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Testing of the Seasonal Unit Root Hypothesis in the Price Indices of Agricultural Commodities in India

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  • Aviral Kumar Tiwari

    (Dept. of Economics, IBS, Hyderabad, IFHE University, Hyderabad)

  • Subhendu Dutta

    (Dept. of Economics, IBS, Hyderabad, IFHE University, Hyderabad)

  • Aruna Kumar Dash

    (Dept. of Economics, IBS, Hyderabad, IFHE University, Hyderabad)

Abstract

The study analyzed the persistence of shocks to the seasonal time series of the price indices of selected agricultural commodities in India. The seasonal unit root test procedure proposed by Hylleberg et al. (1990) and Beaulieu and Miron (1992) were used for 10 major price indices of agricultural commodities. The study covered the period January 2000 to January 2013. Overall results provide significant and robust evidence rejecting the presence of unit roots at all seasonal frequencies for cereals; condiments and spices; eggs, meat, and fish; pulses; and vegetables. For the rest of the commodities studied, evidence indicates that the seasonality present is partly deterministic and partly stationary stochastic. These findings have important policy implications for policymakers and research analysts.

Suggested Citation

  • Aviral Kumar Tiwari & Subhendu Dutta & Aruna Kumar Dash, 2017. "Testing of the Seasonal Unit Root Hypothesis in the Price Indices of Agricultural Commodities in India," Asian Journal of Agriculture and Development, Southeast Asian Regional Center for Graduate Study and Research in Agriculture (SEARCA), vol. 14(2), pages 63-81, December.
  • Handle: RePEc:sag:seajad:v:14:y:2017:i:2:p:63-81
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    1. Markku Lanne & Helmut Lütkepohl & Pentti Saikkonen, 2003. "Test Procedures for Unit Roots in Time Series with Level Shifts at Unknown Time," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 65(1), pages 91-115, February.
    2. 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.
    3. Saikkonen, Pentti & Lütkepohl, Helmut, 2002. "Testing For A Unit Root In A Time Series With A Level Shift At Unknown Time," Econometric Theory, Cambridge University Press, vol. 18(2), pages 313-348, April.
    4. 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.
    5. Robert Faff & Howard Chan, 1998. "A multifactor model of gold industry stock returns: evidence from the Australian equity market," Applied Financial Economics, Taylor & Francis Journals, vol. 8(1), pages 21-28.
    6. Shi-Miin Liu & Chih-Hsien Chou, 2003. "Parities and Spread Trading in Gold and Silver Markets: A Fractional Cointegration Analysis," Applied Financial Economics, Taylor & Francis Journals, vol. 13(12), pages 899-911.
    7. Markku Lanne & Helmut Lütkepohl & Pentti Saikkonen, 2002. "Comparison of unit root tests for time series with level shifts," Journal of Time Series Analysis, Wiley Blackwell, vol. 23(6), pages 667-685, November.
    8. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," Working Papers 127145, Cornell University, Department of Applied Economics and Management.
    9. Lütkepohl, Helmut & Wolters, Jürgen, 2003. "Transmission Of German Monetary Policy In The Pre-Euro Period," Macroeconomic Dynamics, Cambridge University Press, vol. 7(5), pages 711-733, November.
    10. Graham Smith, 2002. "Tests of the random walk hypothesis for London gold prices," Applied Economics Letters, Taylor & Francis Journals, vol. 9(10), pages 671-674.
    11. Franses, P. H., 1990. "Testing For Seasonal Unit Roots In Monthly Data," Econometric Institute Archives 272393, Erasmus University Rotterdam.
    12. Gregory, Allan W. & Hansen, Bruce E., 1996. "Residual-based tests for cointegration in models with regime shifts," Journal of Econometrics, Elsevier, vol. 70(1), pages 99-126, January.
    13. William O. Tomek, 1994. "Dependence in commodity prices: A comment," Journal of Futures Markets, John Wiley & Sons, Ltd., vol. 14(1), pages 103-109, February.
    14. Mahdavi, Saeid & Zhou, Su, 1997. "Gold and commodity prices as leading indicators of inflation: Tests of long-run relationship and predictive performance," Journal of Economics and Business, Elsevier, vol. 49(5), pages 475-489.
    15. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," 2004 Annual meeting, August 1-4, Denver, CO 20141, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
    16. Capie, Forrest & Mills, Terence C. & Wood, Geoffrey, 2005. "Gold as a hedge against the dollar," Journal of International Financial Markets, Institutions and Money, Elsevier, vol. 15(4), pages 343-352, October.
    17. Philip Hans Franses & Bart Hobijn, 1997. "Critical values for unit root tests in seasonal time series," Journal of Applied Statistics, Taylor & Francis Journals, vol. 24(1), pages 25-48.
    18. Wang, Dabin & Tomek, William G., 2004. "Commodity Prices And Unit Root Tests," 2004 Conference, April 19-20, 2004, St. Louis, Missouri 19032, NCR-134 Conference on Applied Commodity Price Analysis, Forecasting, and Market Risk Management.
    19. Adusei Jumah & Robert M. Kunst, 2008. "Seasonal prediction of European cereal prices: good forecasts using bad models?," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 27(5), pages 391-406.
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    More about this item

    Keywords

    agricultural price indices; shocks; seasonality;
    All these keywords.

    JEL classification:

    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • Q18 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Policy; Food Policy; Animal Welfare Policy

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