IDEAS home Printed from https://ideas.repec.org/a/jda/journl/vol.54year2020issue2pp109-125.html
   My bibliography  Save this article

Does CPI Granger Cause WPI? Empirical Evidence From Threshold Cointegration and Spectral Granger Causality Approach in India

Author

Listed:
  • Lingaraj Mallick
  • Smruti Ranjan Behera
  • Devi Prasad Dash

    (Maulana Azad National Urdu University, India
    Indian Institute of Technology Ropar, India
    Maharashtra Institute of Technology (WPU), India)

Abstract

In this paper, we investigate the short run and long run causal relationship between wholesale price index (WPI) and consumer price index (CPI) in India over the period from 1994 April to 2015 August. Using a linear cointegration and a nonlinear time series model of threshold cointegration with asymmetric error correction model and spectral Granger causality approach, the study attempts to find the linear and nonlinear cointegration relationship between WPI and CPI in India. Empirical results reveal the non-existence of linear cointegration between the WPI and CPI indices in India. Moreover, using consistent threshold autoregressive (C-TAR) and consistent momentum threshold autoregressive (CM-TAR) model, we find the evidence of non-linear cointegration between WPI and CPI in India over the period from 1994 to 2015. The consistent M-TAR model indicates the presence of threshold cointegration between WPI and CPI, which further suggests the consistent inflationary trends after 1995 in India due to rising per capita income and other macroeconomic indicators. Furthermore, results indicate that WPI and CPI are cointegrated with threshold error correction adjustment, and the adjustment towards long-run equilibrium is asymmetric. This further suggests that WPI and CPI respond differently to positive and negative deviations from the long-run equilibrium after the threshold level. Empirical results further indicate that adjustment towards longrun equilibrium tends to persist more for negative deviations and respond more quickly towards positive deviations. The spectral granger causality results do not reveal the causality from WPI to CPI. However, the Granger causality from the asymmetric error correction model reveals the unidirectional causality, which indicates that CPI Granger causes WPI, support the demand-push inflation in India. CPI Granger causes WPI at very low and high frequencies, which takes an average wavelength of more than 3.6 quarters time in a year. Furthermore, empirical results reveal that WPI and CPI reach equilibrium asymmetrically after the threshold level of the two percentages. In sum, results suggest that the Indian policymakers can emphasis on the demand side rather than supply-side inflation to control the level of inflation after the desired threshold level. Moreover, the central bank of India would give importance to control the unwarranted inflationary trend, which has been caused due to the CPI-based demand-side inflation.

Suggested Citation

  • Lingaraj Mallick & Smruti Ranjan Behera & Devi Prasad Dash, 2020. "Does CPI Granger Cause WPI? Empirical Evidence From Threshold Cointegration and Spectral Granger Causality Approach in India," Journal of Developing Areas, Tennessee State University, College of Business, vol. 54(2), pages 109-125, April-Jul.
  • Handle: RePEc:jda:journl:vol.54:year:2020:issue2:pp109-125
    as

    Download full text from publisher

    File URL: https://muse.jhu.edu/article/723899/pdf
    Download Restriction: no
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Rizwan Raheem AHMED & Dalia STREIMIKIENE & Saghir Pervaiz GHAURI & Muhammad AQIL, 2021. "Forecasting Inflation by Using the Sub-Groups of both CPI and WPI: Evidence from Auto Regression (AR) and ARIMA Models," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 144-161, June.
    2. Mallick, Lingaraj & Behera, Smruti Ranjan & Murthy, R.V. Ramana, 2021. "Does the twin deficit hypothesis exist in India? Empirical evidence from an asymmetric non-linear cointegration approach," The Journal of Economic Asymmetries, Elsevier, vol. 24(C).

    More about this item

    Keywords

    CPI; WPI; Asymmetric adjustment; Spectral Granger Causality;
    All these keywords.

    JEL classification:

    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jda:journl:vol.54:year:2020:issue2:pp109-125. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Abu N.M. Wahid (email available below). General contact details of provider: https://edirc.repec.org/data/cbtnsus.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.