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A Note on Variance Decomposition with Local Projections

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  • Yuriy Gorodnichenko
  • Byoungchan Lee

Abstract

We propose and study properties of several estimators of variance decomposition in the local-projections framework. We find for empirically relevant sample sizes that, after being bias corrected with bootstrap, our estimators perform well in simulations. We also illustrate the workings of our estimators empirically for monetary policy and productivity shocks.

Suggested Citation

  • Yuriy Gorodnichenko & Byoungchan Lee, 2017. "A Note on Variance Decomposition with Local Projections," NBER Working Papers 23998, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:23998
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    1. Christina D. Romer & David H. Romer, 2004. "A New Measure of Monetary Shocks: Derivation and Implications," American Economic Review, American Economic Association, vol. 94(4), pages 1055-1084, September.
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    Cited by:

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    2. Lodge, David & Manu, Ana-Simona, 2022. "EME financial conditions: Which global shocks matter?," Journal of International Money and Finance, Elsevier, vol. 120(C).
    3. Colin Weiss, 2020. "Contractionary Devaluation Risk: Evidence from the Free Silver Movement, 1878-1900," The Review of Economics and Statistics, MIT Press, vol. 102(4), pages 705-720, October.
    4. Joscha Beckmann & Mariarosaria Comunale, 2020. "Exchange rate fluctuations and the financial channel in emerging economies," Bank of Lithuania Working Paper Series 83, Bank of Lithuania.
    5. Zeno Enders & Franziska Hünnekes & Gernot Müller, 2022. "Firm Expectations and Economic Activity," Journal of the European Economic Association, European Economic Association, vol. 20(6), pages 2396-2439.
    6. Ilut, Cosmin & Saijo, Hikaru, 2021. "Learning, confidence, and business cycles," Journal of Monetary Economics, Elsevier, vol. 117(C), pages 354-376.
    7. Mariarosaria Comunale, 2019. "An Investigation of the Exchange Rate Pass-Through in the Baltic States," CAMA Working Papers 2019-60, Centre for Applied Macroeconomic Analysis, Crawford School of Public Policy, The Australian National University.
    8. Antoine Levy & Mr. Luca A Ricci & Alejandro M. Werner, 2020. "The Sources of Fiscal Fluctuations," IMF Working Papers 2020/220, International Monetary Fund.
    9. Choi, Chi-Young & Chudik, Alexander, 2019. "Estimating impulse response functions when the shock series is observed," Economics Letters, Elsevier, vol. 180(C), pages 71-75.
    10. Jason Lennard, 2020. "Uncertainty and the Great Slump," Economic History Review, Economic History Society, vol. 73(3), pages 844-867, August.
    11. repec:zbw:bofitp:2021_011 is not listed on IDEAS
    12. Pierluigi Balduzzi & Emanuele Brancati & Marco Brianti & Fabio Schiantarelli, 2019. "Populism, Political Risk and the Economy: Lessons from Italy," Boston College Working Papers in Economics 989, Boston College Department of Economics, revised 28 Apr 2020.
    13. Joscha Beckmann & Mariarosaria Comunale, 2020. "Exchange rate fluctuations and the financial channel in emerging economies," Bank of Lithuania Working Paper Series 83, Bank of Lithuania.
    14. Ben Zeev, Nadav, 2019. "Global credit supply shocks and exchange rate regimes," Journal of International Economics, Elsevier, vol. 116(C), pages 1-32.
    15. Ziegenbein, Alexander, 2021. "Macroeconomic shocks and Okun’s Law," Economics Letters, Elsevier, vol. 202(C).

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    More about this item

    JEL classification:

    • C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
    • 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

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