1. Does demand noise matter? Identification and implications
- Author
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Kenza Benhima, Céline Poilly, Université de Lausanne (UNIL), Center for Economic Policy Research (CEPR), CEPR, Aix-Marseille Sciences Economiques (AMSE), École des hautes études en sciences sociales (EHESS)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS)-Aix Marseille Université (AMU), This research was funded by an FNS research grant, Project #100018_150068. This work was supported by French National Research Agency Grant ANR-17-EURE-0020., ANR-17-EURE-0020,AMSE (EUR),Aix-Marseille School of Economics(2017), École des hautes études en sciences sociales (EHESS)-Aix Marseille Université (AMU)-École Centrale de Marseille (ECM)-Centre National de la Recherche Scientifique (CNRS), and Université de Lausanne = University of Lausanne (UNIL)
- Subjects
Inflation ,Economics and Econometrics ,JEL: E - Macroeconomics and Monetary Economics/E.E3 - Prices, Business Fluctuations, and Cycles/E.E3.E32 - Business Fluctuations • Cycles ,media_common.quotation_subject ,Pessimism ,information friction ,JEL: E - Macroeconomics and Monetary Economics/E.E3 - Prices, Business Fluctuations, and Cycles/E.E3.E31 - Price Level • Inflation • Deflation ,business cycle ,Optimism ,0502 economics and business ,Econometrics ,Economics ,Business cycle ,SVAR with sign restriction ,050207 economics ,JEL: C - Mathematical and Quantitative Methods/C.C3 - Multiple or Simultaneous Equation Models • Multiple Variables/C.C3.C32 - Time-Series Models • Dynamic Quantile Regressions • Dynamic Treatment Effect Models • Diffusion Processes • State Space Models ,Private information retrieval ,050205 econometrics ,media_common ,05 social sciences ,Monetary policy ,[SHS.ECO]Humanities and Social Sciences/Economics and Finance ,Noise ,Identification (information) ,noise shock ,8. Economic growth ,JEL: D - Microeconomics/D.D8 - Information, Knowledge, and Uncertainty/D.D8.D82 - Asymmetric and Private Information • Mechanism Design ,Finance - Abstract
International audience; We assess the role of demand noise (excessive optimism or pessimism about demand) together with supply noise (excessive optimism or pessimism about supply). To do so, we propose a methodology to decompose business cycles into supply, demand, supply noise and demand noise shocks, using a structural vector autoregression model. Key to our identification of both supply noise and demand noise is the use of sign restrictions on survey expectation errors about output growth and about inflation. We show that demand-related noise shocks have a negative effect on output and contribute substantially to its fluctuations. Monetary policy and private information seem to play a key role in the transmission of demand noise shocks.
- Published
- 2021