Barrera, Carlos (2022): Les Prévisions des Prévisionnistes Professionnels? Perou, 2009-2017.
Preview |
PDF
MPRA_paper_114420.pdf Download (516kB) | Preview |
Abstract
This paper studies the sluggish adjustment of professional forecasters' forecasts. It starts from the model proposed by Jain(2012,2018) and then it corrects a small error in a derivation step of the first-order conditions associated with her sequential optimization problems. This allows to extend her model to consider a set of initial (a priori) announced forecasts and a discount rate as relevant parameters, as well as to increase the maximum forecasting horizon from H = 4 quarters to an arbitrarily greater integer (e.g., H = 24 months). The extended model's parameters are estimated with the announced inflation forecasts provided by professional forecasters to Consensus Economics, Inc. for the Peruvian economy (2009-2017). We find that few professional forecasters consider the goal of forecast precision as important for their announced forecasts. These results underline the relevance of determining which of these 'forecasters' really behave as forecasters, in the sense of giving due importance to the goal of forecast precision.
Item Type: | MPRA Paper |
---|---|
Original Title: | Les Prévisions des Prévisionnistes Professionnels? Perou, 2009-2017 |
English Title: | Professional Forecasters' Expectations? Peru, 2009-2017 |
Language: | French |
Keywords: | E31, E37 |
Subjects: | E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E31 - Price Level ; Inflation ; Deflation E - Macroeconomics and Monetary Economics > E3 - Prices, Business Fluctuations, and Cycles > E37 - Forecasting and Simulation: Models and Applications |
Item ID: | 114420 |
Depositing User: | Dr. Carlos Barrera-Chaupis |
Date Deposited: | 03 Sep 2022 11:29 |
Last Modified: | 05 Sep 2022 17:32 |
References: | Andrade, Philippe & Herve Le Bihan (2013) Inattentive Professional Forecasters, Journal of Monetary Economics, 60(8), 967-982. Batchelor, Roy (2007) Bias in Macroeconomic Forecasts, International Journal of Forecasting, 23(2), 189-203. Bennett, Paul ; In Sun Geoum & David Laster (1999) Rational Bias in Macroeconomic Forecasts, Quarterly Journal of Economics, 114(1), 293-318. Cameron, Colin & Pravin Trivedi (2005) Microeconometrics : Methods and Applications, Cambridge University Press. Christiano, Lawrence ; Martin Eichenbaum & Charlie Evans (2005) Nominal Rigidities and the Dynamic Effects of a Shock to Monetary Policy, Journal of Political Economy, 113(1), 1-45. Coibion, Olivier & Yuriy Gorodnichenko (2015) Information Rigidity and the Expectations Formation Process : A Simple Framework and New Facts, American Economic Review, 105(8), 2644-2678. Ehrbeck, Tilman & Robert Waldman (1996) Why Are Professional Forecasters Biased ? Agency versus Behavioral Explanations, Quarterly Journal of Economics, 111(1), 21-40 (febrero). Gramlich, Edward (1983) Models of inflation expectations formation : A comparison of household and economist forecasts, Journal of Money, Credit and Banking, 15(2), 155-173. Jain, Monica (2012) Measuring Forecasters’ Perceptions on Inflation Persistence, PhD Thesis, Department of Economics, Queen’s University, Kingston, Ontario, Canadá. Jain, Monica (2018) Sluggish Forecasts, Bank of Canada Staff Working Papers 2018-39 (Agosto). Mankiw, Gregory ; Ricardo Reis & Justin Wolfers (2004) Disagreement about Inflation Expectations, NBER Macroeconomics Annual 2003, 18, 209-270. Mertens, Elmar & James Nason (2015) Inflation and Professional Forecast Dynamics : An Evaluation of Stickiness, Persistence and Volatility, BIS Working Papers No. 713, Bank for International Settlements. Nodhaus, William (1987) Forecasting Efficiency : Concepts and Applications, Review of Economics and Statistics, 69(4), 667-674. Smets, Frank & Raf Wouters (2003) An Estimated Dynamic Stochastic General Equilibrium Model of the Euro Area, Journal of the European Economic Association, 1(5), 1123-1175 (setiembre). |
URI: | https://mpra.ub.uni-muenchen.de/id/eprint/114420 |