Arbeitspapier

Heterogeneity in macroeconomics and the minimal econometricinterpretation for model comparison

This paper formally compares the fit of various versions of the incomplete markets model with aggregate uncertainty, relying on a simple Bayesian empirical framework. The models differ in the degree of households' heterogeneity, with a focus on the role of preferences. For every specification, empirically motivated priors for the parameters are postulated to obtain the models' predictive distributions, which are interpreted as being the distributions of population moments. These are in turn contrasted with the posterior distributions of the same moments obtained from an atheoretical (Bayesian) econometric model. It is shown that aggregate data on consumption and income contain valuable information to determine which models are more likely to have generated the data. In particular, despite its generality, a model with both risk aversion and discount factor heterogeneity displays a very low marginal likelihood, and should not be employed for the design of macroeconomic policies and welfare analysis. It is also found that the other models display similar posterior odds, with the Bayes factors ranging between 1 and 3. Finally, it is shown that practitioners in the field should carefully calibrate the values of the unemployment rate in booms and expansions, as they heavily affect the autocorrelation of aggregate consumption and the correlation between consumption and income. This finding suggests that the magnitude of welfare effects computations is likely to be influenced considerably by these two parameters.

Sprache
Englisch

Erschienen in
Series: Queen's Economics Department Working Paper ; No. 1333

Klassifikation
Wirtschaft
Computational Techniques; Simulation Modeling
Computable General Equilibrium Models
Macroeconomics: Consumption; Saving; Wealth
Business Fluctuations; Cycles
Incomplete Markets
Computable and Other Applied General Equilibrium Models
Thema
Heterogeneous Agents
Incomplete Markets
Unemployment Risk
Business Cycles
Bayesian Methods
Calibration
Minimal Econometric Intepretation
Model Comparison

Ereignis
Geistige Schöpfung
(wer)
Cozzi, Marco
Ereignis
Veröffentlichung
(wer)
Queen's University, Department of Economics
(wo)
Kingston (Ontario)
(wann)
2014

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

  • Arbeitspapier

Beteiligte

  • Cozzi, Marco
  • Queen's University, Department of Economics

Entstanden

  • 2014

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