Domestic Wheat Price Formation and Food Inflation in India
Inflation, especially in food prices, has been persistently high in India during the past twenty four months. This has been a source of concern to policy-makers. Fortunately, food price increases are now starting to ease, after the major spike that occurred in the wake of the severe drought of 2009. However, there still remains concern that we: (a) need to better understand the factors that drive such spikes in key prices; and (b) design more effective policies to prevent such future price spikes. The main approach to understanding inflation and its drivers has typically rested, on the whole, in assessing aggregate macroeconomic (aggregate supply and demand) conditions, which then typically leads to consideration of macroeconomic and monetary) policies as the principal tool to deal with inflation surges. That may indeed be appropriate in most circumstances, but is often a blunt, sometimes costly instrument that can stifle growth, especially if price pressures arise from (temporary) supply constraints. Therefore, it may be important to complement an aggregate macroeconomic analysis of inflation with microeconomic analysis: to ascertain if inflation is being driven by specific price spikes in important food and non-food commodities, which has the potential to drive other commodity prices in a cost-push manner. This paper, on global wheat market developments, price transmission and impacts on Indian domestic markets, as well as an assessment of public policies to manage domestic prices, is part of a larger effort to improve our in-house (Department of Economic Affairs) research---to track, monitor and forecast fast-moving key macro-economic variables with potentially large consequences for public policy. We have begun to intensify our efforts. We are investing further systematically---to understand growth and inflation dynamics in the context of rising food inflationary pressures in India and worldwide. We are capturing more high frequency data, and applying quantitative modeling tools (as evident in our current Economic Survey). We take up wheat in this paper, because of recent rapid price rises globally, as well as domestically, and because it constitutes a major element of the overall wholesale and consumer food price inflation indices. Some aspects of the price formation and policy intervention processes in wheat are also likely to be structurally similar for other similar classes of important food items (such as rice), permitting broader insights. Our paper draws upon existing theoretical insights and modeling attempts in the literature; it is, nevertheless, useful to note three “biases” in our approach: (a) favoring analysis of short-term, high-frequency price formation (daily, monthly, or quarterly), versus alternative longer-term annual, structural models; (b) favoring simplified reduced form forecasting models that track high-frequency turning points well, over more elaborate models and tests of longerduration time-series data (which may tend to be more historical and backward-looking, and less useful for short-term forecasting); and (c) assessing current India-specific public interventions in greater detail, than in more general academic papers and models.
|Date of creation:||15 May 2011|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://mpra.ub.uni-muenchen.de
More information through EDIRC
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.:
- Alex F. McCalla, 2009. "World Food Prices: Causes and Consequences," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 57(1), pages 23-34, 03.
- Gregory, Allan W & Hansen, Bruce E, 1996.
"Tests for Cointegration in Models with Regime and Trend Shifts,"
Oxford Bulletin of Economics and Statistics,
Department of Economics, University of Oxford, vol. 58(3), pages 555-60, August.
- Tom Doan, . "GREGORYHANSEN: RATS procedure to implement Gregory-Hansen test for Cointegration with breaks," Statistical Software Components RTS00082, Boston College Department of Economics.
- Pietola, Kyösti & Liu, Xing & Robles, Miguel, 2010. "Price, inventories, and volatility in the global wheat market," IFPRI discussion papers 996, International Food Policy Research Institute (IFPRI).
- A. Banerji and J.V.Meenakshi & J.V.Meenakshi, 2002.
"Buyer Collusion and Efficiency of Government Intervention in Wheat Markets in Northern India: An Asymmetric Structural Auctions Analysis,"
104, Centre for Development Economics, Delhi School of Economics.
- A. Banerji & J.V. Meenakshi, 2004. "Buyer Collusion and Efficiency of Government Intervention in Wheat Markets in Northern India: An Asymmetric Structural Auctions Analysis," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 86(1), pages 236-253.
- Robles, Miguel & Torero, Maximo & von Braun, Joachim, 2009. "When speculation matters:," Issue briefs 57, International Food Policy Research Institute (IFPRI).
- 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.
- Mohsin S. Khan & Axel Schimmelpfennig, 2006. "Inflation in Pakistan; Money or Wheat?," IMF Working Papers 06/60, International Monetary Fund.
- Shaun K. Roache, 2010. "What Explains the Rise in Food Price Volatility?," IMF Working Papers 10/129, International Monetary Fund.
When requesting a correction, please mention this item's handle: RePEc:pra:mprapa:31564. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Ekkehart Schlicht)
If references are entirely missing, you can add them using this form.