Arbeitspapier
Engel elasticities, pseudo-maximum likelihood estimation and bootstrapped standard errors. A case study
Estimation of standard errors of Engel elasticities within the framework of a linear structural model formulated on two-wave panel data is considered. The complete demand system is characterized by measurement errors in total expenditure and by latent preference variation. The estimation of the parameters as well as the standard errors of the estimates is based on the assumption that the variables are normally distributed. Considering a concrete case it is demonstrated that normality does not hold as a maintained assumption. In the light of this standard errors are estimated by means of bootstrapping. However, one obtains rather similar estimates of the standard errors of the Engel elasticities no matter whether one sticks to classical normal inference or perform non-parametric bootstrapping.
- Sprache
-
Englisch
- Erschienen in
-
Series: Discussion Papers ; No. 532
- Klassifikation
-
Wirtschaft
Estimation: General
Semiparametric and Nonparametric Methods: General
Statistical Simulation Methods: General
Multiple or Simultaneous Equation Models: Panel Data Models; Spatio-temporal Models
Consumer Economics: Empirical Analysis
- Thema
-
Engel elasticities
standard errors
classical normal theory
bootstrapping
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Skjerpen, Terje
- Ereignis
-
Veröffentlichung
- (wer)
-
Statistics Norway, Research Department
- (wo)
-
Oslo
- (wann)
-
2008
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:43 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.
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Skjerpen, Terje
- Statistics Norway, Research Department
Entstanden
- 2008
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