IDEAS home Printed from https://ideas.repec.org/a/eee/lajcba/v5y2024i2s2666143823000297.html
   My bibliography  Save this article

A diffusion index analysis of the Argentinean business economic cycle based on the “Survey of Business Economic Perspectives”

Author

Listed:
  • Elosegui, Pedro
  • González, Mirta
  • Pérez, María Cecilia
  • Sangiácomo, Máximo

Abstract

The Central Banks use diffusion indexes (DIs) to synthesize information from proprietary surveys that complement official statistics generating real-time proxies of the economically relevant variables. According to the evidence, the DIs closely follow the economic cycle reflected in those official statistics. In this paper, we calculate diffusion indexes to summarize relevant qualitative information on the economic situation of the firms participating in the Survey of Business Economic Perspectives collected by the Argentinean Central Bank [Banco Central de la República Argentina (BCRA)] and we evaluate their ability to track economic activity in real-time. The indexes are analyzed for the 2017–2022 period, a particularly volatile business cycle for Argentina and (given the impact of Covid-19) for the global economy. Using the qualitative data from the firms we calculate (i) the marginal diffusion index (MDI) proposed by the Federal Reserve Bank of Chicago (FRB-Chicago) and based on the balance of answers corrected by the averaged participant response and, (ii) the marginal fixed diffusion index (MFDI), a real-time variation of the latter. To contrast and validate the indexes’ ability to summarize relevant information we introduce an econometric procedure aimed at assessing their relationships with official economic activity indicators. The results indicate that the DIs calculated with the qualitative BCRA’s Survey information closely track and even anticipate the behavior of other official activity indicators both for the entire sample of firms and for the industrial sector.

Suggested Citation

  • Elosegui, Pedro & González, Mirta & Pérez, María Cecilia & Sangiácomo, Máximo, 2024. "A diffusion index analysis of the Argentinean business economic cycle based on the “Survey of Business Economic Perspectives”," Latin American Journal of Central Banking (previously Monetaria), Elsevier, vol. 5(2).
  • Handle: RePEc:eee:lajcba:v:5:y:2024:i:2:s2666143823000297
    DOI: 10.1016/j.latcb.2023.100108
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S2666143823000297
    Download Restriction: Gold Open Access

    File URL: https://libkey.io/10.1016/j.latcb.2023.100108?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. Santiago Pinto & Pierre-Daniel G. Sarte & Sonya Ravindranath Waddell, 2015. "Monitoring Economic Activity in Real Time Using Diffusion Indices: Evidence from the Fifth District," Economic Quarterly, Federal Reserve Bank of Richmond, issue 4Q, pages 275-301.
    2. Athanasios Orphanides & Simon van Norden, 2002. "The Unreliability of Output-Gap Estimates in Real Time," The Review of Economics and Statistics, MIT Press, vol. 84(4), pages 569-583, November.
    3. Santiago Pinto & Pierre-Daniel Sarte & Robert Sharp, 2020. "The Information Content and Statistical Properties of Diffusion Indexes," International Journal of Central Banking, International Journal of Central Banking, vol. 16(4), pages 47-99, September.
    4. Jacob Berman & Scott Brave & Thomas Walstrum, 2015. "The Chicago Fed Survey of Business Conditions: Quantifying the Seventh District’s Beige Book Report," Economic Perspectives, Federal Reserve Bank of Chicago, issue Q III.
    5. Santiago Pinto & Sonya Ravindranath Waddell, 2022. "Why Use a Diffusion Index?," Richmond Fed Economic Brief, Federal Reserve Bank of Richmond, vol. 22(22), June.
    6. Fanelli, José María, 2002. "Growth, instability and the convertibility crisis in Argentina," Revista CEPAL, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL), August.
    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. Pedro Elosegui & Mirta González & María Cecilia Pérez & Máximo Sangiácomo, 2022. "A Diffusion Index Analysis of the Argentinean Business Economic Cycle During the COVID-19 Pandemic," BCRA Working Paper Series 2022105, Central Bank of Argentina, Economic Research Department.
    2. Lucian Croitoru, 2016. "Are We Systematically Wrong when Estimating Potential Output and the Natural Rate of Interest?," Journal for Economic Forecasting, Institute for Economic Forecasting, vol. 0(2), pages 128-151, June.
    3. Karen E. Dynan & Douglas W. Elmendorf, 2001. "Do provisional estimates of output miss economic turning points?," Finance and Economics Discussion Series 2001-52, Board of Governors of the Federal Reserve System (U.S.).
    4. Miguel de Carvalho & Gabriel Martos, 2022. "Modeling interval trendlines: Symbolic singular spectrum analysis for interval time series," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 41(1), pages 167-180, January.
    5. Carlos Medel, 2017. "Forecasting Chilean inflation with the hybrid new keynesian Phillips curve: globalisation, combination, and accuracy," Journal Economía Chilena (The Chilean Economy), Central Bank of Chile, vol. 20(3), pages 004-050, December.
    6. Dean Croushore, 2009. "Commentary on Estimating U.S. output growth with vintage data in a state-space framework," Review, Federal Reserve Bank of St. Louis, vol. 91(Jul), pages 371-382.
    7. Brave, Scott A. & Gascon, Charles & Kluender, William & Walstrum, Thomas, 2021. "Predicting benchmarked US state employment data in real time," International Journal of Forecasting, Elsevier, vol. 37(3), pages 1261-1275.
    8. Giorgio E. Primiceri, 2006. "Why Inflation Rose and Fell: Policy-Makers' Beliefs and U. S. Postwar Stabilization Policy," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 121(3), pages 867-901.
    9. Harrison, Richard & Kapetanios, George & Yates, Tony, 2005. "Forecasting with measurement errors in dynamic models," International Journal of Forecasting, Elsevier, vol. 21(3), pages 595-607.
    10. repec:cnb:ocpubv:rb03/1 is not listed on IDEAS
    11. Troy Davig & Michael Redmond, 2014. "Accounting for changes in the U.S. budget deficit," Macro Bulletin, Federal Reserve Bank of Kansas City, pages 1-2, December.
    12. Grintzalis, Ioannis & Lodge, David & Manu, Ana-Simona, 2017. "The implications of global and domestic credit cycles for emerging market economies: measures of finance-adjusted output gaps," Working Paper Series 2034, European Central Bank.
    13. Aastveit, Knut Are & Trovik, Tørres, 2014. "Estimating the output gap in real time: A factor model approach," The Quarterly Review of Economics and Finance, Elsevier, vol. 54(2), pages 180-193.
    14. Gokcen Ogruk, 2014. "Is Implied Taylor Rule Interest Rate Applicable as a Carry Trade Strategy?," International Journal of Economics and Financial Issues, Econjournals, vol. 4(4), pages 909-919.
    15. Boysen-Hogrefe, Jens, 2014. "Konjunkturbereinigung der Länder: Eine Quasi-Echtzeitanalyse am Beispiel Schleswig-Holsteins," Kiel Discussion Papers 538, Kiel Institute for the World Economy (IfW Kiel).
    16. Muhammad Ramzan Sheikh & Iram Mushtaq & Asad Abbas & Sana Sultan, 2024. "Convergence Hypothesis and Economic Growth in ECO Countries: An Insight from MM-QR Approach," Bulletin of Business and Economics (BBE), Research Foundation for Humanity (RFH), vol. 13(1), pages 89-104.
    17. Camba-Mendez, Gonzalo & Rodriguez-Palenzuela, Diego, 2003. "Assessment criteria for output gap estimates," Economic Modelling, Elsevier, vol. 20(3), pages 529-562, May.
    18. Athanasios Orphanides & John C. Williams, 2007. "Inflation targeting under imperfect knowledge," Economic Review, Federal Reserve Bank of San Francisco, pages 1-23.
    19. Guérin, Pierre & Maurin, Laurent & Mohr, Matthias, 2015. "Trend-Cycle Decomposition Of Output And Euro Area Inflation Forecasts: A Real-Time Approach Based On Model Combination," Macroeconomic Dynamics, Cambridge University Press, vol. 19(2), pages 363-393, March.
    20. Lorenzo Burlon & Paolo D'Imperio, 2019. "The euro-area output gap through the lens of a DSGE model," Questioni di Economia e Finanza (Occasional Papers) 477, Bank of Italy, Economic Research and International Relations Area.
    21. Rodrigo Fuentes & Fabián Gredig & Mauricio Larraín, 2007. "Estimating the Output Gap for Chile," Working Papers Central Bank of Chile 455, Central Bank of Chile.

    More about this item

    Keywords

    Diffusion index; Business cycle; Economic activity;
    All these keywords.

    JEL classification:

    • C18 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Methodolical Issues: General
    • C83 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Survey Methods; Sampling Methods
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E66 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - General Outlook and Conditions

    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:eee:lajcba:v:5:y:2024:i:2:s2666143823000297. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/latin-american-journal-of-central-banking .

    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.