Application of Cox regression model to grouped unemployment data

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SYSNO ASEP	0411212
Document Type	C - Proceedings Paper (int. conf.)
R&D Document Type	Conference Paper
Title	Application of Cox regression model to grouped unemployment data
Author(s)	Volf, Petr (UTIA-B)_{RID, ORCID}
Issue data	Ljublana: Slovenian Society Informatika, 2003
ISBN	961-6165-15-1
Source Title	Proceedings of the 7th International Symposium on Operational Research / Zadnik-Stirn L. ; Bastič M. ; Drobne S.
Pages	s. 301-306
Number of pages	6 s.
Action	International Symposium on Operational Research /7./ SOR'03
Event date	24.09.2003-26.09.2003
VEvent location	Podčetrtek
Country	SI - Slovenia
Event type	EUR
Language	eng - English
Country	SI - Slovenia
Keywords	mathematical statistics ; unemployment ; Cox regression model
Subject RIV	BB - Applied Statistics, Operational Research
R&D Projects	GA402/01/0539 GA ČR - Czech Science Foundation (CSF)
CEZ	AV0Z1075907 - UTIA-B
Annotation	The present paper proposes the use of the Cox regression model for the description of dynamics of unemployment data, namely the case of aggregated data when both the numbers of followed objects and the numbers of observed events are summarized in discrete time periods and covariate classes. The formulation of the model, the procedure of estimation of its parameters, the prediction and tests of fit will be presented. A numerical example shows the analysis of unemployment data from CR in 1993-1999.
Workplace	Institute of Information Theory and Automation
Contact	Markéta Votavová, votavova@utia.cas.cz, Tel.: 266 052 201.

Number of the records: 1