IDEAS home Printed from https://ideas.repec.org/p/apk/nottec/2203.html
   My bibliography  Save this paper

Estimation of Potential Output for Costa Rica. 1995-2021

Author

Listed:
  • Adolfo Rodríguez-Vargas

    (Department of Economic Research, Central Bank of Costa Rica)

Abstract

The potential output of an economy is an unobservable variable whose evolution is closely monitored by policymakers. To deal with estimation uncertainty, at the Central Bank of Costa Rica potential output is estimated by a combination of methodologies: a production function approach and two statistical methods. In this note we present an updating of the potential output for Costa Rica using the GDP data based on the structure of the economy for the reference year 2017 and taking into account data from 1995 up to the years of the COVID-19 pandemic. The results suggest that the Costa Rican economy is labour-intensive, in line with previous studies, and that the average rate of growth for potential output would be 3,8% for the 2021-2027 period. We estimate that the COVID-19 pandemic temporarily reduced potential growth to 0,6% during 2020. The resulting output gap is useful for modelling inflation. ***Resumen: El producto potencial es una variable no observable cuya evolución es de sumo interés para la conducción de la política económica. Dado que su estimación está sujeta a incertidumbre, en el Banco Central de Costa Rica el producto potencial se estima mediante una combinación de metodologías: una función de producción y dos métodos estadísticos. En esta nota se presenta una actualización de la estimación del producto potencial para Costa Rica con los datos de producción basados en la estructura productiva de la economía en 2017, la estimación comprende desde el año 1995 y considera el período de pandemia por COVID-19. Los resultados sugieren que la economía costarricense en intensiva en capital humano, en línea con resultados de estudios anteriores, y que la tasa promedio de crecimiento del potencial sería de 3,8% para el período 2021-2027. Se estima que la pandemia por COVID-19 redujo temporalmente la tasa de crecimiento del potencial a 0,6% durante 2020. Además, la brecha de producto resultante es útil para modelar la inflación.

Suggested Citation

  • Adolfo Rodríguez-Vargas, 2022. "Estimation of Potential Output for Costa Rica. 1995-2021," Notas Técnicas 2203, Banco Central de Costa Rica.
  • Handle: RePEc:apk:nottec:2203
    as

    Download full text from publisher

    File URL: https://repositorioinvestigaciones.bccr.fi.cr/handle/20.500.12506/363
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Schüler, Yves S., 2018. "On the cyclical properties of Hamilton's regression filter," Discussion Papers 03/2018, Deutsche Bundesbank.
    2. James D. Hamilton, 2018. "Why You Should Never Use the Hodrick-Prescott Filter," The Review of Economics and Statistics, MIT Press, vol. 100(5), pages 831-843, December.
    3. Kristian Jönsson, 2020. "Cyclical Dynamics and Trend/Cycle Definitions: Comparing the HP and Hamilton Filters," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 16(2), pages 151-162, November.
    4. Thomas Chalaux & Yvan Guillemette, 2019. "The OECD potential output estimation methodology," OECD Economics Department Working Papers 1563, OECD Publishing.
    5. Bodnár, Katalin & Le Roux, Julien & Lopez-Garcia, Paloma & Szörfi, Béla, 2020. "The impact of COVID-19 on potential output in the euro area," Economic Bulletin Articles, European Central Bank, vol. 7.
    6. Josefine Quast & Maik H. Wolters, 2022. "Reliable Real-Time Output Gap Estimates Based on a Modified Hamilton Filter," Journal of Business & Economic Statistics, Taylor & Francis Journals, vol. 40(1), pages 152-168, January.
    7. Kanya Paramaguru, 2021. "A Comparison of Business Cycle Extraction Methods: Application to the UK," Economic Statistics Centre of Excellence (ESCoE) Discussion Papers ESCoE DP-2021-19, Economic Statistics Centre of Excellence (ESCoE).
    8. Kristian Jönsson, 2020. "Real-time US GDP gap properties using Hamilton’s regression-based filter," Empirical Economics, Springer, vol. 59(1), pages 307-314, July.
    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. Lars-H. R. Siemers, 2024. "On the Hamilton-HP Filter Controversy: Evidence from German Business Cycles," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 20(3), pages 367-409, November.
    2. Kristian Jönsson, 2025. "Comparing real-time uncertainty of the Hodrick-Prescott and Hamilton trend/cycle decompositions," Empirical Economics, Springer, vol. 69(3), pages 1335-1361, September.
    3. Melina Dritsaki & Chaido Dritsaki, 2022. "Comparison of HP Filter and the Hamilton’s Regression," Mathematics, MDPI, vol. 10(8), pages 1-18, April.
    4. Ziwei Mei & Zhentao Shi & Peter C. B. Phillips, 2022. "The boosted HP filter is more general than you might think," Cowles Foundation Discussion Papers 2348, Cowles Foundation for Research in Economics, Yale University.
    5. Błażej, Mirosław & Górajski, Mariusz & Ulrichs, Magdalena, 2025. "Microdata-based output gap estimation using business tendency surveys," Journal of Economic Dynamics and Control, Elsevier, vol. 174(C).
    6. Ziwei Mei & Peter C. B. Phillips & Zhentao Shi, 2024. "The boosted Hodrick‐Prescott filter is more general than you might think," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(7), pages 1260-1281, November.
    7. Bassi, Federico, 2024. "Excess capacity and hysteresis in EU Countries. A structural approach," Structural Change and Economic Dynamics, Elsevier, vol. 71(C), pages 116-134.
    8. Kamber, Güneş & Morley, James & Wong, Benjamin, 2025. "Trend-cycle decomposition in the presence of large shocks," Journal of Economic Dynamics and Control, Elsevier, vol. 173(C).
    9. Hartwig, Benny & Meinerding, Christoph & Schüler, Yves S., 2021. "Identifying indicators of systemic risk," Journal of International Economics, Elsevier, vol. 132(C).
    10. Viv B. Hall & Peter Thomson, 2021. "Does Hamilton’s OLS Regression Provide a “better alternative” to the Hodrick-Prescott Filter? A New Zealand Business Cycle Perspective," Journal of Business Cycle Research, Springer;Centre for International Research on Economic Tendency Surveys (CIRET), vol. 17(2), pages 151-183, November.
    11. Tore Dubbert & Adrian Schroeder, 2025. "Conditioning business and financial cycles on multivariate information," CQE Working Papers 11225, Center for Quantitative Economics (CQE), University of Muenster.
    12. Yahya, Farzan & Lee, Chien-Chiang, 2023. "Disentangling the asymmetric effect of financialization on the green output gap," Energy Economics, Elsevier, vol. 125(C).
    13. Berger, Tino & Ochsner, Christian, 2022. "Robust real-time estimates of the German output gap based on a multivariate trend-cycle decomposition," Discussion Papers 35/2022, Deutsche Bundesbank.
    14. Tomas Micko & Alexander Karsay & Zuzana Mucka & Lucia Sramkova, 2023. "Closer to Finding Yeti," Working Papers Working Paper No. 1/2023, Council for Budget Responsibility.
    15. Görtz, Christoph & Yeromonahos, Mallory, 2022. "Asymmetries in risk premia, macroeconomic uncertainty and business cycles," Journal of Economic Dynamics and Control, Elsevier, vol. 137(C).
    16. Claudio Borio, 2021. "Back to the Future: Intellectual Challenges for Monetary Policy," Economic Papers, The Economic Society of Australia, vol. 40(4), pages 273-287, December.
    17. Thiago Revil T. Ferreira & Samer Shousha, 2021. "Supply of Sovereign Safe Assets and Global Interest Rates," International Finance Discussion Papers 1315, Board of Governors of the Federal Reserve System (U.S.).
    18. Alessandro Barbarino & Travis J. Berge & Han Chen & Andrea Stella, 2020. "Which Output Gap Estimates Are Stable in Real Time and Why?," Finance and Economics Discussion Series 2020-102, Board of Governors of the Federal Reserve System (U.S.).
    19. Tommaso Proietti, 2023. "Peaks, gaps, and time‐reversibility of economic time series," Journal of Time Series Analysis, Wiley Blackwell, vol. 44(1), pages 43-68, January.
    20. Nadav Ben Zeev, 2019. "Asymmetric Business Cycles In Emerging Market Economies," Working Papers 1909, Ben-Gurion University of the Negev, Department of Economics.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C22 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
    • D24 - Microeconomics - - Production and Organizations - - - Production; Cost; Capital; Capital, Total Factor, and Multifactor Productivity; Capacity
    • E23 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Production
    • 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
    • O40 - Economic Development, Innovation, Technological Change, and Growth - - Economic Growth and Aggregate Productivity - - - 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:apk:nottec:2203. 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: Departamento de Investigación Económica (email available below). General contact details of provider: https://edirc.repec.org/data/bccrrcr.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.