IDEAS home Printed from https://ideas.repec.org/
MyIDEAS: Log in (now much improved!) to save this article

What affects the predictions of private forecasters? The role of central bank forecasts in Chile

Listed author(s):
  • Pedersen, Michael

This study utilizes Chilean data for analyzing the factors that affect the expectations of private forecasters (PFs), and, in particular, for determining whether they are influenced by the Central Bank of Chile’s (CBC’s) forecasts. Robust evidence suggests that short-term inflation expectations are influenced directly by the CBC’s forecasts, while the evidence is weaker for medium-term predictions. This is the case even though the CBC’s short-term inflation forecasts do not seem to contain any additional information that is of use for PFs when making their predictions. PFs’ short-term growth expectations seem to incorporate the CBC’s forecasts only when they are published in the second half of the year, when the CBC may have private information, e.g., about future data revisions.

If you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.

File URL: http://www.sciencedirect.com/science/article/pii/S0169207015000138
Download Restriction: Full text for ScienceDirect subscribers only

As the access to this document is restricted, you may want to look for a different version under "Related research" (further below) or search for a different version of it.

Article provided by Elsevier in its journal International Journal of Forecasting.

Volume (Year): 31 (2015)
Issue (Month): 4 ()
Pages: 1043-1055

as
in new window

Handle: RePEc:eee:intfor:v:31:y:2015:i:4:p:1043-1055
DOI: 10.1016/j.ijforecast.2015.01.004
Contact details of provider: Web page: http://www.elsevier.com/locate/ijforecast

References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:

as
in new window


  1. Jacob A. Mincer & Victor Zarnowitz, 1969. "The Evaluation of Economic Forecasts," NBER Chapters,in: Economic Forecasts and Expectations: Analysis of Forecasting Behavior and Performance, pages 3-46 National Bureau of Economic Research, Inc.
  2. Faust, Jon & Svensson, Lars E O, 2001. "Transparency and Credibility: Monetary Policy with Unobservable Goals," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 42(2), pages 369-397, May.
  3. Dovern, Jonas & Weisser, Johannes, 2011. "Accuracy, unbiasedness and efficiency of professional macroeconomic forecasts: An empirical comparison for the G7," International Journal of Forecasting, Elsevier, vol. 27(2), pages 452-465.
  4. Clements, Michael P., 2010. "Explanations of the inconsistencies in survey respondents' forecasts," European Economic Review, Elsevier, vol. 54(4), pages 536-549, May.
  5. David H. Romer & Christina D. Romer, 2000. "Federal Reserve Information and the Behavior of Interest Rates," American Economic Review, American Economic Association, vol. 90(3), pages 429-457, June.
  6. Faust, Jon & Svensson, Lars E O, 2002. "The Equilibrium Degree of Transparency and Control in Monetary Policy," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 34(2), pages 520-539, May.
  7. Engelberg, Joseph & Manski, Charles F. & Williams, Jared, 2009. "Comparing the Point Predictions and Subjective Probability Distributions of Professional Forecasters," Journal of Business & Economic Statistics, American Statistical Association, vol. 27, pages 30-41.
  8. N. Gregory Mankiw & Ricardo Reis, 2002. "Sticky Information versus Sticky Prices: A Proposal to Replace the New Keynesian Phillips Curve," The Quarterly Journal of Economics, Oxford University Press, vol. 117(4), pages 1295-1328.
  9. Michael Ehrmann & Sylvester Eijffinger & Marcel Fratzscher, 2012. "The Role of Central Bank Transparency for Guiding Private Sector Forecasts," Scandinavian Journal of Economics, Wiley Blackwell, vol. 114(3), pages 1018-1052, 09.
  10. Carlos Capistrán & Allan Timmermann, 2009. "Disagreement and Biases in Inflation Expectations," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 41(2-3), pages 365-396, 03.
  11. Clements, Michael P., 2012. "Do professional forecasters pay attention to data releases?," International Journal of Forecasting, Elsevier, vol. 28(2), pages 297-308.
  12. Petra M. Geraats, 2006. "Transparency of Monetary Policy: Theory and Practice," CESifo Economic Studies, CESifo, vol. 52(1), pages 111-152, March.
  13. Michael Pedersen, 2013. "Extracting GDP signals from the monthly indicator of economic activity: Evidence from Chilean real-time data," OECD Journal: Journal of Business Cycle Measurement and Analysis, OECD Publishing, Centre for International Research on Economic Tendency Surveys, vol. 2013(1), pages 1-16.
  14. H. Bakhshi & G. Kapetanios & T. Yates, 2005. "Rational expectations and fixed-event forecasts: An application to UK inflation," Empirical Economics, Springer, vol. 30(3), pages 539-553, October.
  15. Elías Albagli & Gabriela Contreras & Pablo García & Igal Magendzo & Rodrigo Valdés, 2003. "Errores de Proyección en Perspectiva," Working Papers Central Bank of Chile 199, Central Bank of Chile.
  16. Batchelor, Roy, 2007. "Bias in macroeconomic forecasts," International Journal of Forecasting, Elsevier, vol. 23(2), pages 189-203.
  17. Swidler, Steve & Ketcher, David, 1990. "Economic Forecasts, Rationality, and the Processing of New Information over Time," Journal of Money, Credit and Banking, Blackwell Publishing, vol. 22(1), pages 65-76, February.
  18. Cukierman, Alex & Meltzer, Allan H, 1986. "A Theory of Ambiguity, Credibility, and Inflation under Discretion and Asymmetric Information," Econometrica, Econometric Society, vol. 54(5), pages 1099-1128, September.
  19. Fujiwara, Ippei, 2005. "Is the central bank's publication of economic forecasts influential?," Economics Letters, Elsevier, vol. 89(3), pages 255-261, December.
  20. Jakob de Haan & David-Jan Jansen, 2007. "The Importance of Being Vigilant: Has ECB Communication Influenced Euro Area Inflation Expectations?," CESifo Working Paper Series 2134, CESifo Group Munich.
  21. Lahiri, Kajal & Sheng, Xuguang, 2008. "Evolution of forecast disagreement in a Bayesian learning model," Journal of Econometrics, Elsevier, vol. 144(2), pages 325-340, June.
  22. Christopher D. Carroll, 2003. "Macroeconomic Expectations of Households and Professional Forecasters," The Quarterly Journal of Economics, Oxford University Press, vol. 118(1), pages 269-298.
  23. Gianna Boero & Jeremy Smith & Kenneth F. Wallis, 2008. "Here is the News: Forecast Revisions in the Bank of England Survey of External Forecasters," National Institute Economic Review, National Institute of Economic and Social Research, vol. 203(1), pages 68-77, January.
  24. Petra M. Geraats, 2002. "Central Bank Transparency," Economic Journal, Royal Economic Society, vol. 112(483), pages 532-565, November.
  25. Davies, Anthony & Lahiri, Kajal, 1995. "A new framework for analyzing survey forecasts using three-dimensional panel data," Journal of Econometrics, Elsevier, vol. 68(1), pages 205-227, July.
  26. Keane, Michael P & Runkle, David E, 1990. "Testing the Rationality of Price Forecasts: New Evidence from Panel Data," American Economic Review, American Economic Association, vol. 80(4), pages 714-735, September.
  27. Roy Batchelor, 2007. "Forecaster Behaviour and Bias in Macroeconomic Forecasts," ifo Working Paper Series Ifo Working Paper No. 39, ifo Institute - Leibniz Institute for Economic Research at the University of Munich.
  28. N. Gregory Mankiw & Ricardo Reis, 2001. "Sticky Information: A Model of Monetary Nonneutrality and Structural Slumps," NBER Working Papers 8614, National Bureau of Economic Research, Inc.
  29. Nordhaus, William D, 1987. "Forecasting Efficiency: Concepts and Applications," The Review of Economics and Statistics, MIT Press, vol. 69(4), pages 667-674, November.
  30. Lahiri, Kajal & Sheng, Xuguang, 2010. "Learning and heterogeneity in GDP and inflation forecasts," International Journal of Forecasting, Elsevier, vol. 26(2), pages 265-292, April.
  31. Oya Celasun & Lev Ratnovski & Roxana Mihet, 2012. "Commodity Prices and Inflation Expectations in the United States," IMF Working Papers 12/89, International Monetary Fund.
  32. Hommes, Cars H., 2006. "Heterogeneous Agent Models in Economics and Finance," Handbook of Computational Economics,in: Leigh Tesfatsion & Kenneth L. Judd (ed.), Handbook of Computational Economics, edition 1, volume 2, chapter 23, pages 1109-1186 Elsevier.
  33. Michael Pedersen, 2010. "Una nota introductoria a la encuesta de Expectativas Económicas," Economic Statistics Series 82, Central Bank of Chile.
Full references (including those not matched with items on IDEAS)

This item is not listed on Wikipedia, on a reading list or among the top items on IDEAS.

When requesting a correction, please mention this item's handle: RePEc:eee:intfor:v:31:y:2015:i:4:p:1043-1055. See general information about how to correct material in RePEc.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Dana Niculescu)

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 references are entirely missing, you can add them using this form.

If the full references list an item that is present in RePEc, but the system did not link 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 profile, as there may be some citations waiting for confirmation.

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

This information is provided to you by IDEAS at the Research Division of the Federal Reserve Bank of St. Louis using RePEc data.