Khundrakpam, Jeevan Kumar and George, Asish Thomas (2012): An Empirical Analysis of the Relationship between WPI and PMI-Manufacturing Price Indices in India. Published in: RBI WORKING PAPER SERIES , Vol. 2013, No. W P S (DEPR): 06 (July 2013): pp. 1-17.
Preview |
PDF
MPRA_paper_50929.pdf Download (599kB) | Preview |
Abstract
Manufacturing Purchasing Managers Index (PMI) has been increasingly used by various central banks for assessing the direction and strength of economic activity. One of the sub-indices or component level information provided by PMI is that of industrial input and output prices trends as surveyed by firms’ purchasing managers. In this context, the paper tries to examine whether these PMI manufacturer’s price diffusion indices serve as a useful indicator for understanding changes in WPI in India. The analysis was carried out using both OLS estimates and ARDL approach to cointegration for the period April 2005 to October 2012. It is found that both the PMI price indices are good indicators and have significant predictive power of the changes in WPI–All commodities and WPI–Non-food manufactured products.
Item Type: | MPRA Paper |
---|---|
Original Title: | An Empirical Analysis of the Relationship between WPI and PMI-Manufacturing Price Indices in India |
English Title: | An Empirical Analysis of the Relationship between WPI and PMI-Manufacturing Price Indices in India |
Language: | English |
Keywords: | PMI, WPI, ARDL, price, forecasting |
Subjects: | C - Mathematical and Quantitative Methods > C2 - Single Equation Models ; Single Variables > C22 - Time-Series Models ; Dynamic Quantile Regressions ; Dynamic Treatment Effect Models ; Diffusion Processes E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E37 - Forecasting and Simulation: Models and Applications |
Item ID: | 50929 |
Depositing User: | Jeevan Kumar Khundrakpam |
Date Deposited: | 28 Oct 2013 12:41 |
Last Modified: | 26 Sep 2019 23:30 |
References: | Banerjee, A., and Marcellino, M. (2006), “Are There Any Reliable Leading Indicators for the US Inflation and GDP Growth?”, International Journal of Forecasting, 22, 137-151. Dasgupta, S. and Lahiri, K. (1993), “On the Use of Dispersion Measures from NAPM Surveys in Business Cycle Forecasting”, Journal of Forecasting, 12(3-4), 239-251. Harris, Ethan S. (1991), “Tracking the Economy with the Purchasing Managers’ Index,” Federal Reserve Bank of New York Quarterly Review, 16 (Autumn), 61–69. Lahiri, K. and Monokroussos, G. (2012), “Nowcasting US GDP: The Role of ISM Business Surveys”, International Journal of Forecasting,http://dx.doi.org/10.1016/j.ijforecast.2012.11.002. Lindsey, M.D., and Pavur, R. (2005), “As The PMI Turns: A Tool for Supply Chain Managers”, The Journal of Supply Chain Management, 41(3), 30-39. Khundrakpam J.K. and Rajiv Ranjan (2010), “Saving-Investment Nexus and International Capital Mobility in India: Revisiting Feldstein-Horioka Hypothesis”, Indian Economic Review, Vol. XXXXV, No. 1, 49-66. Khundrakpam J.K. and Sitikantha Pattanaik (2010), “Fiscal Stimulus and Potential Inflationary Risks: An Empirical Assessment of Fiscal and Inflation Relationship in India”, Journal of Economic Integration, Vol. 25(4), 703-721. Klein, P.A., and Moore, G.H. (1991), “Purchasing Management Survey Data: Their Value as Leading Indicators”, in K. Lahiri, and G.H. Moore (eds.), Leading Economic Indicators: New Approach and Forecasting Records, (pp. 403-428), Cambridge University Press. Koenig, Evan F. (2002), “Using the Purchasing Managers’ Index to Assess the Economy’s Strength and the Likely Direction of Monetary Policy”, Economic and Financial Policy Review, Federal Reserve Bank of Dallas, 1(6), 1-14. Pesaran, M. H., and Shin, Y. (1999), “An Autoregressive Distributed Lag Modeling Approach to Cointegration Analysis” in Storm, S. (ed) Econometrics and Economic Theory in the 20th Century-the Ragnar Frisch Centennial Symposium, Cambridge: Cambridge University Press. Pesaran, M.H., Shin, Y., Smith R.J. (2001), “Bound Testing Approaches to the Analysis of Level Relationships”, Journal of Applied Econometrics, 16, 289-326. Pesaran, M. H., and Pesaran, B. (2009), Time Series Econometrics: Using Microfit 5.0, Oxford: Oxford University Press. Wright, Jonathan H. (2009), “Forecasting US Inflation by Bayesian Model Averaging”, Journal of Forecasting, 28, 131-144. Yoichi Tsuchiya, (2012), “Is the Purchasing Managers’ Index Useful for Assessing the Economy’s Strength? A Directional Analysis”, Economics Bulletin, 32(2), 1302-1311. |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/50929 |