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Same, but different: Testing monetary policy shock measures

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  • Ettmeier, Stephanie
  • Kriwoluzky, Alexander

Abstract

In this study, we test whether three popular measures for monetary policy, that is, Romer and Romer (2004), Barakchian and Crowe (2013), and Gertler and Karadi (2015), constitute suitable proxy variables for monetary policy shocks. To this end, we employ different test statistics used in the literature to detect weak proxy variables. We find that the measure derived by Gertler and Karadi (2015) is the most suitable in this regard.

Suggested Citation

  • Ettmeier, Stephanie & Kriwoluzky, Alexander, 2017. "Same, but different: Testing monetary policy shock measures," IWH Discussion Papers 9/2017, Halle Institute for Economic Research (IWH).
    • Handle: RePEc:zbw:iwhdps:92017
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    21. Virgiliu Midrigan, 2011. "Menu Costs, Multiproduct Firms, and Aggregate Fluctuations," Econometrica, Econometric Society, vol. 79(4), pages 1139-1180, July.
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    Cited by:

    1. Pizzuto, Pietro, 2020. "Regional effects of monetary policy in the U.S.: An empirical re-assessment," Economics Letters, Elsevier, vol. 190(C).

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    More about this item

    Keywords

    monetary policy shock measures; Proxy-SVAR; weak proxies; F-test;
    All these keywords.

    JEL classification:

    • C12 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Hypothesis Testing: General
    • 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
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E52 - Macroeconomics and Monetary Economics - - Monetary Policy, Central Banking, and the Supply of Money and Credit - - - Monetary Policy

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