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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.

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Bibliographic Info

Paper provided by University Library of Munich, Germany in its series MPRA Paper with number 8763.

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Date of creation: 14 May 2008
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Handle: RePEc:pra:mprapa:8763

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

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  1. Philip Arestis & Santonu Basu, 2004. "Financial Globalization and Regulation," International Finance 0401003, EconWPA.
  2. Rao, B. Bhaskara & Singh, Rup & Kumar, Saten, 2008. "Do we need time series econometrics?," MPRA Paper 6627, University Library of Munich, Germany.
  3. Levine, Ross, 1996. "Financial development and economic growth : views and agenda," Policy Research Working Paper Series 1678, The World Bank.
  4. Luintel, Kul B & Khan, Mosahid & Arestis, Philip & Theodoridis, Konstantinos, 2008. "Financial Structure and Economic Growth," Cardiff Economics Working Papers E2008/3, Cardiff University, Cardiff Business School, Economics Section.
  5. 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.
  6. Granger, C. W. J., 1988. "Some recent development in a concept of causality," Journal of Econometrics, Elsevier, vol. 39(1-2), pages 199-211.
  7. William Easterly & Ross Levine & David Roodman, 2004. "Aid, Policies, and Growth: Comment," American Economic Review, American Economic Association, vol. 94(3), pages 774-780, June.
  8. Pedroni, Peter, 1999. " Critical Values for Cointegration Tests in Heterogeneous Panels with Multiple Regressors," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 61(0), pages 653-70, Special I.
  9. Peter Pedroni, 2001. "Purchasing Power Parity Tests in Cointegrated Panels," Department of Economics Working Papers 2001-01, Department of Economics, Williams College.
  10. 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.
  11. Ang, James B., 2008. "What are the mechanisms linking financial development and economic growth in Malaysia," Economic Modelling, Elsevier, vol. 25(1), pages 38-53, January.
  12. 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.
  13. Lucas, Robert Jr., 1988. "On the mechanics of economic development," Journal of Monetary Economics, Elsevier, vol. 22(1), pages 3-42, July.
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Cited by:
  1. Kumar, Saten & Pacheco, Gail, 2010. "What Determines the Long run Growth in Kenya?," MPRA Paper 24338, University Library of Munich, Germany.
  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.

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