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Impacts of Export Restrictions on Food Price Volatility: Evidence from VAR-X and EGARCH-X Models

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  • Dalheimer, Bernhard
  • Brümmer, Bernhard
  • Jaghdani, Tinoush Jamali

Abstract

While export restrictive policy has long been associated with increasing food price volatility, it has received minimal attention in the empirical literature compared to other potential drivers of international food price fluctuations. This paper aims at closing this gap by firstly quantifying the relevant policies in an indicator of export restrictive policy. Subsequently, the effects of that are tested on estimated realized and GARCH volatility in VAR-X models where various wheat price volatilities are allowed to be endogenously determined. In a second step, the impacts of export controls during times of market turmoil are assessed in asymmetric volatility models. This strategy succinctly reveals the effects of export controls along the policy, frequency, country and time dimensions providing a detailed set of evidence. It is found that, most pronounced effects on wheat price volatility stem from long-term quotas. Similarly, longer term prohibitions of some countries have impacted wheat price fluctuation as well. On the contrary, long term tax strategies are shown to not significantly impact wheat price volatility. However, during times of market turmoil all three considered export restrictions have particularly contributed to wheat price volatility. Strengthened and more binding WTO regulation could have led to significantly less food price volatility, especially in times of food price crisis, such as recently experienced during the 2007/08 and 2010/11 episodes.

Suggested Citation

  • Dalheimer, Bernhard & Brümmer, Bernhard & Jaghdani, Tinoush Jamali, 2017. "Impacts of Export Restrictions on Food Price Volatility: Evidence from VAR-X and EGARCH-X Models," 57th Annual Conference, Weihenstephan, Germany, September 13-15, 2017 262151, German Association of Agricultural Economists (GEWISOLA).
  • Handle: RePEc:ags:gewi17:262151
    DOI: 10.22004/ag.econ.262151
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    References listed on IDEAS

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    1. Angus Deaton & Guy Laroque, 1992. "On the Behaviour of Commodity Prices," The Review of Economic Studies, Review of Economic Studies Ltd, vol. 59(1), pages 1-23.
    2. Asger Lunde & Peter R. Hansen, 2005. "A forecast comparison of volatility models: does anything beat a GARCH(1,1)?," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 20(7), pages 873-889.
    3. Rude, James & An, Henry, 2015. "Explaining grain and oilseed price volatility: The role of export restrictions," Food Policy, Elsevier, vol. 57(C), pages 83-92.
    4. Nelson, Daniel B, 1991. "Conditional Heteroskedasticity in Asset Returns: A New Approach," Econometrica, Econometric Society, vol. 59(2), pages 347-370, March.
    5. Christopher L. Gilbert, 2010. "How to Understand High Food Prices," Journal of Agricultural Economics, Wiley Blackwell, vol. 61(2), pages 398-425, June.
    6. Ser-Huang Poon & Clive W.J. Granger, 2003. "Forecasting Volatility in Financial Markets: A Review," Journal of Economic Literature, American Economic Association, vol. 41(2), pages 478-539, June.
    7. Will Martin & Kym Anderson, 2012. "Export Restrictions and Price Insulation During Commodity Price Booms," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 94(2), pages 422-427.
    8. Brian D. Wright, 2011. "The Economics of Grain Price Volatility," Applied Economic Perspectives and Policy, Agricultural and Applied Economics Association, vol. 33(1), pages 32-58.
    9. Bollerslev, Tim, 1986. "Generalized autoregressive conditional heteroskedasticity," Journal of Econometrics, Elsevier, vol. 31(3), pages 307-327, April.
    10. Masahiro Kawai, 1983. "Spot and Futures Prices of Nonstorable Commodities Under Rational Expectations," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 98(2), pages 235-254.
    11. Rafael E. de Hoyos & Denis Medvedev, 2011. "Poverty Effects of Higher Food Prices: A Global Perspective," Review of Development Economics, Wiley Blackwell, vol. 15(3), pages 387-402, August.
    12. Hans-Martin Krolzig, 2001. "General--to--Specific Reductions of Vector Autoregressive Processes," Computing in Economics and Finance 2001 164, Society for Computational Economics.
    13. Olivier Cadot & Alan Asprilla & Julien Gourdon & Ralph Peters & Christian Knebel, 2015. "Deep Regional Integration And Non-Tariff Measures: A Methodology For Data Analysis," UNCTAD Blue Series Papers 69, United Nations Conference on Trade and Development.
    14. Engle, Robert F, 1982. "Autoregressive Conditional Heteroscedasticity with Estimates of the Variance of United Kingdom Inflation," Econometrica, Econometric Society, vol. 50(4), pages 987-1007, July.
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    Cited by:

    1. Berger, Jurij & Dalheimer, Bernhard & Brümmer, Bernhard, 2021. "Effects of variable EU import levies on corn price volatility," Food Policy, Elsevier, vol. 102(C).

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    Keywords

    Agricultural and Food Policy; Demand and Price Analysis; International Relations/Trade;
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