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Estimation of heuristic switching in behavioral macroeconomic models

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    SYSNO ASEP0566494
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleEstimation of heuristic switching in behavioral macroeconomic models
    Author(s) Kukačka, Jiří (UTIA-B) RID, ORCID
    Sacht, S. (DE)
    Article number104585
    Source TitleJournal of Economic Dynamics & Control. - : Elsevier - ISSN 0165-1889
    Roč. 146, January (2023)
    Number of pages18 s.
    Publication formOnline - E
    Languageeng - English
    CountryNL - Netherlands
    KeywordsBehavioral heuristics ; Heuristic switching model ; Intensity of choice ; Simulated maximum likelihood
    Subject RIVAH - Economics
    OECD categoryApplied Economics, Econometrics
    R&D ProjectsGA20-14817S GA ČR - Czech Science Foundation (CSF)
    Method of publishingLimited access
    Institutional supportUTIA-B - RVO:67985556
    UT WOS000915237900001
    EID SCOPUS85144450704
    DOI10.1016/j.jedc.2022.104585
    AnnotationThis paper addresses the issue of empirical validation of macroeconomic models with behavioral heuristics and a nonlinear switching mechanism. Heuristic switching is an important feature of modeling strategy since it uses simple decision rules of boundedly rational heterogeneous agents. The simulation study shows that the proposed simulated maximum likelihood method well identifies behavioral effects that remain hidden under standard econometric approaches. In the empirical application, we estimate the structural and behavioral parameters of the US economy. We are specifically able to reliably identify the intensity of choice that governs the models’ nonlinear dynamics. Our empirical results thus lay the foundation for studying monetary and fiscal policy in a behavioral macroeconomic framework.
    WorkplaceInstitute of Information Theory and Automation
    ContactMarkéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.
    Year of Publishing2024
    Electronic addresshttps://www.sciencedirect.com/science/article/pii/S0165188922002883?via%3Dihub
Number of the records: 1  

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