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If Deficits Are Not the Culprit, What Determines Indian Interest Rates? An Evaluation Using the Maximum Entropy Bootstrap Method

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  • Hrishikesh Vinod
  • Lekha S. Chakraborty
  • Honey Karun

Abstract

This paper challenges two cliches that have dominated the macroeconometric debates in India. One relates to the neoclassical view that deficits are detrimental to growth, as they increase the rate of interest, and in turn displace the interest-rate-sensitive components of private investment. The second relates to the assumption of "stationarity"--which has dominated the statistical inference in time-series econometrics for a long time--as well as the emphasis on unit root–type testing, which involves detrending, or differencing, of the series to achieve stationarity in time-series econometric models. The paper examines the determinants of rates of interest in India for the periods 1980-81 and 2011-12, using the maximum entropy bootstrap (Meboot) methodology proposed in Vinod 1985 and 2004 (and developed extensively in Vinod 2006, Vinod and Lopez-de-Lacalle 2009, and Vinod 2010 and 2013). The practical appeal of Meboot is that it does not necessitate all pretests, such as structural change and unit root–type testing, which involve detrending the series to achieve stationarity, which in turn is problematic for evolutionary short time series. It also solves problems related to situations where stationarity assumptions are difficult to verify--for instance, in mixtures of I(0) and nonstationary I(d) series, where the order of integration can be different for different series. What makes Meboot compelling for Indian data on interest rates? Prior to interest rate deregulation in 1992, studies to analyze the determinants of interest rates were rare in India. Analytical and econometric limitations to dealing with the nonvarying administered rates for a meaningful time-series analysis have been the oft-cited reason. Using high-frequency data, the existing attempts have focused on the recent financially deregulated interest rate regime to establish possible links between interest rates and macroeconomic variables (Chakraborty 2002 and 2012, Dua and Pandit 2002, and Goyal 2004). The results from the Meboot analysis revealed that, contrary to popular belief, the fiscal deficit is not significant for interest rate determination in India. This is in alignment with the existing empirical findings, where it was established that the interest rate is affected by changes in the reserve currency, expected inflation, and volatility in capital flows, but not by the fiscal deficit. This result has significant policy implications for interest rate determination in India, especially since the central bank has cited the high fiscal deficit as one of the prime constraints for flexibility in fixing the rates.

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  • Hrishikesh Vinod & Lekha S. Chakraborty & Honey Karun, 2014. "If Deficits Are Not the Culprit, What Determines Indian Interest Rates? An Evaluation Using the Maximum Entropy Bootstrap Method," Economics Working Paper Archive wp_811, Levy Economics Institute.
  • Handle: RePEc:lev:wrkpap:wp_811
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    References listed on IDEAS

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    1. Correia-Nunes, Jose & Stemitsiotis, Loukas, 1995. "Budget Deficit and Interest Rates: Is There a Link? International Evidence," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 57(4), pages 425-449, November.
    2. Fama, Eugene F., 1990. "Term-structure forecasts of interest rates, inflation and real returns," Journal of Monetary Economics, Elsevier, vol. 25(1), pages 59-76, January.
    3. Mishkin, Frederic S., 1990. "What does the term structure tell us about future inflation?," Journal of Monetary Economics, Elsevier, vol. 25(1), pages 77-95, January.
    4. Yalta, A. Talha, 2011. "Analyzing energy consumption and GDP nexus using maximum entropy bootstrap: The case of Turkey," Energy Economics, Elsevier, vol. 33(3), pages 453-460, May.
    5. Andrew Ang & Geert Bekaert & Min Wei, 2008. "The Term Structure of Real Rates and Expected Inflation," Journal of Finance, American Finance Association, vol. 63(2), pages 797-849, April.
    6. Vinod, Hrishikesh D., 2006. "Maximum entropy ensembles for time series inference in economics," Journal of Asian Economics, Elsevier, vol. 17(6), pages 955-978, December.
    7. Vinod, Hrishikesh D. & Lopez-de-Lacalle, Javier, 2009. "Maximum Entropy Bootstrap for Time Series: The meboot R Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 29(i05).
    8. Dua, Pami & Pandit, B. L., 2002. "Interest rate determination in India: domestic and external factors," Journal of Policy Modeling, Elsevier, vol. 24(9), pages 853-875, December.
    9. Vinod, H. D., 2004. "Ranking mutual funds using unconventional utility theory and stochastic dominance," Journal of Empirical Finance, Elsevier, vol. 11(3), pages 353-377, June.
    10. Thomas J. Sargent, 1969. "Commodity Price Expectations and the Interest Rate," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 83(1), pages 127-140.
    11. Vinod, H D, 1985. "Measurement of Economic Distance between Blacks and Whites," Journal of Business & Economic Statistics, American Statistical Association, vol. 3(1), pages 78-88, January.
    12. Robert Mundell, 1963. "Inflation and Real Interest," Journal of Political Economy, University of Chicago Press, vol. 71, pages 280-280.
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    Cited by:

    1. B M, Lithin & chakraborty, Suman & iyer, Vishwanathan & M N, Nikhil & ledwani, Sanket, 2022. "Modeling asymmetric sovereign bond yield volatility with univariate GARCH models: Evidence from India," MPRA Paper 117067, University Library of Munich, Germany, revised 05 Jan 2023.
    2. Tanweer Akram, 2021. "Multifactor Keynesian Models of the Long-Term Interest Rate," Economics Working Paper Archive wp_991, Levy Economics Institute.
    3. Tanweer Akram & Huiqing Li, 2018. "The Dynamics of Japanese Government Bonds' Nominal Yields," Economics Working Paper Archive wp_906, Levy Economics Institute.
    4. Tanweer Akram & Huiqing Li, 2020. "Some Empirical Models of Japanese Government Bond Yields Using Daily Data," Economics Working Paper Archive wp_962, Levy Economics Institute.
    5. Tanweer Akram, 2021. "A Note Concerning the Dynamics of Government Bond Yields," The American Economist, Sage Publications, vol. 66(2), pages 323-339, October.
    6. Suvra Prokash Mondal & Biswajit Maitra, 2022. "Deficits, Debt and Interest Rates in Sri Lanka: Does the Spillover of Foreign Interest Rates Matter?," Margin: The Journal of Applied Economic Research, National Council of Applied Economic Research, vol. 16(1), pages 28-48, February.
    7. Chakraborty, Lekha S, 2014. "Macroeconomics of “NaMo” Budget 2014 in India," MPRA Paper 67045, University Library of Munich, Germany, revised 2014.

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    More about this item

    Keywords

    Bootstrapping; Fiscal Deficit; Interest Rates; Maximum Entropy; Term Structure;
    All these keywords.

    JEL classification:

    • E63 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Comparative or Joint Analysis of Fiscal and Monetary Policy; Stabilization; Treasury Policy
    • H62 - Public Economics - - National Budget, Deficit, and Debt - - - Deficit; Surplus

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