Arbeitspapier

Assessing misspecification and aggregation for structured preferences

Applied research often tolerates misspecification in order to reach informative conclusions. We focus on how the degree of misspecification varies with the level of aggregation of data for quasilinear utility models. We present aggregation results formalizing that the model cannot get worse when aggregating. Using scanner data, we find that while all individuals are inconsistent with a quasilinear utility model, we cannot refute the hypothesis that a representative agent is a quasilinear utility maximizer. This provides evidence that deviations from a quasilinear model may average away.

Language
Englisch

Bibliographic citation
Series: Research Report ; No. 2019-4

Classification
Wirtschaft
Subject
Nutzenmaximierung
Theorie
Modellierung

Event
Geistige Schöpfung
(who)
Allen, Roy E.
Rehbeck, John
Event
Veröffentlichung
(who)
The University of Western Ontario, Department of Economics
(where)
London (Ontario)
(when)
2019

Handle
Last update
10.03.2025, 11:45 AM CET

Data provider

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Object type

  • Arbeitspapier

Associated

  • Allen, Roy E.
  • Rehbeck, John
  • The University of Western Ontario, Department of Economics

Time of origin

  • 2019

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