Arbeitspapier

Regression and contrast estimated based on adaptive regressograms depending on qualitative explanatory variables

This methodological paper discusses the application of 'adaptive' non-parametric procedures for estimating regression functions or contrasts in situations with quantitative regressands and qualitative regressors. We propose to apply an adaptive regressogram, that is the selection of a regressogram estimate among the class of regressograms corresponding to all possible partitions of the regressor range. Our selection criterion is an analog to Mallows's Cp and this allows to state some small sample and asymptotic properties of the adaptive estimator. We also comment on stepwise selection procedures. The details of the procedure are presented in several interesting special cases, e.g. the two-or three-sample problem and the twoway classification. We illustrate there possible improvements over the usual least squares (ANOVA-)estimates.

Sprache
Englisch

Erschienen in
Series: SFB 373 Discussion Paper ; No. 1998,20

Klassifikation
Wirtschaft
Thema
Adaptive least squares estimation
minimax regret
ANOVA
discrete explanatory variable
twoway classification

Ereignis
Geistige Schöpfung
(wer)
Bunke, Olaf
Castell, Ernestina
Ereignis
Veröffentlichung
(wer)
Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes
(wo)
Berlin
(wann)
1998

Handle
URN
urn:nbn:de:kobv:11-10056608
Letzte Aktualisierung
10.03.2025, 11:41 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

  • Bunke, Olaf
  • Castell, Ernestina
  • Humboldt University of Berlin, Interdisciplinary Research Project 373: Quantification and Simulation of Economic Processes

Entstanden

  • 1998

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