Arbeitspapier

Identification and estimation of hedonic models

This paper considers the identification and estimation of hedonic models. We establish that technology and preferences in a separable version of the hedonic model are generically identified up to affine transformations from data on demand and supply in a single hedonic market. For a very general parametric structure, preferences and technology are fully identified from demand data. Much of the confusion in the empirical literature that claims that hedonic models estimated on data from a single market are fundamentally underidentified is based on linearizations that do not use all of the information in the model. The exact economic model that justifies the linear approximations has strange properties so the approximation is doubly poor. A semiparametric estimation method is proposed, and alternative estimators are considered. Instrumental variables estimators can be applied to identify technology and preference parameters from a single market even though there are no exclusion restrictions.

Sprache
Englisch

Erschienen in
Series: cemmap working paper ; No. CWP07/02

Klassifikation
Wirtschaft
Multiple or Simultaneous Equation Models: Cross-Sectional Models; Spatial Models; Treatment Effect Models; Quantile Regressions; Social Interaction Models
Thema
Hedonischer Preisindex
Modellierung
Schätztheorie
Theorie
Querschnittsanalyse
Ökonometrisches Modell

Ereignis
Geistige Schöpfung
(wer)
Ekeland, Ivar
Heckman, James J.
Nesheim, Lars
Ereignis
Veröffentlichung
(wer)
Centre for Microdata Methods and Practice (cemmap)
(wo)
London
(wann)
2002

DOI
doi:10.1920/wp.cem.2002.0702
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

  • Ekeland, Ivar
  • Heckman, James J.
  • Nesheim, Lars
  • Centre for Microdata Methods and Practice (cemmap)

Entstanden

  • 2002

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