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Are uncertainty shocks aggregate demand shocks?

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  • Fasani, Stefano
  • Rossi, Lorenza

Abstract

This note considers the Leduc and Liu (JME, 2016) model and studies the effects of their uncertainty shock under different Taylor-type rules. It shows that both the responses of real and nominal variables highly depend on the Taylor rule considered. Remarkably, inflation reacts positively so that uncertainty shocks look more like negative supply shocks, once an empirically plausible degree of interest rate smoothing is taken into account. This result is reinforced with less reactive monetary rules. Overall, these rules alleviate the recession.

Suggested Citation

  • Fasani, Stefano & Rossi, Lorenza, 2018. "Are uncertainty shocks aggregate demand shocks?," Economics Letters, Elsevier, vol. 167(C), pages 142-146.
    • Handle: RePEc:eee:ecolet:v:167:y:2018:i:c:p:142-146
    DOI: 10.1016/j.econlet.2018.03.029
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    More about this item

    Keywords

    Uncertainty shocks; DSGE model; Search and matching frictions; Taylor rules; Inflation dynamics;
    All these keywords.

    JEL classification:

    • E12 - Macroeconomics and Monetary Economics - - General Aggregative Models - - - Keynes; Keynesian; Post-Keynesian; Modern Monetary Theory
    • E21 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Consumption; Saving; Wealth
    • E22 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Investment; Capital; Intangible Capital; Capacity
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • E31 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Price Level; Inflation; Deflation
    • 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

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