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Internal price stabilization tools in the Colombian sugar market: Do they work?

Author

Listed:
  • Julio César Alonso Cifuentes

    (Universidad Icesi)

  • Andrés Mauricio Arcila Vásquez

    (Universidad Icesi)

  • Sebastián Montenegro Arana

    (Universidad de Texas)

Abstract

Since 2001, local sugar prices in Colombia are subject to the Sugar Price Stabilization Fund (FEPA). The Colombian government designed FEPA to protect local producers from fluctuations in international sugar prices, complementing the existing Andean Price Band System (SAFP) of the Andean Community of Nations. This paper aims to determine whether the FEPA, joint with SAFP, have isolated the local price from fluctuations in the international sugar price. To this end, we determine whether or not a long-term relationship exists between international sugar prices and local prices in the three main cities of Colombia. Using monthly data for the period 2001-2015, we did not find evidence of cointegration between the international prices and the local prices in each of the studied cities. We then conclude that the FEPA and SAFP have succeeded in isolating the effect of international prices on domestic prices.

Suggested Citation

  • Julio César Alonso Cifuentes & Andrés Mauricio Arcila Vásquez & Sebastián Montenegro Arana, 2017. "Internal price stabilization tools in the Colombian sugar market: Do they work?," Lecturas de Economía, Universidad de Antioquia, Departamento de Economía, issue 86, pages 105-126, Enero - J.
    • Handle: RePEc:lde:journl:y:2017:i:86:p:105-126
    DOI: 10.17533/udea.le.n86a04
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    References listed on IDEAS

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    1. Benton F. Massell, 1969. "Price Stabilization and Welfare," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 83(2), pages 284-298.
    2. Johansen, Soren, 1991. "Estimation and Hypothesis Testing of Cointegration Vectors in Gaussian Vector Autoregressive Models," Econometrica, Econometric Society, vol. 59(6), pages 1551-1580, November.
    3. Newbery, D M G & Stiglitz, J E, 1979. "The Theory of Commodity Price Stabilisation Rules: Welfare Impacts and Supply Responses," Economic Journal, Royal Economic Society, vol. 89(356), pages 799-817, December.
    4. Julio César Alonso & Paul Seeman, 2010. "Prueba de HEGY en R: Una guía," Apuntes de Economía 9098, Universidad Icesi.
    5. Clark, J. Stephen & Klein, Kurt K., 1993. "The Relationship Between Price Stabilization And Cycles In The Canadian Wheat Market," Agricultural and Resource Economics Review, Northeastern Agricultural and Resource Economics Association, vol. 23(1), pages 1-7, April.
    6. Hylleberg, S. & Engle, R. F. & Granger, C. W. J. & Yoo, B. S., 1990. "Seasonal integration and cointegration," Journal of Econometrics, Elsevier, vol. 44(1-2), pages 215-238.
    7. Miranda, Mario J & Helmberger, Peter G, 1988. "The Effects of Commodity Price Stabilization Programs," American Economic Review, American Economic Association, vol. 78(1), pages 46-58, March.
    8. Phillips, Peter C B & Ouliaris, S, 1990. "Asymptotic Properties of Residual Based Tests for Cointegration," Econometrica, Econometric Society, vol. 58(1), pages 165-193, January.
    9. Juan Walter Tudela & Ramón Rosales & Henry Samacá, 2004. "Un Análisis Empírico Del Fondo De Estabilización De Precios En El Mercado De Aceite De Palma Colombiano," Documentos CEDE 3673, Universidad de los Andes, Facultad de Economía, CEDE.
    10. Breitung, Jorg, 2002. "Nonparametric tests for unit roots and cointegration," Journal of Econometrics, Elsevier, vol. 108(2), pages 343-363, June.
    11. Julio César Alonso & Andrés Mauricio Arcila, 2013. "Empleo del comportamiento estacional para mejorar el pronóstico de un commodity: el caso del mercado internacional del azúcar," Estudios Gerenciales, Universidad Icesi, December.
    12. Breusch, T S, 1978. "Testing for Autocorrelation in Dynamic Linear Models," Australian Economic Papers, Wiley Blackwell, vol. 17(31), pages 334-355, December.
    13. Paul Cashin & Hong Liang & C. John McDermott, 2000. "How Persistent Are Shocks to World Commodity Prices?," IMF Staff Papers, Palgrave Macmillan, vol. 47(2), pages 1-2.
    14. Clark, J. Stephen & Klein, K.K., 1994. "The Relationship Between Price Stabilization and Cycles in the Canadian Wheat Market," Agricultural and Resource Economics Review, Cambridge University Press, vol. 23(1), pages 22-28, April.
    15. Godfrey, Leslie G, 1978. "Testing against General Autoregressive and Moving Average Error Models When the Regressors Include Lagged Dependent Variables," Econometrica, Econometric Society, vol. 46(6), pages 1293-1301, November.
    16. Ghysels, Eric & Lee, Hahn S. & Noh, Jaesum, 1994. "Testing for unit roots in seasonal time series : Some theoretical extensions and a Monte Carlo investigation," Journal of Econometrics, Elsevier, vol. 62(2), pages 415-442, June.
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    More about this item

    Keywords

    FEPA; Andean Price Band System; cointegration; unit root; sugar.;
    All these keywords.

    JEL classification:

    • C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
    • G13 - Financial Economics - - General Financial Markets - - - Contingent Pricing; Futures Pricing
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading
    • Q14 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agricultural Finance

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