IDEAS home Printed from https://ideas.repec.org/p/bdr/borrec/1257.html

Inflation Expectations Measurement and its Effect on Inflation Dynamics in Colombia

Author

Listed:
  • Andres Sanchez-Jabba
  • Erick Villabon-Hinestroz
  • Bernardo Romero-Torres

Abstract

The main objective of this study is to determine whether the effect of inflation expectations on inflation dynamics in Colombia depends on the measurement of this variable. For this purpose, we estimate New-Keynesian Phillips Curves measuring expectations with data from financial markets, economic surveys, and macroeconomic models. Our findings show that a one percentage point increase in financial market expectations (BEI) leads to a median increment in inflation of 0.96 percentage points, while economic survey (QSEE) and macroeconomic model (4GM) expectations yield median effects of 0.78 and 0.50 percentage points, respectively. Possible explanations for the differences in the effect of expectations on inflation relate to asymmetric losses in forecast errors, variations in forecasting costs, rigidities in information transmission, and economic modelling limitations. **** RESUMEN: El objetivo principal de este estudio es determinar si el efecto de las expectativas de inflación en la dinámica de la inflación en Colombia depende de la medición de esta variable. Para este propósito, estimamos Curvas de Phillips Neokeynesianas midiendo las expectativas con datos de mercados financieros, encuestas económicas y modelos macroeconómicos. Nuestros resultados muestran que un aumento de un punto porcentual en las expectativas del mercado financiero (BEI) conduce a un incremento medio en la inflación de 0.96 puntos porcentuales, mientras que las expectativas de encuestas económicas (QSEE) y de modelos macroeconómicos (4GM) producen efectos medios de 0.78 y 0.50 puntos porcentuales, respectivamente. Las posibles explicaciones de estas diferencias en el efecto de las expectativas en la inflación están relacionadas con pérdidas asimétricas en los errores de pronóstico, variaciones en los costos de pronóstico, rigideces en la transmisión de información y limitaciones en la modelización económica.

Suggested Citation

  • Andres Sanchez-Jabba & Erick Villabon-Hinestroz & Bernardo Romero-Torres, 2023. "Inflation Expectations Measurement and its Effect on Inflation Dynamics in Colombia," Borradores de Economia 1257, Banco de la Republica de Colombia.
    • Handle: RePEc:bdr:borrec:1257
    DOI: 10.32468/be.1257
    as

    Download full text from publisher

    File URL: https://doi.org/10.32468/be.1257
    Download Restriction: no
    File URL: https://libkey.io/10.32468/be.1257?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. Refet S. Gürkaynak & Brian Sack & Jonathan H. Wright, 2010. "The TIPS Yield Curve and Inflation Compensation," American Economic Journal: Macroeconomics, American Economic Association, vol. 2(1), pages 70-92, January.
    2. Juan José Echavarría & Norberto Rodríguez N. & Luis Eduardo Rojas, 2013. "La meta del banco central y la persistencia de la inflación en Colombia," Investigación Conjunta-Joint Research, in: Laura Inés D'Amato & Enrique López Enciso & María Teresa Ramírez Giraldo (ed.), Dinámica inflacionaria, persistencia y formación de precios y salarios, edition 1, chapter 5, pages 117-138, Centro de Estudios Monetarios Latinoamericanos, CEMLA.
    3. James M. Nason & Gregor W. Smith, 2008. "The New Keynesian Phillips curve : lessons from single-equation econometric estimation," Economic Quarterly, Federal Reserve Bank of Richmond, vol. 94(Fall), pages 361-395.
    4. James H. Stock & Mark W. Watson, 2007. "Erratum to "Why Has U.S. Inflation Become Harder to Forecast?"," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(7), pages 1849-1849, October.
    5. Olivier Coibion & Yuriy Gorodnichenko, 2015. "Is the Phillips Curve Alive and Well after All? Inflation Expectations and the Missing Disinflation," American Economic Journal: Macroeconomics, American Economic Association, vol. 7(1), pages 197-232, January.
    6. Rudd, Jeremy & Whelan, Karl, 2005. "New tests of the new-Keynesian Phillips curve," Journal of Monetary Economics, Elsevier, vol. 52(6), pages 1167-1181, September.
    7. González-Gómez, Andrés & Guarín-López, Alexander & Rodríguez, Diego & Vargas-Herrera, Hernando, 2020. "4GM: A New Model for the Monetary Policy Analysis in Colombia," Working papers 31, Red Investigadores de Economía.
    8. Oscar Becerra & Luis Fernando Melo, 2008. "Transmisi�n de tasas de inter�s bajo el esquema de metas de inflaci�n: evidencia para Colombia," Borradores de Economia 4731, Banco de la Republica.
    9. Klaus Adam & Mario Padula, 2011. "Inflation Dynamics And Subjective Expectations In The United States," Economic Inquiry, Western Economic Association International, vol. 49(1), pages 13-25, January.
    10. Óscar Reinaldo Becerra & Luis Fernando Melo Velandia., 2009. "Transmisión de Tasas de Interés bajo el Esquema de Metas de Inflación: Evidencia para Colombia," Latin American Journal of Economics-formerly Cuadernos de Economía, Instituto de Economía. Pontificia Universidad Católica de Chile., vol. 46(133), pages 107-134.
    11. Eliana R. González-Molano & Ramón Hernández-Ortega & Edgar Caicedo-García & Nicolás Martínez-Cortés & Jose Vicente Romero & Anderson Grajales-Olarte, 2020. "Nueva Clasificación del BANREP de la Canasta del IPC y revisión de las medidas de Inflación Básica en Colombia," Borradores de Economia 1122, Banco de la Republica de Colombia.
    12. James H. Stock & Mark W. Watson, 2007. "Why Has U.S. Inflation Become Harder to Forecast?," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 39(s1), pages 3-33, February.
    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. Szafranek, Karol, 2017. "Flattening of the New Keynesian Phillips curve: Evidence for an emerging, small open economy," Economic Modelling, Elsevier, vol. 63(C), pages 334-348.
    2. Franz Xaver Zobl & Martin Ertl, 2021. "The Condemned Live Longer – New Evidence of the New Keynesian Phillips Curve in Central and Eastern Europe," Open Economies Review, Springer, vol. 32(4), pages 671-699, September.
    3. Berge, Travis J., 2018. "Understanding survey-based inflation expectations," International Journal of Forecasting, Elsevier, vol. 34(4), pages 788-801.
    4. Thomas Hasenzagl & Filippo Pellegrino & Lucrezia Reichlin & Giovanni Ricco, 2022. "A Model of the Fed's View on Inflation," The Review of Economics and Statistics, MIT Press, vol. 104(4), pages 686-704, October.
    5. Clements, Michael P., 2024. "Do professional forecasters believe in the Phillips curve?," International Journal of Forecasting, Elsevier, vol. 40(3), pages 1238-1254.
    6. Álvarez, Luis J. & Correa-López, Mónica, 2020. "Inflation expectations in euro area Phillips curves," Economics Letters, Elsevier, vol. 195(C).
    7. Rychalovska, Yuliya & Slobodyan, Sergey & Wouters, Raf, 2025. "Survey expectations, learning and inflation dynamics," European Economic Review, Elsevier, vol. 180(C).
    8. Kabundi, Alain & Poon, Aubrey & Wu, Ping, 2023. "A time-varying Phillips curve with global factors: Are global factors important?," Economic Modelling, Elsevier, vol. 126(C).
    9. Guido Ascari & Luca Fosso, 2021. "The Inflation Rate Disconnect Puzzle: On the International Component of Trend Inflation and the Flattening of the Phillips Curve," Discussion Papers 2113, Centre for Macroeconomics (CFM).
    10. Behera, Harendra Kumar & Patra, Michael Debabrata, 2022. "Measuring trend inflation in India," Journal of Asian Economics, Elsevier, vol. 80(C).
    11. Adriana Cornea‐Madeira & João Madeira, 2022. "Econometric Analysis of Switching Expectations in UK Inflation," Oxford Bulletin of Economics and Statistics, Department of Economics, University of Oxford, vol. 84(3), pages 651-673, June.
    12. Philippe Goulet Coulombe, 2024. "The macroeconomy as a random forest," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 39(3), pages 401-421, April.
    13. Hauzenberger, Niko, 2021. "Flexible Mixture Priors for Large Time-varying Parameter Models," Econometrics and Statistics, Elsevier, vol. 20(C), pages 87-108.
    14. Cepni, Oguzhan & Clements, Michael P., 2024. "How local is the local inflation factor? Evidence from emerging European countries," International Journal of Forecasting, Elsevier, vol. 40(1), pages 160-183.
    15. Pflueger, Carolin, 2025. "Back to the 1980s or not? The drivers of inflation and real risks in Treasury bonds," Journal of Financial Economics, Elsevier, vol. 167(C).
    16. repec:spo:wpmain:info:hdl:2441/784ilbkihi9tkblnh7q2514823 is not listed on IDEAS
    17. Lansing, Kevin J., 2021. "Endogenous forecast switching near the zero lower bound," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 153-169.
    18. Bańbura, Marta & Bobeica, Elena, 2023. "Does the Phillips curve help to forecast euro area inflation?," International Journal of Forecasting, Elsevier, vol. 39(1), pages 364-390.
    19. Faust, Jon & Wright, Jonathan H., 2013. "Forecasting Inflation," Handbook of Economic Forecasting, in: G. Elliott & C. Granger & A. Timmermann (ed.), Handbook of Economic Forecasting, edition 1, volume 2, chapter 0, pages 2-56, Elsevier.
    20. Randal J. Verbrugge & Saeed Zaman, 2021. "Whose Inflation Expectations Best Predict Inflation?," Economic Commentary, Federal Reserve Bank of Cleveland, vol. 2021(19), pages 1-7, October.
    21. Ciccarelli, Matteo & García, Juan Angel & Montes-Galdón, Carlos, 2017. "Unconventional monetary policy and the anchoring of inflation expectations," Working Paper Series 1995, European Central Bank.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;
    ;
    ;

    JEL classification:

    • C26 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Instrumental Variables (IV) Estimation
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation

    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:1257. 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.