Does CPI Granger-Cause WPI? New Extensions from Frequency Domain Approach in Pakistan
The present study significantly contributes to the economic literature by investigating the direction of causality between WPI and CPI by applying frequency domain causality approach developed by Lemmens et al. (2008) based on spectral approach. We use monthly frequency data covering the period of 1961-2010 in case of Pakistan. Our results provide evidence of cointegration between the variables. Furthermore, we find unidirectional causal relationship running from CPI to WPI that varies across frequencies i.e., CPI Granger-causes WPI at lower, medium as well as higher level of frequencies reflecting long-run, medium and short-run cycles. This implies that CPI should be a leading indicator for important policy decisions pertaining to monetary or fiscal policies in Pakistan.
|Date of creation:||07 May 2012|
|Date of revision:||14 May 2012|
|Contact details of provider:|| Postal: Ludwigstraße 33, D-80539 Munich, Germany|
Web page: https://mpra.ub.uni-muenchen.de
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Akdi, Yilmaz & Berument, Hakan & Mümin Cilasun, Seyit, 2006.
"The relationship between different price indices: Evidence from Turkey,"
Physica A: Statistical Mechanics and its Applications,
Elsevier, vol. 360(2), pages 483-492.
- Hakan Berument & Seyit MŸmin Cilasun & Yilmaz Akdi, 2006. "The Relationship Between Different Price Indices : Evidence from Turkey," Working Papers 0603, Department of Economics, Bilkent University.
- Schwert, G William, 2002. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 5-17, January.
- Schwert, G William, 1989. "Tests for Unit Roots: A Monte Carlo Investigation," Journal of Business & Economic Statistics, American Statistical Association, vol. 7(2), pages 147-159, April.
- G. William Schwert, 1988. "Tests For Unit Roots: A Monte Carlo Investigation," NBER Technical Working Papers 0073, National Bureau of Economic Research, Inc.
- Lew Silver, J. & Dudley Wallace, T., 1980. "The lag relationship between wholesale and consumer prices : An application of the Hatanaka-Wallace procedure," Journal of Econometrics, Elsevier, vol. 12(3), pages 375-387, April.
- 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.
- Helmut Lütkepohl, 2006. "Structural vector autoregressive analysis for cointegrated variables," AStA Advances in Statistical Analysis, Springer;German Statistical Society, vol. 90(1), pages 75-88, March.
- Helmut Luetkepohl, 2005. "Structural Vector Autoregressive Analysis for Cointegrated Variables," Economics Working Papers ECO2005/02, European University Institute.
- Tiwari, Aviral Kumar, 2012. "An empirical investigation of causality between producers' price and consumers' price indices in Australia in frequency domain," Economic Modelling, Elsevier, vol. 29(5), pages 1571-1578.
- Toda, Hiro Y. & Yamamoto, Taku, 1995. "Statistical inference in vector autoregressions with possibly integrated processes," Journal of Econometrics, Elsevier, vol. 66(1-2), pages 225-250.
- Engle, Robert & Granger, Clive, 2015. "Co-integration and error correction: Representation, estimation, and testing," Applied Econometrics, Publishing House "SINERGIA PRESS", vol. 39(3), pages 106-135.
- Engle, Robert F & Granger, Clive W J, 1987. "Co-integration and Error Correction: Representation, Estimation, and Testing," Econometrica, Econometric Society, vol. 55(2), pages 251-276, March.
- Engle, Robert F, 1978. "Testing Price Equations for Stability across Spectral Frequency Bands," Econometrica, Econometric Society, vol. 46(4), pages 869-881, July.
- Todd E. Clark, 1995. "Do producer prices lead consumer prices?," Economic Review, Federal Reserve Bank of Kansas City, issue Q III, pages 25-39.
- Stephen G. Cecchetti & Marion Kohler & Christian Upper, 2009. "Financial crises and economic activity," Proceedings - Economic Policy Symposium - Jackson Hole, Federal Reserve Bank of Kansas City, pages 89-135.
- Cecchetti, Stephen G & Kohler, Marion & Upper, Christian, 2009. "Financial Crises and Economic Activity," CEPR Discussion Papers 7495, C.E.P.R. Discussion Papers.
- Stephen G. Cecchetti & Marion Kohler & Christian Upper, 2009. "Financial Crises and Economic Activity," NBER Working Papers 15379, National Bureau of Economic Research, Inc.
- 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.
- Paresh Kumar Narayan, 2005. "The saving and investment nexus for China: evidence from cointegration tests," Applied Economics, Taylor & Francis Journals, vol. 37(17), pages 1979-1990.
- 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.
- 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.
- Jan Kmenta & James B. Ramsey, 1980. "Evaluation of Econometric Models," NBER Books, National Bureau of Economic Research, Inc, number kmen80-1, April.
- Lemmens, Aurélie & Croux, Christophe & Dekimpe, Marnik G., 2008. "Measuring and testing Granger causality over the spectrum: An application to European production expectation surveys," International Journal of Forecasting, Elsevier, vol. 24(3), pages 414-431. Full references (including those not matched with items on IDEAS)