Multinomial Logit Models for the Austrian Labor Market | Zendy

Ivan Pryanishnikov | Zendy; Kataŕına Zigová | Zendy

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Multinomial Logit Models for the Austrian Labor Market

Author(s) -

Ivan Pryanishnikov,

Kataŕına Zigová

Publication year - 2016

Publication title -

austrian journal of statistics

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.342

H-Index - 9

ISSN - 1026-597X

DOI - 10.17713/ajs.v32i4.461

Subject(s) - multinomial logistic regression , heteroscedasticity , econometrics , mixed logit , logistic regression , value (mathematics) , estimation , logit , ordinary least squares , economics , extreme value theory , statistics , mathematics , management

In this paper we analyze the selection of industry branches by employees in the Austrian labor market. For this purpose we use the standard logit model and the heteroscedastic extreme value model. We show that the likelihood ratio test rejects the multinomial logit model in favor of the heteroscedastic specification. Consequently, we concentrate on estimation results of the heteroscedastic extreme value model. In our investigation we use 1997 social security records provided by the Hauptverband der Sozialversicherungen.

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