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Seasonal adjustment of Indian macroeconomic time-series

Author

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  • Bhattacharya, Rudrani

    () (National Institute of Public Finance and Policy)

  • Pandey, Radhika

    (National Institute of Public Finance and Policy)

  • Patnaik, Ila

    () (National Institute of Public Finance and Policy)

  • Shah, Ajay

    () (National Institute of Public Finance and Policy)

Abstract

Macroeconomic analysis benefits from seasonal adjustment. Month- on-month changes of economic time series yield faster information about developments in the economy, but the values have exaggerated variance when annual seasonality is present. In this paper, we show the full process for seasonal adjustment for four important Indian time-series. We find that significant reductions of variance are obtained by using black box seasonal adjustment, at the risk of failure for some time series. Thorough knowledge about seasonal adjustment yields more reliable answers, and a roughly 15% improvement in the volatility of month-on-month changes.

Suggested Citation

  • Bhattacharya, Rudrani & Pandey, Radhika & Patnaik, Ila & Shah, Ajay, 2016. "Seasonal adjustment of Indian macroeconomic time-series," Working Papers 16/160, National Institute of Public Finance and Policy.
  • Handle: RePEc:npf:wpaper:16/160
    Note: Working Paper 160, 2016
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    File URL: http://www.nipfp.org.in/media/medialibrary/2016/01/WP_2016_160.pdf
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    References listed on IDEAS

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    1. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    2. Canova, Fabio & Hansen, Bruce E, 1995. "Are Seasonal Patterns Constant over Time? A Test for Seasonal Stability," Journal of Business & Economic Statistics, American Statistical Association, vol. 13(3), pages 237-252, July.
    3. Joseph Beaulieu, J. & Miron, Jeffrey A., 1993. "Seasonal unit roots in aggregate U.S. data," Journal of Econometrics, Elsevier, vol. 55(1-2), pages 305-328.
    4. Shruthi Jayaram & Ila Patnaik & Ajay Shah, 2009. "Examining the decoupling hypothesis for India," Trade Working Papers 22972, East Asian Bureau of Economic Research.
    5. Ajay Shah & Ila Patnaik & Rudrani Bhattacharya, 2008. "Early Warnings of Inflation in India," Working Papers id:1682, eSocialSciences.
    6. Giancarlo Bruno & Edoardo Otranto, 2006. "The choice of time interval in seasonal adjustment: A heuristic approach," Statistical Papers, Springer, vol. 47(3), pages 393-417, June.
    7. Bell, William R & Hillmer, Steven C, 1984. "Issues Involved with the Seasonal Adjustment of Economic Time Series," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 291-320, October.
    8. Pami Dua & Anirvan Banerji, 2001. "An Indicator Approach to Business and Growth Rate Cycles: The Case of India," Indian Economic Review, Department of Economics, Delhi School of Economics, vol. 36(1), pages 55-78, January.
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    Cited by:

    1. Pandey, Radhika & Patnaik, Ila & Shah, Ajay, 2018. "Business Cycle Measurement in India," Working Papers 18/221, National Institute of Public Finance and Policy.

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