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A Tale of two narratives: assessing the sociological hypothesis of the appeal of the US dollar in Argentina

Author

Listed:
  • Fernando Delbianco

    (Universidad Nacional del Sur
    Consejo Nacional de Investigaciones Científicas y Tácnicas)

  • Andrés Fioriti

    (Universidad Nacional del Sur
    Consejo Nacional de Investigaciones Científicas y Tácnicas)

  • Fernando Tohmé

    (Universidad Nacional del Sur
    Consejo Nacional de Investigaciones Científicas y Tácnicas)

  • Federico Contiggiani

    (Universidad Nacional de Río Negro)

Abstract

A remarkable feature of the Argentinean economy is the widespread use of the US dollar as a measure of value, storage of value and in several high-end markets, as a medium of exchange. The use of this currency for these roles has been adopted by all the income strata in the country. Economists explain this, in what we call the rational narrative, as a rational response to the many uncertainties affecting the economy. On the other hand, sociologists and other social scientists have attributed this fact to a “cultural” bias. The latter is what we call the sociological narrative. These two conflicting narratives dominate the discussion on economic policies, particularly when the country enters in one if its frequent crises. In this paper we assess which of these two narratives is better supported by real-world data. For this, we use as a proxy for the interest in the US dollar the Internet searches for its value on the black market. The idea is that according to the sociological narrative, the interest in the value of the dollar precedes any actual change in the price of the American currency. On the other hand, an implication of the rational narrative is that increases in the value of the dollar (the usual variation in inflation-ridden Argentina) creates incentives to look for convenient purchasing opportunities. Thus, according to the rational narrative, searches should come after changes in the value of the dollar. We run several statistical analyses and find that the actual purchases of dollars precede Internet searches, allowing us to reject the sociological narrative.

Suggested Citation

  • Fernando Delbianco & Andrés Fioriti & Fernando Tohmé & Federico Contiggiani, 2022. "A Tale of two narratives: assessing the sociological hypothesis of the appeal of the US dollar in Argentina," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(5), pages 3519-3537, October.
  • Handle: RePEc:spr:qualqt:v:56:y:2022:i:5:d:10.1007_s11135-021-01280-x
    DOI: 10.1007/s11135-021-01280-x
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    References listed on IDEAS

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    1. Rickard Nyman & Sujit Kapadia & David Tuckett & David Gregory & Paul Ormerod & Robert Smith, 2018. "News and narratives in financial systems: exploiting big data for systemic risk assessment," Bank of England working papers 704, Bank of England.
    2. Hodrick, Robert J & Prescott, Edward C, 1997. "Postwar U.S. Business Cycles: An Empirical Investigation," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 29(1), pages 1-16, February.
    3. Benabou, Roland & Falk, Armin & Tirole, Jean, 2018. "Narratives, Imperatives, and Moral Reasoning," IZA Discussion Papers 11665, Institute of Labor Economics (IZA).
    4. F. Antolini & L. Grassini, 2019. "Foreign arrivals nowcasting in Italy with Google Trends data," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2385-2401, September.
    5. M. Hashem Pesaran & Yongcheol Shin & Richard J. Smith, 2001. "Bounds testing approaches to the analysis of level relationships," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 16(3), pages 289-326.
    6. Bertsch, Christoph & Hull, Isaiah & Zhang, Xin, 2021. "Narrative fragmentation and the business cycle," Economics Letters, Elsevier, vol. 201(C).
    7. Stefano DellaVigna & Eliana La Ferrara, 2015. "Economic and Social Impacts of the Media," NBER Working Papers 21360, National Bureau of Economic Research, Inc.
    8. Whitney Newey & Kenneth West, 2014. "A simple, positive semi-definite, heteroscedasticity and autocorrelation consistent covariance matrix," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 33(1), pages 125-132.
    9. Daniel Kahneman, 2003. "Maps of Bounded Rationality: Psychology for Behavioral Economics," American Economic Review, American Economic Association, vol. 93(5), pages 1449-1475, December.
    10. Hyunyoung Choi & Hal Varian, 2012. "Predicting the Present with Google Trends," The Economic Record, The Economic Society of Australia, vol. 88(s1), pages 2-9, June.
    11. Gregory, Allan W & Hansen, Bruce E, 1996. "Tests for Cointegration in Models with Regime and Trend Shifts," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 58(3), pages 555-560, August.
    12. George A. Akerlof & Robert J. Shiller, 2015. "Phishing for Phools: The Economics of Manipulation and Deception," Economics Books, Princeton University Press, edition 1, number 10534.
    13. Nyman, Rickard & Kapadia, Sujit & Tuckett, David, 2021. "News and narratives in financial systems: Exploiting big data for systemic risk assessment," Journal of Economic Dynamics and Control, Elsevier, vol. 127(C).
    14. Chiara Sotis, 2021. "How do Google searches for symptoms, news and unemployment interact during COVID-19? A Lotka–Volterra analysis of google trends data," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(6), pages 2001-2016, December.
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    Keywords

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    JEL classification:

    • C50 - Mathematical and Quantitative Methods - - Econometric Modeling - - - General
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D91 - Microeconomics - - Micro-Based Behavioral Economics - - - Role and Effects of Psychological, Emotional, Social, and Cognitive Factors on Decision Making
    • Z10 - Other Special Topics - - Cultural Economics - - - General

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