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Subsampling inference in threshold autoregressive models

Author
GONZALO, Jesus1 ; WOLF, Michael2
[1] Department of Economics, Universidad Carlos III de Madrid, Galle Madrid 126, 28903 Getafe, Spain
[2] Department of Economics and Business, Universitat Pompeu Fabra, Ramon Trias Fargas 25-27, 08005 Barcelona, Spain
Source

Journal of econometrics. 2005, Vol 127, Num 2, pp 201-224, 24 p ; ref : 10 ref

CODEN
JECMB6
ISSN
0304-4076
Scientific domain
Control theory, operational research; Mathematics
Publisher
Elsevier, Amsterdam
Publication country
Netherlands
Document type
Article
Language
English
Author keyword
C14 C15 C22 C32 Confidence intervals Continuity Regime shifts Subsampling Threshold autoregressive models
Keyword (fr)
Analyse donnée Donnée économique Econométrie Estimation statistique Intervalle confiance Loi limite Loi normale Modèle autorégressif Modèle régression Méthode statistique Seuil Simulation statistique Sous échantillonnage Continuité Décalage régime
Keyword (en)
Data analysis Economic data Econometrics Statistical estimation Confidence interval Limit distribution Gaussian distribution Autoregressive model Regression model Statistical method Threshold Statistical simulation Subsampling Regime shift
Keyword (es)
Análisis datos Dato económico Econometría Estimación estadística Intervalo confianza Ley límite Curva Gauss Modelo autorregresivo Modelo regresión Método estadístico Umbral Simulación estadística Submuestreo
Classification
Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02M Inference from stochastic processes; time series analysis

Pascal
001 Exact sciences and technology / 001A Sciences and techniques of general use / 001A02 Mathematics / 001A02H Probability and statistics / 001A02H02 Statistics / 001A02H02N Applications / 001A02H02N2 Insurance, economics, finance

Discipline
Mathematics
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
16859488

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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