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Learning And The Size Of The Government Spending Multiplier

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  • Quaghebeur, Ewoud

Abstract

This paper examines the government spending multiplier when economic agents combine adaptive learning and knowledge about future fiscal policy to form their expectations. The analysis shows that the effects of a government spending shock substantially change when the rational expectations hypothesis is replaced by this learning mechanism. In contrast to the dynamics under rational expectations, a government spending shock in a small-scale new Keynesian DSGE model with learning crowds in private consumption and is associated with a positive comovement between real wages and hours worked. In the baseline calibration, the output multiplier under learning is above one and about twice as large as under rational expectations.

Suggested Citation

  • Quaghebeur, Ewoud, 2019. "Learning And The Size Of The Government Spending Multiplier," Macroeconomic Dynamics, Cambridge University Press, vol. 23(8), pages 3189-3224, December.
  • Handle: RePEc:cup:macdyn:v:23:y:2019:i:8:p:3189-3224_6
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    3. Huang, Kevin X.D. & Liu, Fengqi & Meng, Qinglai & Xue, Jianpo, 2022. "Keeping up with the Joneses and the consumption response to government spending," Economics Letters, Elsevier, vol. 220(C).

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    More about this item

    JEL classification:

    • E62 - Macroeconomics and Monetary Economics - - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook - - - Fiscal Policy; Modern Monetary Theory
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
    • D84 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Expectations; Speculations
    • E32 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Business Fluctuations; Cycles
    • E37 - Macroeconomics and Monetary Economics - - Prices, Business Fluctuations, and Cycles - - - Forecasting and Simulation: Models and Applications

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