Arbeitspapier

The fundamental properties, stability and predictive power of distributional preferences

Parsimony is a desirable feature of economic models but almost all human behaviors are characterized by vast individual variation that appears to defy parsimony. How much parsimony do we need to give up to capture the fundamental aspects of a population's distributional preferences and to maintain high predictive ability? Using a Bayesian nonparametric clustering method that makes the trade-off between parsimony and descriptive accuracy explicit, we show that three preference types-an inequality averse, an altruistic and a predominantly selfish type-capture the essence of behavioral heterogeneity. These types independently emerge in four different data sets and are strikingly stable over time. They predict out-of-sample behavior equally well as a model that permits all individuals to differ and substantially better than a representative agent model and a state-of-the-art machine learning algorithm. Thus, a parsimonious model with three stable types captures key characteristics of distributional preferences and has excellent predictive power.

Sprache
Englisch

Erschienen in
Series: Working Paper ; No. 439

Klassifikation
Wirtschaft
Personal Income, Wealth, and Their Distributions
Equity, Justice, Inequality, and Other Normative Criteria and Measurement
Econometric and Statistical Methods: Special Topics: Other
Design of Experiments: General
Thema
Distributional Preferences
Altruism
Inequality Aversion
Preference Heterogeneity
Stability
Out-of-Sample Prediction
Parsimony
Bayesian Nonparametrics

Ereignis
Geistige Schöpfung
(wer)
Fehr, Ernst
Epper, Thomas
Senn, Julien
Ereignis
Veröffentlichung
(wer)
University of Zurich, Department of Economics
(wo)
Zurich
(wann)
2023

DOI
doi:10.5167/uzh-237825
Handle
Letzte Aktualisierung
10.03.2025, 11:42 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

  • Fehr, Ernst
  • Epper, Thomas
  • Senn, Julien
  • University of Zurich, Department of Economics

Entstanden

  • 2023

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