Journal of Indian School of Political Economy

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Are Prices Countercyclical? Evidence from India


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1 Mumbai School of Economics & Public Policy (Autonomous), University of Mumbai, India
     

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This paper tries to document the stylised facts of the business cycle relating to prices (WPI Core & WPI) & inflation with respect to output for India from April 2005 to October 2016 using various univariate trend-cycle decomposition techniques. Both prices (WPI Core&WPI)&inflation are countercyclical with respect to output. In addition, using static cross-correlations we observe that prices (WPI Core & WPI) lead output by one month & inflation leads output by two months. Further, we apply Granger causality in the frequency domain and obtain a unidirectional causal relationship from WPI Core to output in the medium run (3 months to 12 months) to the long run (beyond 12 months). We also obtain a bidirectional causality between WPI & output as well as inflation & output in the medium run to the long run.

Keywords

Business Cycles, Detrending, Price, Inflation.
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  • Agénor, P. R., C. J. McDermott, & E. S. Prasad, 2000; Macroeconomic fluctuations in developing countries: some stylised facts, The World Bank Economic Review, Vol. 14, No. 2.

  • Apergis, N., 1996; The Cyclical Behavior of Prices: Evidence from Seven Developing Countries, The Developing Economies, Vol. 34, No. 2.

  • Backus, D. K., & P. J. Kehoe, 1992; International evidence on the historical properties of business cycles, The American Economic Review.

  • Baxter, M., & R. G. King, 1999; Measuring business cycles: approximate band-pass filters for economic time series, The Review of Economics and Statistics, Vol. 81, No. 4.

  • Beaulieu, J. J., & J. A. Miron, 1993; Seasonal unit ischolar_mains in aggregateUS data, Journal of econometrics, Vol. 55, Nos. 1-2.

  • Beveridge, S., & C. R. Nelson, 1981; A new approach to decomposition of economic time series into permanent and transitory components with particular attention to measurement of the ‘business cycle’, Journal of Monetary Economics, Vol. 7, No. 2.

  • Bjørnland, H. C., 2000; Detrending methods and stylised facts of business cycles in Norway-an international comparison, Empirical Economics, Vol. 25, No. 3.

  • Blanchard, O. J., & D. Quah, 1989; The dynamic effects of aggregate demand and supply disturbances, The American Economic Review, Vol. 79, No. 4.

  • Burns, A. F., & W. C. Mitchell, 1946; Measuring Business Cycles. NBER Books.

  • Burnside, C., 1998; Detrending and business cycle facts: A comment, Journal of Monetary Economics, Vol. 41, No.

  • Canova, F., 1998; Detrending and business cycle facts, Journal of monetary economics, Vol. 41, No. 3.

  • Chadha, B., & E. Prasad, 1993; Interpreting the cyclical behavior of prices, Staff Papers, Vol. 40, No. 2.

  • Chadha, B., & E. Prasad, 1994; Are prices countercyclical? Evidence from the G-7, Journal of Monetary Economics, Vol. 34, 2.

  • Chatfield, C., 2016; The analysis of time series: An Introduction, CRC press.

  • Christiano, L.J., &T.J. Fitzgerald, 2003; The band pass filter, International Economic Review, Vol. 44, No. 2.

  • Cooley, T.F., &L.E. Ohanian, 1991; The cyclical behavior of prices, Journal of Monetary Economics, Vol. 28, No. 1.

  • Enders, W., 1995; Applied econometric time series analysis.

  • Friedman, M., & A.J. Schwartz, 1982; The role of money, In Monetary Trends in the United States and United Kingdom: Their Relation to Income, Prices, and Interest Rates, 1867-1975. University of Chicago Press.

  • Ghate, C., R. Pandey,& I. Patnaik, 2013; Has India emerged? Business cycle stylised facts from a transitioning economy, Structural Change and Economic Dynamics, Vol. 24.

  • Gonzalez-Astudillo, M., & J.M. Roberts, 2016; When Can Trend-Cycle Decompositions Be Trusted?. Finance and Economics Discussion Series 2016-099. Washington: Board of Governors of the Federal Reserve System. Retrieved from the following website: https://doi.org/10.17016/FEDS.2016.099.

  • Granger, C.W., 1969; Investigating causal relations by econometric models and cross-spectral methods, Econometrica: Journal of the Econometric Society.

  • Hamilton, J.D., 1994; Time series analysis, (Vol. 2). Princeton: Princeton University Press.

  • Hamilton, J.D., 2017; Why you should never use the Hodrick-Prescott filter, (No. w23429). National Bureau of Economic Research.

  • Hylleberg, S., R.F., Engle, C.W., Granger,&B.S. Yoo, 1990; Seasonal integration and cointegration, Journal of Econometrics, Vol. 44, No. 1.

  • Issever Grochová, L., & P. Rozmahel, 2015; On the Ideality of Filtering Techniques in the Business Cycle Analysis Under Conditions of European Economy, Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Vol. 63, No. 3.

  • Kim, Y.W., 1996; Are prices countercyclical? Evidence from East Asian countries, Federal Reserve Bank of St. Louis Review, Vol. 78, September/October.

  • King, R.G.,&S.T. Rebelo, 1993;Low frequency filtering and real business cycles, Journal of Economic Dynamics and Control, Vol. 17, Nos. 1-2.

  • Kydland, F.E., & E.C. Prescott, 1990; Business cycles: Real facts and a Monetary Myth, Quarterly Review, (Federal Bank of Minneapolis).

  • Lemmens, A., C. Croux, & M.G. Dekimpe, 2008; Measuring and testing Granger causality over the spectrum: An application to European production expectation surveys, International Journal of Forecasting, Vol. 24, No. 3.

  • Li, X., 2015; The cyclical behavior of prices and inflation (Doctoral dissertation, University of Missouri-Columbia).

  • Lucas, R.E., 1977; Understanding business cycles, In Carnegie-Rochester conference series on public policy, Vol. 5, North-Holland.

  • Mankiw, N.G., 1989; Real business cycles: Anew Keynesian perspective, The Journal of Economic Perspectives, Vol. 3, No. 3.

  • Olson, M., 1989; A microeconomic approach to macroeconomic policy, The American Economic Review, Vol. 79, No. 2.

  • Pakko, M.R., 2000; The cyclical relationship between output and prices: An analysis in the frequency domain, Journal of Money, Credit and Banking.

  • Pierce, D.A., 1979; R-Squared measures for time series, Journal of the American Statistical Association, Vol. 74, No. 368.

  • Ravn, M.O., & H. Uhlig, 2002; On adjusting the HodrickPrescott filter for the frequency of observations, The review of economics and statistics, Vol. Vol. 84, No. 2.

  • RBI, 2002; Report of the Working Group on the Economic Indicators, Mumbai: Reserve Bank of India.

  • RBI, 2006; Report of Technical Advisory Group on Development of Leading Economic Indicators for Indian Economy, Mumbai: Reserve Bank of India.

  • Sims, C.A., 1972; Money, income, and causality, The American economic review, Vol. 62,No. 4.

  • Smith, R.T., 1992; The cyclical behavior of prices, Journal of Money, Credit and Banking, Vol. 24, No. 4.


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  • Are Prices Countercyclical? Evidence from India

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Authors

Mayank Gupta
Mumbai School of Economics & Public Policy (Autonomous), University of Mumbai, India

Abstract


This paper tries to document the stylised facts of the business cycle relating to prices (WPI Core & WPI) & inflation with respect to output for India from April 2005 to October 2016 using various univariate trend-cycle decomposition techniques. Both prices (WPI Core&WPI)&inflation are countercyclical with respect to output. In addition, using static cross-correlations we observe that prices (WPI Core & WPI) lead output by one month & inflation leads output by two months. Further, we apply Granger causality in the frequency domain and obtain a unidirectional causal relationship from WPI Core to output in the medium run (3 months to 12 months) to the long run (beyond 12 months). We also obtain a bidirectional causality between WPI & output as well as inflation & output in the medium run to the long run.

Keywords


Business Cycles, Detrending, Price, Inflation.

References