IDEAS home Printed from https://ideas.repec.org/a/spr/qualqt/v56y2022i5d10.1007_s11135-021-01280-x.html
   My bibliography  Save this article

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
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11135-021-01280-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11135-021-01280-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. 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).
    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. Newey, Whitney & West, Kenneth, 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. 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.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. David Greasley & Les Oxley, 2010. "Cliometrics And Time Series Econometrics: Some Theory And Applications," Journal of Economic Surveys, Wiley Blackwell, vol. 24(5), pages 970-1042, December.
    2. David Kohns & Arnab Bhattacharjee, 2020. "Nowcasting Growth using Google Trends Data: A Bayesian Structural Time Series Model," Papers 2011.00938, arXiv.org, revised May 2022.
    3. Kocaarslan, Baris & Soytas, Ugur, 2019. "Dynamic correlations between oil prices and the stock prices of clean energy and technology firms: The role of reserve currency (US dollar)," Energy Economics, Elsevier, vol. 84(C).
    4. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
    5. Ledenyov, Dimitri O. & Ledenyov, Viktor O., 2015. "Wave function method to forecast foreign currencies exchange rates at ultra high frequency electronic trading in foreign currencies exchange markets," MPRA Paper 67470, University Library of Munich, Germany.
    6. Łukasz Baszczak, 2023. "Ekonomia narracji – początki nowego nurtu," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 1, pages 66-81.
    7. Saba Charles Shaaba, 2022. "Defence Spending and Economic Growth in South Africa: Evidence from Cointegration and Co-Feature Analysis," Peace Economics, Peace Science, and Public Policy, De Gruyter, vol. 28(1), pages 51-100, February.
    8. Kohns, David & Bhattacharjee, Arnab, 2023. "Nowcasting growth using Google Trends data: A Bayesian Structural Time Series model," International Journal of Forecasting, Elsevier, vol. 39(3), pages 1384-1412.
    9. Kocaarslan, Baris & Soytas, Ugur, 2021. "Reserve currency and the volatility of clean energy stocks: The role of uncertainty," Energy Economics, Elsevier, vol. 104(C).
    10. Vitek, Francis, 2006. "Measuring the Stance of Monetary Policy in a Small Open Economy: A Dynamic Stochastic General Equilibrium Approach," MPRA Paper 802, University Library of Munich, Germany.
    11. Joshua Schwartzstein & Adi Sunderam, 2021. "Using Models to Persuade," American Economic Review, American Economic Association, vol. 111(1), pages 276-323, January.
    12. Francesca Iorio & Stefano Fachin, 2014. "Savings and investments in the OECD: a panel cointegration study with a new bootstrap test," Empirical Economics, Springer, vol. 46(4), pages 1271-1300, June.
    13. Abdul Qayyum, 2006. "Money, Inflation, and Growth in Pakistan," The Pakistan Development Review, Pakistan Institute of Development Economics, vol. 45(2), pages 203-212.
    14. Karakotsios, Achillefs & Katrakilidis, Constantinos & Kroupis, Nikolaos, 2021. "The dynamic linkages between food prices and oil prices. Does asymmetry matter?," The Journal of Economic Asymmetries, Elsevier, vol. 23(C).
    15. Brittle, Shane, 2009. "Ricardian Equivalence and the Efficacy of Fiscal Policy in Australia," Economics Working Papers wp09-10, School of Economics, University of Wollongong, NSW, Australia.
    16. Todd E. Clark & Michael W. McCracken, 2010. "Averaging forecasts from VARs with uncertain instabilities," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 25(1), pages 5-29, January.
    17. Ekaterini Panopoulou, 2005. "A Resolution of the Fisher Effect Puzzle: A Comparison of Estimators," The Institute for International Integration Studies Discussion Paper Series iiisdp067, IIIS.
    18. Eckhard Hein & Christian Schoder, 2011. "Interest rates, distribution and capital accumulation -- A post-Kaleckian perspective on the US and Germany," International Review of Applied Economics, Taylor & Francis Journals, vol. 25(6), pages 693-723, November.
    19. Kanjilal, Kakali & Ghosh, Sajal, 2013. "Environmental Kuznet’s curve for India: Evidence from tests for cointegration with unknown structuralbreaks," Energy Policy, Elsevier, vol. 56(C), pages 509-515.
    20. Hall, Viv B & Thomson, Peter, 2022. "A boosted HP filter for business cycle analysis: evidence from New Zealand’s small open economy," Working Paper Series 9473, Victoria University of Wellington, School of Economics and Finance.

    More about this item

    Keywords

    Narratives; Internet searches; Rational incentives; Cultural bias; Regression analysis;
    All these keywords.

    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

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:qualqt:v:56:y:2022:i:5:d:10.1007_s11135-021-01280-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.