Arbeitspapier
Monitoring structural change in dynamic econometric models
The classical approach to testing for structural change employs retrospective tests using a historical data set of a given length. Here we consider a wide array of fluctuation-type tests in a monitoring situation – given a history period for which a regression relationship is known to be stable, we test whether incoming data are consistent with the previously established relationship. Procedures based on estimates of the regression coefficients are extended in three directions: we introduce (a) procedures based on OLS residuals, (b) rescaled statistics and (c) alternative asymptotic boundaries. Compared to the existing tests our extensions offer better power against certain alternatives, improved size in finite samples for dynamic models and ease of computation respectively. We apply our methods to two data sets, German M1 money demand and U.S. labor productivity.
- Sprache
-
Englisch
- Erschienen in
-
Series: Technical Report ; No. 2002,07
- Klassifikation
-
Single Equation Models; Single Variables: Time-Series Models; Dynamic Quantile Regressions; Dynamic Treatment Effect Models; Diffusion Processes
Model Evaluation, Validation, and Selection
- Thema
-
Online monitoring
CUSUM
MOSUM
moving estimates
recursive estimates
Zeitreihenanalyse
Strukturbruch
Statistischer Test
Kontrolle
Theorie
Deutschland
USA
Ökonometrisches Modell
- Ereignis
-
Geistige Schöpfung
- (wer)
-
Zeileis, Achim
Leisch, Friedrich
Kleiber, Christian
Hornik, Kurt
- Ereignis
-
Veröffentlichung
- (wer)
-
Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
- (wo)
-
Dortmund
- (wann)
-
2002
- Handle
- Letzte Aktualisierung
-
10.03.2025, 11:44 MEZ
Datenpartner
ZBW - Deutsche Zentralbibliothek für Wirtschaftswissenschaften - Leibniz-Informationszentrum Wirtschaft. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Objekttyp
- Arbeitspapier
Beteiligte
- Zeileis, Achim
- Leisch, Friedrich
- Kleiber, Christian
- Hornik, Kurt
- Universität Dortmund, Sonderforschungsbereich 475 - Komplexitätsreduktion in Multivariaten Datenstrukturen
Entstanden
- 2002