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  1. Estimating HANK for central banks
    Published: [2023]
    Publisher:  Federal Reserve Bank of New York, [New York, NY]

    We provide a toolkit for efficient online estimation of heterogeneous agent (HA) New Keynesian (NK) models based on Sequential Monte Carlo methods. We use this toolkit to compare the out-of-sample forecasting accuracy of a prominent HANK model, Bayer... more

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    ZBW - Leibniz-Informationszentrum Wirtschaft, Standort Kiel
    DS 207
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    We provide a toolkit for efficient online estimation of heterogeneous agent (HA) New Keynesian (NK) models based on Sequential Monte Carlo methods. We use this toolkit to compare the out-of-sample forecasting accuracy of a prominent HANK model, Bayer et al. (2022), to that of the representative agent (RA) NK model of Smets and Wouters (2007, SW). We find that HANK's accuracy for real activity variables is notably inferior to that of SW. The results for consumption in particular are disappointing since the main difference between RANK and HANK is the replacement of the RA Euler equation with the aggregation of individual households' consumption policy functions, which reflects inequality.

     

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    Source: Union catalogues
    Language: English
    Media type: Book
    Format: Online
    Other identifier:
    hdl: 10419/284031
    Series: Staff reports / Federal Reserve Bank of New York ; no. 1071 (August 2023)
    Subjects: HANK; Bayesian inference; sequential Monte Carlo methods
    Scope: 1 Online-Ressource (circa 37 Seiten), Illustrationen