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SVAR Approach for Extracting Inflation Expectations Given Severe Monetary Shocks: Evidence from Belarus

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  • Dzmitry Kruk

Abstract

Inflation expectations play a crucial role for macroeconomic dynamics and more specifically for monetary environment. However, inflation expectations is an unobservable variable. So, the quality of the correspondent measure in a great extent predetermines its feasibility for macroeconomic analysis. Today, survey-based measures of inflation expectations prevail in macroeconomic analysis. However, the drawbacks and/or unavailability of such measures give a rise to other identification strategies. Extracting inflation expectations from the actual data (e.g. series of interest rate and actual inflation) basing on SVAR identification approach has become a valuable alternative/supplement for measuring inflation expectations. In this paper I show that the existing strategy of inflation expectations identification through SVAR approach is very sensitive to the state of monetary environment. When a monetary environment is unstable (e.g. high and volatile inflation), the assumptions of the baseline approach are not hold, and it produces biased estimations. I emphasize two sources of this bias in estimations and suggest procedure for obtaining unbiased estimates. My identification strategy includes a number of steps. I suggest applying Markov regimeswitching framework for extracting an unbiased mean for ex ante real interest rate. Further, I use two-stage SVAR identification strategy. First, I identify an unexpected shock to actual inflation, which is crucial for obtaining a proper measure of inflation expectations. Further, I net the series of ex post interest rate from this ?noise?. Second, I run a baseline SVAR procedure, for which I use the data adjusted at the first step. Finally I obtain an unbiased and informatively rich series of inflation expectations.

Suggested Citation

  • Dzmitry Kruk, 2016. "SVAR Approach for Extracting Inflation Expectations Given Severe Monetary Shocks: Evidence from Belarus," BEROC Working Paper Series 39, Belarusian Economic Research and Outreach Center (BEROC).
    • Handle: RePEc:bel:wpaper:39
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    Cited by:

    1. Amat Adarov & Kateryna Bornukova & Rumen Dobrinsky & Peter Havlik & Gabor Hunya & Dzmitry Kruk & Olga Pindyuk, 2016. "The Belarus Economy: The Challenges of Stalled Reforms," wiiw Research Reports 413, The Vienna Institute for International Economic Studies, wiiw.

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    More about this item

    Keywords

    inflation expectations; monetary shock; SVAR identification; Markov regime-switching model; Belarus;
    All these 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
    • C32 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes; State Space Models
    • C82 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Macroeconomic Data; Data Access
    • E43 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Interest Rates: Determination, Term Structure, and Effects
    • E47 - Macroeconomics and Monetary Economics - - Money and Interest Rates - - - Forecasting and Simulation: Models and Applications

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