IDEAS home Printed from https://ideas.repec.org/p/bdr/borrec/1230.html
   My bibliography  Save this paper

A trend-cycle decomposition with hysteresis

Author

Listed:
  • Javier G. Gómez-Pineda
  • Julián Roa-Rozo

Abstract

The business cycle is the cycle in the output gap and also in a stationary measure of trend output. Both the output gap and trend output are driven by joint trend-cycle shocks. The model is a univariate trend-cycle decomposition with hysteresis in trend output that enables the estimation of the output gap and trend output in 81 economies in quarterly frequency, since 1995Q1; and 184 economies in yearly frequency, in several cases since 1950, and in a few cases since 1820. Volatility and dispersion, as well as the frequency of large joint trend-cycle shocks, were low during the Gilded Age period; high during the interwar period, even more so in advanced (AD) economies compared to emerging market and developing economies (EMDE); and low in AD economies and high in EMDE economies in the post WWII period. In contrast with other existing estimates of trend output, those from the trend-cycle decomposition with hysteresis do not evolve smoothly, do not result in an artificial boom before recessions and are less sensitive to new data. **** RESUMEN: El ciclo económico es el ciclo en la brecha del producto y también en una medida estacionaria del producto tendencial. Tanto la brecha del producto como el producto tendencial son impulsados por choques conjuntos al ciclo y la tendencia. El modelo es una descomposición ciclo tendencia univariada con histéresis en el producto tendencia que permite la estimación de la brecha del producto y el producto tendencial en 81 economías en frecuencia trimestral desde 1995Q1 y en 184 economías en frecuencia anual desde 1975. La volatilidad, dispersión y frecuencia de choques conjuntos grandes fueron bajos durante el período de la Época Dorada; altos durante el período entre guerras, aún más en economías avanzadas (AD) en comparación con las emergentes y en desarrollo (EMDE); y bajo en las economías AD y alto en las economías EMDE en la segunda postguerra. En contraste con otros estimativos existentes del producto tendencial, los de la descomposición tendencia-ciclo con histéresis no evolucionan de forma suave, no resultan en un boom artificial antes de las recesiones y son menos sensibles a los datos nuevos.

Suggested Citation

  • Javier G. Gómez-Pineda & Julián Roa-Rozo, 2023. "A trend-cycle decomposition with hysteresis," Borradores de Economia 1230, Banco de la Republica de Colombia.
  • Handle: RePEc:bdr:borrec:1230
    DOI: 10.32468/be.1230
    as

    Download full text from publisher

    File URL: https://doi.org/10.32468/be.1230
    Download Restriction: no

    File URL: https://libkey.io/10.32468/be.1230?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
    ---><---

    References listed on IDEAS

    as
    1. Blanchard, Olivier Jean & Quah, Danny, 1989. "The Dynamic Effects of Aggregate Demand and Supply Disturbances," American Economic Review, American Economic Association, vol. 79(4), pages 655-673, September.
    2. Robert C. Feenstra & Robert Inklaar & Marcel P. Timmer, 2015. "The Next Generation of the Penn World Table," American Economic Review, American Economic Association, vol. 105(10), pages 3150-3182, October.
    3. Valerie Cerra & Sweta Chaman Saxena, 2008. "Growth Dynamics: The Myth of Economic Recovery," American Economic Review, American Economic Association, vol. 98(1), pages 439-457, March.
    4. Carmen M. Reinhart & Kenneth S. Rogoff, 2014. "Recovery from Financial Crises: Evidence from 100 Episodes," American Economic Review, American Economic Association, vol. 104(5), pages 50-55, May.
    5. Thomas Laubach & John C. Williams, 2003. "Measuring the Natural Rate of Interest," The Review of Economics and Statistics, MIT Press, vol. 85(4), pages 1063-1070, November.
    6. Mark Aguiar & Gita Gopinath, 2007. "Emerging Market Business Cycles: The Cycle Is the Trend," Journal of Political Economy, University of Chicago Press, vol. 115(1), pages 69-102.
    7. Laurence Ball & Joern Onken, 2022. "Hysteresis in unemployment: Evidence from OECD estimates of the natural rate," International Finance, Wiley Blackwell, vol. 25(3), pages 268-284, December.
    8. Sebastian Edwards, 2019. "On Latin American Populism, and Its Echoes around the World," Journal of Economic Perspectives, American Economic Association, vol. 33(4), pages 76-99, Fall.
    9. Daniel Kienzler & Kai D. Schmid, 2014. "Hysteresis in Potential Output and Monetary Policy," Scottish Journal of Political Economy, Scottish Economic Society, vol. 61(4), pages 371-396, September.
    10. Veronica Guerrieri & Guido Lorenzoni & Ludwig Straub & Iván Werning, 2022. "Macroeconomic Implications of COVID-19: Can Negative Supply Shocks Cause Demand Shortages?," American Economic Review, American Economic Association, vol. 112(5), pages 1437-1474, May.
    11. Durbin, James & Koopman, Siem Jan, 2012. "Time Series Analysis by State Space Methods," OUP Catalogue, Oxford University Press, edition 2, number 9780199641178.
    12. Valerie Cerra & Antonio Fatás & Sweta C. Saxena, 2023. "Hysteresis and Business Cycles," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 181-225, March.
    13. Philip Heidelberger & Peter D. Welch, 1983. "Simulation Run Length Control in the Presence of an Initial Transient," Operations Research, INFORMS, vol. 31(6), pages 1109-1144, December.
    14. Sebastian Edwards, 2019. "On Latin American Populism, And Its Echoes Around the World," NBER Working Papers 26333, National Bureau of Economic Research, Inc.
    15. Harvey, A C & Jaeger, A, 1993. "Detrending, Stylized Facts and the Business Cycle," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 8(3), pages 231-247, July-Sept.
    16. Michael Woodford, 2009. "Convergence in Macroeconomics: Elements of the New Synthesis," American Economic Journal: Macroeconomics, American Economic Association, vol. 1(1), pages 267-279, January.
    17. Nicolò Maffei-Faccioli, 2021. "Identifying the sources of the slowdown in growth: Demand vs. supply," Working Paper 2021/9, Norges Bank.
    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. Francesco Furlanetto & Ørjan Robstad & Pål Ulvedal & Antoine Lepetit, 2020. "Estimating hysteresis effects," Working Paper 2020/13, Norges Bank.
    2. Guido Bulligan & Lorenzo Burlon & Davide Delle Monache & Andrea Silvestrini, 2019. "Real and financial cycles: estimates using unobserved component models for the Italian economy," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 28(3), pages 541-569, September.
    3. Manuel Funke & Moritz Schularick & Christoph Trebesch, 2023. "Populist Leaders and the Economy," American Economic Review, American Economic Association, vol. 113(12), pages 3249-3288, December.
    4. Tommaso Proietti, 2002. "Some Reflections on Trend-Cycle Decompositions with Correlated Components," Econometrics 0209002, University Library of Munich, Germany.
    5. Campos, Luciano & Casas, Agustín, 2021. "Rara Avis: Latin American populism in the 21st century," European Journal of Political Economy, Elsevier, vol. 70(C).
    6. Valerie Cerra & Antonio Fatás & Sweta C. Saxena, 2023. "Hysteresis and Business Cycles," Journal of Economic Literature, American Economic Association, vol. 61(1), pages 181-225, March.
    7. Beenstock, Michael & Ilek, Alex, 2010. "Wicksell's Classical Dichotomy: Is the natural rate of interest independent of the money rate of interest?," Journal of Macroeconomics, Elsevier, vol. 32(1), pages 366-377, March.
    8. Fatás, Antonio & Summers, Lawrence H., 2018. "The permanent effects of fiscal consolidations," Journal of International Economics, Elsevier, vol. 112(C), pages 238-250.
    9. Álvarez, Luis J. & Gómez-Loscos, Ana, 2018. "A menu on output gap estimation methods," Journal of Policy Modeling, Elsevier, vol. 40(4), pages 827-850.
    10. Dieppe,Alistair Matthew & Francis,Neville Ricardo & Kindberg-Hanlon,Gene, 2021. "Technology and Demand Drivers of Productivity Dynamics in Developed and Emerging Market Economies," Policy Research Working Paper Series 9525, The World Bank.
    11. Mengheng Li & Ivan Mendieta-Munoz, 2019. "The multivariate simultaneous unobserved components model and identification via heteroskedasticity," Working Paper Series 2019/08, Economics Discipline Group, UTS Business School, University of Technology, Sydney.
    12. Strobl, Martin & Sáenz de Viteri, Andrea & Rode, Martin & Bjørnskov, Christian, 2023. "Populism and inequality: Does reality match the populist rhetoric?," Journal of Economic Behavior & Organization, Elsevier, vol. 207(C), pages 1-17.
    13. Mendieta-Muñoz, Ivan, 2017. "On The Interaction Between Economic Growth And Business Cycles," Macroeconomic Dynamics, Cambridge University Press, vol. 21(4), pages 982-1022, June.
    14. Ángel Guillén & Gabriel Rodríguez, 2014. "Trend-cycle decomposition for Peruvian GDP: application of an alternative method," Latin American Economic Review, Springer;Centro de Investigaciòn y Docencia Económica (CIDE), vol. 23(1), pages 1-44, December.
    15. Maximilian Grimm & Òscar Jordà & Moritz Schularick & Alan M. Taylor, 2023. "Loose Monetary Policy and Financial Instability," Working Paper Series 2023-06, Federal Reserve Bank of San Francisco.
    16. José Luis Cendejas & Félix-Fernando Muñoz & Nadia Fernández-de-Pinedo, 2017. "A contribution to the analysis of historical economic fluctuations (1870–2010): filtering, spurious cycles, and unobserved component modeling," Cliometrica, Springer;Cliometric Society (Association Francaise de Cliométrie), vol. 11(1), pages 93-125, January.
    17. Paternesi Meloni, Walter & Romaniello, Davide & Stirati, Antonella, 2022. "Inflation and the NAIRU: assessing the role of long-term unemployment as a cause of hysteresis," Economic Modelling, Elsevier, vol. 113(C).
    18. Camilo Granados & Daniel Parra-Amado, 2023. "Estimating the Output Gap After COVID: How to Address Unprecedented Macroeconomic Variations," Borradores de Economia 1249, Banco de la Republica de Colombia.
    19. Giorgio Calcagnini & Germana Giombini & Giuseppe Travaglini, 2021. "The Productivity Gap Among Major European Countries, USA and Japan," Italian Economic Journal: A Continuation of Rivista Italiana degli Economisti and Giornale degli Economisti, Springer;Società Italiana degli Economisti (Italian Economic Association), vol. 7(1), pages 59-78, March.
    20. Cao, Qingqing & Minetti, Raoul & Olivero, María Pía & Romanini, Giacomo, 2021. "Recessions and recoveries: Multinational banks in the business cycle," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 203-219.

    More about this item

    Keywords

    Hysteresis; Business cycles; Business Fluctuations; Univariate model; Trend-cycle decomposition; Trend output; Output gap; Potential output; Histéresis; Ciclo de los negocios; Fluctuaciones económicas; Modelo univariado; Descomposición tendencia ciclo; Producto tendencial; Brecha del producto; Producto potencial;
    All these keywords.

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E50 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - General
    • O47 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - Empirical Studies of Economic Growth; Aggregate Productivity; Cross-Country Output Convergence
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:bdr:borrec:1230. 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: Clorith Angélica Bahos Olivera (email available below). General contact details of provider: https://edirc.repec.org/data/brcgvco.html .

    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.