Simultaneous Equation Model and FIML Estimates;

    JEL classification:

    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • O11 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Macroeconomic Analyses of Economic Development
    • O16 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Financial Markets; Saving and Capital Investment; Corporate Finance and Governance
    • E44 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Financial Markets and the Macroeconomy

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