Artikel

Assessing the Impacts of Non-Ricardian Households in an Estimated New Keynesian DSGE Model

A New Keynesian DSGE model with non-Ricardian households is estimated for the Portuguese economy and the stability of the model’s prediction (posterior distributions, impulse responses, and sources of fluctuations in endogenous variables) tested under different assumptions on non-Ricardian households. Their share is estimated to be relatively high (58 %). Furthermore, estimates of several parameters as well as the magnitude and persistence of shocks are particularly sensitive to the share of non-Ricardian households. Impulse responses to consumption preference and productivity shocks are amplified for lower shares;for greater proportions, the model predicts more noticeable responses to price markup and government spending shocks. Fluctuations in output growth are mainly driven by productivity shocks for a lower share and by price markup shocks in the opposite scenario. A high proportion of these households together with a high degree of price stickiness lead the Taylor-type interest rate rule solution to be locally indeterminate.

Sprache
Englisch

Erschienen in
Journal: Swiss Journal of Economics and Statistics ; ISSN: 2235-6282 ; Volume: 150 ; Year: 2014 ; Issue: 4 ; Pages: 353-398 ; Heidelberg: Springer

Klassifikation
Wirtschaft
Bayesian Analysis: General
General Aggregative Models: Keynes; Keynesian; Post-Keynesian
Prices, Business Fluctuations, and Cycles: Forecasting and Simulation: Models and Applications
Monetary Policy
Fiscal Policy
Thema
DSGE
New Keynesian model
non-Ricardian households
Bayesian inference
Portugal

Ereignis
Geistige Schöpfung
(wer)
Marto, Ricardo
Ereignis
Veröffentlichung
(wer)
Springer
(wo)
Heidelberg
(wann)
2014

DOI
doi:10.1007/BF03399411
Handle
Letzte Aktualisierung
10.03.2025, 11:44 MEZ

Datenpartner

Dieses Objekt wird bereitgestellt von:
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.

Objekttyp

  • Artikel

Beteiligte

  • Marto, Ricardo
  • Springer

Entstanden

  • 2014

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