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Tracking the trend of quinoa price in Bolivia: Structural breaks and persistence of shoks

Author

Listed:
  • Javier Aliaga Lordemann

    (INESAD Associate Researcher)

  • Ignacio Garrón Vedia

    (INESAD Guest Researcher)

  • María Cecilia Lenis Abastoflor

    (INESAD Junior Researcher)

Abstract

Quinoa has evolved considerably in the past decades, becoming consolidated as a fundamental pillar for Andean farming communities and emerging as a prominent actor in the global superfood market. Despite this, prices of this grain have been characterized by complex dynamics, with substantial fluctuations that directly affect smallholder income. The goal of this research is to analyze Bolivian quinoa price dynamics, identifying both the main events and factors that caused structural breaks in the price trend and the persistence of shocks in time. The approach employed combines, on the one hand, an analysis of the structural breaks by means of the Bai and Perron contrast, together with estimates of long memory using the 2ELW estimator. Also evaluated was the influence of exogenous variables that affect prices, for which the world commodity activity index (Index of Global Real Economic Activity), the Oceanic Niño Index and world quinoa production were considered. The findings show multiple structural breaks in the quinoa price series, related to certain key events. Among the latter are for example changes in research and development, the production and sales boom, and the boost prompted by State initiatives and international cooperation. These breaks are also related to different degrees of persistence in the shocks under the different regimes identified. Although the exogenous variables show no significant short-term effects, it is understood that they may have a relevant influence in different periods. The present study shows the complexity of Bolivian quinoa price dynamics, characterized by several structural breaks. To take proper advantage of this market, producers and policy makers must implement flexible strategies, as well as continuous monitoring of the sector’s progress, considering the key factors that induced price trend changes over the years.

Suggested Citation

  • Javier Aliaga Lordemann & Ignacio Garrón Vedia & María Cecilia Lenis Abastoflor, 2024. "Tracking the trend of quinoa price in Bolivia: Structural breaks and persistence of shoks," Development Research Working Paper Series 10/2024, Institute for Advanced Development Studies.
  • Handle: RePEc:adv:wpaper:202410
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    References listed on IDEAS

    as
    1. Jushan Bai & Pierre Perron, 1998. "Estimating and Testing Linear Models with Multiple Structural Changes," Econometrica, Econometric Society, vol. 66(1), pages 47-78, January.
    2. Shimotsu, Katsumi, 2010. "Exact Local Whittle Estimation Of Fractional Integration With Unknown Mean And Time Trend," Econometric Theory, Cambridge University Press, vol. 26(2), pages 501-540, April.
    3. Zeileis, Achim & Leisch, Friedrich & Hornik, Kurt & Kleiber, Christian, 2002. "strucchange: An R Package for Testing for Structural Change in Linear Regression Models," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 7(i02).
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    5. Jushan Bai & Pierre Perron, 2003. "Computation and analysis of multiple structural change models," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 18(1), pages 1-22.
    6. Lutz Kilian, 2009. "Not All Oil Price Shocks Are Alike: Disentangling Demand and Supply Shocks in the Crude Oil Market," American Economic Review, American Economic Association, vol. 99(3), pages 1053-1069, June.
    7. Stevens, Andrew W., 2017. "Quinoa quandary: Cultural tastes and nutrition in Peru," Food Policy, Elsevier, vol. 71(C), pages 132-142.
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    quinoa; prices; structural breaks; long memory; market dynamics; Andean region.;
    All these keywords.

    JEL classification:

    • Q10 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - General
    • Q11 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Aggregate Supply and Demand Analysis; Prices
    • Q17 - Agricultural and Natural Resource Economics; Environmental and Ecological Economics - - Agriculture - - - Agriculture in International Trade
    • O13 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Agriculture; Natural Resources; Environment; Other Primary Products
    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes

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