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Characterizing the Anchoring Effects of Official Forecasts on Private Expectations

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  • Barrera, Carlos

Abstract

The paper proposes a method for simultaneously estimating the treatment effects of a change in a policy variable on a numerable set of interrelated outcome variables (different moments from the same probability density function). Firstly, it defines a non-Gaussian probability density function as the outcome variable. Secondly, it uses a functional regression to explain the density in terms of a set of scalar variables. From both the observed and the fitted probability density functions, two sets of interrelated moments are then obtained by simulation. Finally, a set of difference-in-difference estimators can be defined from the available pairs of moments in the sample. A stylized application provides a 29-moment characterization of the direct treatment effects of the Peruvian Central Bank’s forecasts on two sequences of Peruvian firms’ probability densities of expectations (for inflation −π− and real growth −g−) during 2004-2015.

Suggested Citation

  • Barrera, Carlos, 2022. "Characterizing the Anchoring Effects of Official Forecasts on Private Expectations," MPRA Paper 114258, University Library of Munich, Germany.
  • Handle: RePEc:pra:mprapa:114258
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    References listed on IDEAS

    as
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    8. repec:pri:cepsud:161blinder is not listed on IDEAS
    9. Jan Filáček & Branislav Saxa, 2012. "Central Bank Forecasts as a Coordination Device: Evidence from the Czech Republic," Czech Economic Review, Charles University Prague, Faculty of Social Sciences, Institute of Economic Studies, vol. 6(3), pages 244-264, October.
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    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    C15; C30; E37; E47; E58; G14.;
    All these keywords.

    JEL classification:

    • C15 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Statistical Simulation Methods: General
    • C30 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - General
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications
    • E58 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Central Banks and Their Policies
    • G14 - Financial Economics - - General Financial Markets - - - Information and Market Efficiency; Event Studies; Insider Trading

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