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Uncertainty-driven business cycles: assessing the markup channel

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  • Born, Benjamin
  • Pfeifer, Johannes

Abstract

A growing recent literature relies on a precautionary pricing motive embedded in representative agent DSGE models with sticky prices and wages to generate negative output effects of uncertainty shocks. We assess whether this model channel is consistent with the data. We build a New Keynesian DSGE model with time-varying wage and price markups and document the predicted conditional comovement of output and markups following demand and supply uncertainty shocks. Using the model as a business cycle accounting device, we also construct aggregate markup series from the data. Time-series techniques are used to identify uncertainty shocks in the data and to study whether the conditional comovement between markups and output is consistent with the one implied by the model. The response to uncertainty shocks is found to be consistent with precautionary wage setting, but not price setting, putting the role of sticky wages into the focus.

Suggested Citation

  • Born, Benjamin & Pfeifer, Johannes, 2016. "Uncertainty-driven business cycles: assessing the markup channel," Annual Conference 2016 (Augsburg): Demographic Change 145608, Verein für Socialpolitik / German Economic Association.
  • Handle: RePEc:zbw:vfsc16:145608
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    Cited by:

    1. Ignacio Lozano-Espitia & Fernando Arias-Rodríguez & Jesus Bejarano & Andres Gonzalez & Clark Granger-Castaño & Franz Hamann & Yurany Hernández-Turca & Juan Manuel Julio-Román & Martha López & Juan C. , 2019. "La política fiscal y la estabilización macroeconómica en Colombia," Revista ESPE - Ensayos sobre Política Económica, Banco de la Republica de Colombia, issue 90, pages 1-60, April.
    2. Caggiano, Giovanni & Castelnuovo, Efrem & Pellegrino, Giovanni, 2017. "Estimating the real effects of uncertainty shocks at the Zero Lower Bound," European Economic Review, Elsevier, vol. 100(C), pages 257-272.
    3. Dlugoszek, Grzegorz, 2018. "Macroeconomic Effects of Financial Uncertainty," Annual Conference 2018 (Freiburg, Breisgau): Digital Economy 181596, Verein für Socialpolitik / German Economic Association.
    4. Fasolo, Angelo Marsiglia, 2019. "Monetary policy volatility shocks in Brazil," Economic Modelling, Elsevier, vol. 81(C), pages 348-360.
    5. Meinen, Philipp & Roehe, Oke, 2018. "To sign or not to sign? On the response of prices to financial and uncertainty shocks," Economics Letters, Elsevier, vol. 171(C), pages 189-192.
    6. Bachmann, Rüdiger & Born, Benjamin & Elstner, Steffen & Grimme, Christian, 2019. "Time-varying business volatility and the price setting of firms," Journal of Monetary Economics, Elsevier, vol. 101(C), pages 82-99.
    7. Meinen, Philipp & Roehe, Oke, 2017. "On measuring uncertainty and its impact on investment: Cross-country evidence from the euro area," European Economic Review, Elsevier, vol. 92(C), pages 161-179.
    8. Kim, Wongi, 2019. "Government spending policy uncertainty and economic activity: US time series evidence," Journal of Macroeconomics, Elsevier, vol. 61(C), pages 1-1.

    More about this item

    JEL classification:

    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E01 - Macroeconomics and Monetary Economics - - General - - - Measurement and Data on National Income and Product Accounts and Wealth; Environmental Accounts
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity

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