Estimating the competitive storage model with trending commodity prices
We present a method to estimate jointly the parameters of a standard commodity storage model and the parameters characterizing the trend in commodity prices. This procedure allows the influence of a possible trend to be removed without restricting the model specification, and allows model and trend selection based on statistical criteria. The trend is modeled deterministically using linear or cubic spline functions of time. The results show that storage models with trend are always preferred to models without trend. They yield more plausible estimates of the structural parameters, with storage costs and demand elasticities that are more consistent with the literature. They imply occasional stockouts, whereas without trend the estimated models predict no stockouts over the sample period for most commodities. Moreover, accounting for a trend in the estimation imply price moments closer to those observed in commodity prices. Our results support the empirical relevance of the speculative storage model, and show that storage model estimations should not neglect the possibility of long-run price trends.
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- Cafiero, Carlo & Bobenrieth H., Eugenio S.A. & Bobenrieth H., Juan R.A. & Wright, Brian D., 2011. "The empirical relevance of the competitive storage model," Journal of Econometrics, Elsevier, vol. 162(1), pages 44-54, May.
- Canova, Fabio, 2014. "Bridging DSGE models and the raw data," Journal of Monetary Economics, Elsevier, vol. 67(C), pages 1-15.
- Rabah Arezki & Kaddour Hadri & Prakash Loungani & Yao Rao, 2014.
"Testing the prebisch-Singer Hypothesis Since 1650: Evidence from panel techniques that allow for multiple breaks,"
OxCarre Working Papers
124, Oxford Centre for the Analysis of Resource Rich Economies, University of Oxford.
- Arezki, Rabah & Hadri, Kaddour & Loungani, Prakash & Rao, Yao, 2014. "Testing the Prebisch–Singer hypothesis since 1650: Evidence from panel techniques that allow for multiple breaks," Journal of International Money and Finance, Elsevier, vol. 42(C), pages 208-223.
- Rabah Arezki & Kaddour Hadri & Prakash Loungani & Yao Rao, 2013. "Testing the Prebisch-Singer Hypothesis since 1650; Evidence from Panel Techniques that Allow for Multiple Breaks," IMF Working Papers 13/180, .
- Cuddington, John T., 1992. "Long-run trends in 26 primary commodity prices : A disaggregated look at the Prebisch-Singer hypothesis," Journal of Development Economics, Elsevier, vol. 39(2), pages 207-227, October.
- Bobenrieth, Eugenio & Wright, Brian D. & Zeng, Di, 2014. "How Biofuels Policies Boosted Grain Staple Prices: A Counterfactual Analysis," 2014 Annual Meeting, July 27-29, 2014, Minneapolis, Minnesota 170709, Agricultural and Applied Economics Association.
- Angus Deaton & Guy Laroque, 1990.
"On The Behavior of Commodity Prices,"
NBER Working Papers
3439, National Bureau of Economic Research, Inc.
- Stephan Pfaffenzeller & Paul Newbold & Anthony Rayner, 2007. "A Short Note on Updating the Grilli and Yang Commodity Price Index," World Bank Economic Review, World Bank Group, vol. 21(1), pages 151-163.
- Canova, Fabio, 1993.
"Detrending and Business Cycle Facts,"
CEPR Discussion Papers
782, C.E.P.R. Discussion Papers.
- Michael K. Adjemian & Aaron Smith, 2012. "Using USDA Forecasts to Estimate the Price Flexibility of Demand for Agricultural Commodities," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(4), pages 978-995.
- Alexander Michaelides & Serena Ng, 2000.
"Estimating the rational expectations model of speculative storage : a Monte Carlo comparison of three simulation estimators,"
LSE Research Online Documents on Economics
198, London School of Economics and Political Science, LSE Library.
- Michaelides, Alexander & Ng, Serena, 2000. "Estimating the rational expectations model of speculative storage: A Monte Carlo comparison of three simulation estimators," Journal of Econometrics, Elsevier, vol. 96(2), pages 231-266, June.
- Alexander Michaelides & Serena Ng, 1997. "Estimating the Rational Expectations Model of Speculative Storage: A Monte Carlo Comparison of Three Simulation Estimators," Boston College Working Papers in Economics 373, Boston College Department of Economics.
- Eugenio Bobenrieth & Brian Wright & Di Zeng, 2013. "Stocks-to-use ratios and prices as indicators of vulnerability to spikes in global cereal markets," Agricultural Economics, International Association of Agricultural Economists, vol. 44(s1), pages 43-52, November.
- Ferroni, Filippo, 2009.
"Trend agnostic one step estimation of DSGE models,"
14550, University Library of Munich, Germany.
- Fernandez, Viviana, 2012. "Trends in real commodity prices: How real is real?," Resources Policy, Elsevier, vol. 37(1), pages 30-47.
- Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-247, July-Sept.
- Deaton, Angus & Laroque, Guy, 1996. "Competitive Storage and Commodity Price Dynamics," Journal of Political Economy, University of Chicago Press, vol. 104(5), pages 896-923, October.
- Luis Rios & Nikolaos Sahinidis, 2013. "Derivative-free optimization: a review of algorithms and comparison of software implementations," Journal of Global Optimization, Springer, vol. 56(3), pages 1247-1293, July.
- Michael J. Roberts & Wolfram Schlenker, 2010.
"Identifying Supply and Demand Elasticities of Agricultural Commodities: Implications for the US Ethanol Mandate,"
NBER Working Papers
15921, National Bureau of Economic Research, Inc.
- Michael J. Roberts & Wolfram Schlenker, 2013. "Identifying Supply and Demand Elasticities of Agricultural Commodities: Implications for the US Ethanol Mandate," American Economic Review, American Economic Association, vol. 103(6), pages 2265-2295, October.
- Prebisch, Raúl, 1950. "The economic development of Latin America and its principal problems," Sede de la CEPAL en Santiago (Estudios e Investigaciones) 29973, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
- Ardeni, Pier Giorgio & Wright, Brian, 1992. "The Prebisch-Singer Hypothesis: A Reappraisal Independent of Stationarity Hypotheses," Economic Journal, Royal Economic Society, vol. 102(413), pages 803-812, July.
- Gustafson, Robert L., 1958. "Carryover levels for grains: A method for determining amounts that are optimal under specified conditions," Technical Bulletins 157231, United States Department of Agriculture, Economic Research Service.
- Paul Cashin & C. John McCDermott, 2002.
"The Long-Run Behavior of Commodity Prices: Small Trends and Big Variability,"
IMF Staff Papers,
Palgrave Macmillan, vol. 49(2), pages 1-2.
- Paul Cashin & C. John McDermott, 2001. "The Long-Run Behavior of Commodity Prices; Small Trends and Big Variability," IMF Working Papers 01/68, .
- James L. Seale & Anita Regmi, 2006. "Modeling International Consumption Patterns," Review of Income and Wealth, International Association for Research in Income and Wealth, vol. 52(4), pages 603-624, December.
- Canova, Fabio, 1998. "Detrending and business cycle facts: A user's guide," Journal of Monetary Economics, Elsevier, vol. 41(3), pages 533-540, May.
- Carlo Cafiero & Eugenio S.A. Bobenrieth H. & Juan R.A. Bobenrieth H. & Brian D. Wright, 2015. "Maximum Likelihood Estimation of the Standard Commodity Storage Model: Evidence from Sugar Prices," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 97(1), pages 122-136.
- Grilli, Enzo R & Yang, Maw Cheng, 1988. "Primary Commodity Prices, Manufactured Goods Prices, and the Terms of Trade of Developing Countries: What the Long Run Shows," World Bank Economic Review, World Bank Group, vol. 2(1), pages 1-47, January.
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