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Modelling the Relationship between Whole Sale Price and Consumer Price Indices: Cointegration and Causality Analysis for India

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Author Info

  • Aviral Kumar Tiwari

    (Aviral Kumar Tiwari is Research scholar and Faculty of Applied Economics, Faculty of Management, ICFAI University, Tripura. E-mail: aviral.eco@gmail.com)

  • Muhammad Shahbaz

    (Muhammad Shahbaz is with the Department of Management Sciences, COMSATS Institute of Information Technology, Lahore, Pakistan. E-mail: shahbazmohd@live.com)

Abstract

The study attempts to analyze the static and dynamic causality between producers’ prices measured by wholesale price index (WPI) and consumers’ prices measured by consumers’ price index (CPI) in case of India. In doing so, we have applied the autoregressive distributed lag (ARDL) bounds testing approach to co-integration and robustness of the ARDL approach which is examined by Johansen and Juselius’ (1990) maximum likelihood approach over the time period of 1950–2009. We found bidirectional causality between producers’ and consumers’ prices in Indian economy. Variance decomposition (VD) forecast analysis reveals that in India, producers’ prices lead consumers’ prices. This implies that WPI is determined by market forces and also a leading indicator of consumers’ prices and inflation. This gives an indication to the Indian policy analysts to control for factors affecting WPI in order to have control on CPI since CPI is used for indexation purposes for many wage and salary earners including government employees and hence it will be helpful in cutting down the excess government expenditure.

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Bibliographic Info

Article provided by International Management Institute in its journal Global Business Review.

Volume (Year): 14 (2013)
Issue (Month): 3 (September)
Pages: 397-411

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Handle: RePEc:sae:globus:v:14:y:2013:i:3:p:397-411

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Web page: http://www.imi.edu/

Related research

Keywords: CPI and WPI; Granger causality; cointegration VDs; IRFs;

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  1. Dickey, David A & Fuller, Wayne A, 1981. "Likelihood Ratio Statistics for Autoregressive Time Series with a Unit Root," Econometrica, Econometric Society, vol. 49(4), pages 1057-72, June.
  2. Muhammad Shahbaz & Abu N. M. Wahid & Adnan Haider, 2010. "Empirical Psychology Between Wholesale Price And Consumer Price Indices: The Case Of Pakistan," The Singapore Economic Review (SER), World Scientific Publishing Co. Pte. Ltd., vol. 55(03), pages 537-551.
  3. Guglielmo Maria Caporale & Margarita Katsimi & Nikitas Pittis, 2002. "Causality Links between Consumer and Producer Prices: Some Empirical Evidence," Southern Economic Journal, Southern Economic Association, vol. 68(3), pages 703-711, January.
  4. Johansen, Soren, 1992. "Determination of Cointegration Rank in the Presence of a Linear Trend," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 54(3), pages 383-97, August.
  5. Todd E. Clark, 1995. "Do producer prices lead consumer prices?," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 25-39.
  6. Serena Ng & Pierre Perron, 2001. "LAG Length Selection and the Construction of Unit Root Tests with Good Size and Power," Econometrica, Econometric Society, vol. 69(6), pages 1519-1554, November.
  7. Graham Elliott & Thomas J. Rothenberg & James H. Stock, 1992. "Efficient Tests for an Autoregressive Unit Root," NBER Technical Working Papers 0130, National Bureau of Economic Research, Inc.
  8. Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-76, March.
  9. José Julián Sidaoui & Carlos Capistrán & Daniel Chiquiar & Manuel Ramos Francia, 2009. "A Note on the Predictive Content of PPI over CPI Inflation: The Case of Mexico," Working Papers 2009-14, Banco de México.
  10. Colclough, William G. & Lange, Mark D., 1982. "Empirical evidence of causality from consumer to wholesale prices," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 379-384, August.
  11. PareshKumar Narayan, 2004. "Are Output Fluctuations Transitory? New Evidence From 24 Chinese Provinces," Pacific Economic Review, Wiley Blackwell, vol. 9(4), pages 327-336, December.
  12. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-80, November.
  13. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
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