EconPapers    
Economics at your fingertips  
 

Optimal policy with general signal extraction

Esther Hauk, Andrea Lanteri and Albert Marcet

Journal of Monetary Economics, 2021, vol. 118, issue C, 54-86

Abstract: Most available results on optimal decisions under partial information are derived under “separation”. But this principle does not always hold. We derive a non-standard first order condition of optimality from first principles when signal extraction and optimal policy must be jointly determined. This allows us to solve a model of optimal fiscal policy where separation does not apply. Tax smoothing prevails in normal times, but taxes respond strongly in recessions. This non-linearity arises because signal extraction interacts differently with optimal policy depending on the value of the observed signals. Existing results based on the “separation principle” follow as special cases.

Keywords: Optimal policy; Partial information; Calculus of variations; Fiscal policy (search for similar items in EconPapers)
JEL-codes: D80 E62 H21 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0304393221000027
Full text for ScienceDirect subscribers only

Related works:
Working Paper: Optimal Policy with General Signal Extraction (2016) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:moneco:v:118:y:2021:i:c:p:54-86

DOI: 10.1016/j.jmoneco.2021.01.002

Access Statistics for this article

Journal of Monetary Economics is currently edited by R. G. King and C. I. Plosser

More articles in Journal of Monetary Economics from Elsevier
Bibliographic data for series maintained by Catherine Liu ().

 
Page updated 2025-04-10
Handle: RePEc:eee:moneco:v:118:y:2021:i:c:p:54-86