Arbeitspapier
Semi-parametric models for satisfaction with income
An overview is presented of some parametric and semi-parametric models, estimators, and specification tests that can be used to analyze ordered response variables. In particular, limited dependent variable models that generalize ordered probit are compared to regression models that generalize the linear model. These techniques are then applied to analyze how self-reported satisfaction with household income relates to household income, family composition, and other background variables. Data are drawn from the 1998 wave of the German Socio- Economic Panel. The results are used to estimate equivalence scales and the cost of children. We find that the standard ordered probit model is rejected, while some semi-parametric specifications survive specification tests against nonparametric alternatives. The estimated equivalence scales, however, are often similar for the parametric and semi-parametric specifications.
- Sprache
-
Englisch
- Erschienen in
-
Series: cemmap working paper ; No. CWP12/02
- Klassifikation
-
Wirtschaft
Semiparametric and Nonparametric Methods: General
Multiple or Simultaneous Equation Models: Discrete Regression and Qualitative Choice Models; Discrete Regressors; Proportions
Consumer Economics: Empirical Analysis
- Thema
-
Semi–parametric estimation , Ordered Response , Equivalence scales
Nichtparametrisches Verfahren
Schätzung
Disparitätsmaß
Theorie
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Bellemare, Charles
Melenberg, Bertrand
van Soest, Arthur
- Ereignis
-
Veröffentlichung
- (wer)
-
Centre for Microdata Methods and Practice (cemmap)
- (wo)
-
London
- (wann)
-
2002
- DOI
-
doi:10.1920/wp.cem.2002.1202
- Handle
- Letzte Aktualisierung
-
20.09.2024, 08:22 MESZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Bellemare, Charles
- Melenberg, Bertrand
- van Soest, Arthur
- Centre for Microdata Methods and Practice (cemmap)
Entstanden
- 2002
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