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Determinants Of Food Price Inflation In Finland

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  • Irz, Xavier T.
  • Niemi, Jyrki S.
  • Xing, Liu

Abstract

The agricultural commodity crisis of 2006-8 and the recent evolution of commodity markets have reignited anxieties in Finland over fast-rising food prices and food security. Although the impact of farm commodity price shocks on the final consumer is mitigated by a large degree of processing as well as the complex structure of the food chain, little is known about the strength of the linkages between food markets and input markets. Using monthly series of price indices from 1995 to 2010, we estimate a vector error-correction (VEC) model in a co-integration framework in order to investigate the short-term and long-term dynamics of food price formation. The results indicate that a statistically significant long-run equilibrium relationship exists between the prices of food and those of the main variable inputs consumed by the food chain, namely agricultural commodities, labour, and energy. When judged by the magnitude of long-run pass-through rates, farm prices represent the main determinant of food prices, followed by wages in food retail and the price of energy. However, highly volatile energy prices are also important in explaining food price variability. The parsimonious VEC model suggests that the dynamics of food price formation is dominated by a relatively quick process of adjustment to the long-run equilibrium, the half life of the transitional dynamics being six to eight months following a shock.

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Bibliographic Info

Paper provided by European Association of Agricultural Economists in its series 2011 International Congress, August 30-September 2, 2011, Zurich, Switzerland with number 114460.

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Date of creation: 2011
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Handle: RePEc:ags:eaae11:114460

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Keywords: Demand and Price Analysis;

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  1. Kelejian, Harry H., 1982. "An extension of a standard test for heteroskedasticity to a systems framework," Journal of Econometrics, Elsevier, vol. 20(2), pages 325-333, November.
  2. Johansen, Soren, 1988. "Statistical analysis of cointegration vectors," Journal of Economic Dynamics and Control, Elsevier, vol. 12(2-3), pages 231-254.
  3. Ephraim Leibtag, 2009. "How Much and How Quick? Pass through of Commodity and Input Cost Changes to Retail Food Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 91(5), pages 1462-1467.
  4. Jungho Baek & Won W. Koo, 2010. "Analyzing Factors Affecting U.S. Food Price Inflation," Canadian Journal of Agricultural Economics/Revue canadienne d'agroeconomie, Canadian Agricultural Economics Society/Societe canadienne d'agroeconomie, vol. 58(3), pages 303-320, 09.
  5. 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.
  6. White, Halbert, 1980. "A Heteroskedasticity-Consistent Covariance Matrix Estimator and a Direct Test for Heteroskedasticity," Econometrica, Econometric Society, vol. 48(4), pages 817-38, May.
  7. Lambert, David K. & Miljkovic, Dragan, 2010. "The sources of variability in U.S. food prices," Journal of Policy Modeling, Elsevier, vol. 32(2), pages 210-222, March.
  8. Helmut L├╝tkepohl & Pentti Saikkonen & Carsten Trenkler, 2001. "Maximum eigenvalue versus trace tests for the cointegrating rank of a VAR process," Econometrics Journal, Royal Economic Society, vol. 4(2), pages 8.
  9. Johansen, Soren, 1995. "Likelihood-Based Inference in Cointegrated Vector Autoregressive Models," OUP Catalogue, Oxford University Press, number 9780198774501, October.
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