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Modelling Seasonal Dynamics in Indian Industrial Production--An Extention of TV-STAR Model

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  • Pami Dua

    (Department of Economics, Delhi School of Economics, Delhi, India)

  • Lokendra Kumawat

    (Department of Economics, Ramjas College,University of Delhi, Delhi)

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Abstract

This paper models the seasonal dynamics in quarterly industrial production for India. For this, we extend the time-varying smooth transition autoregression (TV-STAR) model to allow for independent regime-switching behaviour in the deterministic seasonal and cyclical components. This yields the time-varying seasonal smooth transition (TV-SEASTAR) model. We find evidence of the effect of rainfall growth on seasonal dynamics of industrial production. We also find that the seasonal dynamics have changed over the past decade, one aspect of this being the significant narrowing down of seasonals. The timing of these changes coincides with the changes in the character of the economy as it progressed towards a free-market economy in the post liberalization period.

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Bibliographic Info

Paper provided by Centre for Development Economics, Delhi School of Economics in its series Working papers with number 162.

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Length: 23 pages
Date of creation: Aug 2007
Date of revision:
Handle: RePEc:cde:cdewps:162

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Keywords: Seasonality; Smooth transition autoregression; Economic reforms.;

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  1. Pami Dua & Lokendra Kumawat, 2010. "Modelling and Forecasting Seasonality in Indian Macroeconomic Time Series," Working Papers id:3005, eSocialSciences.
  2. D R Osborn & A Matas-Mir, 2001. "Does Seasonality Change over the Business Cycle? An Investigation using Monthly Industrial Production Series," Centre for Growth and Business Cycle Research Discussion Paper Series 09, Economics, The Univeristy of Manchester.
  3. J. Joseph Beaulieu & Jeffrey A. Miron, 1990. "A Cross Country Comparison of Seasonal Cycles and Business Cycles," NBER Working Papers 3459, National Bureau of Economic Research, Inc.
  4. Kanwar, Sunil, 2000. "Does the Dog Wag the Tail or the Tail the Dog? Cointegration of Indian Agriculture with Nonagriculture," Journal of Policy Modeling, Elsevier, vol. 22(5), pages 533-556, September.
  5. Terasvirta, T & Anderson, H M, 1992. "Characterizing Nonlinearities in Business Cycles Using Smooth Transition Autoregressive Models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 7(S), pages S119-36, Suppl. De.
  6. Cecchetti, Stephen G & Kashyap, Anil K & Wilcox, David W, 1997. "Interactions between the Seasonal and Business Cycles in Production and Inventories," American Economic Review, American Economic Association, vol. 87(5), pages 884-92, December.
  7. Eitrheim, Øyvind & Teräsvirta, Timo, 1995. "Testing the Adequacy of Smooth Transition Autoregressive Models," Working Paper Series in Economics and Finance 56, Stockholm School of Economics.
  8. Franses, Ph.H.B.F. & de Bruin, P. & van Dijk, D.J.C., 2000. "Seasonal smooth transition autoregression," Econometric Institute Research Papers EI 2000-06/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
  9. Stephen G. Cecchetti & Anil K Kashyap, 1995. "International Cycles," NBER Working Papers 5310, National Bureau of Economic Research, Inc.
  10. Pami Dua & Anirvan Banerji, 2012. "Business And Growth Rate Cycles In India," Working papers 210, Centre for Development Economics, Delhi School of Economics.
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