1988
DOI: 10.1068/a201085
|View full text |Cite
|
Sign up to set email alerts
|

A Choice-Theoretical Labour-Market Model: Empirical Tests at the Mesolevel

Abstract: This paper contains an analysis of a multiregional labour-supply model for Austria. In the approach suggested here attempts are made to combine the advantages of random-utility-based discrete choice theory and partial reduced-form estimation. Two recursive submodels, the labour-force participation submodel, and the commuting and employment submodel, are developed. Three different types of model specifications at the mesolevel are used to analyse the consequences of choosing a spatial framework of overlapping r… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
1
0

Year Published

1996
1996
1999
1999

Publication Types

Select...
4
1

Relationship

0
5

Authors

Journals

citations
Cited by 8 publications
(1 citation statement)
references
References 12 publications
0
1
0
Order By: Relevance
“…The decision on the selection and design of an appropriate spatial framework is a crucial issue in the model building process which affects both the interpretation and acceptability of the models (Openshaw 1977, Baumann et al 1988. GIS offers spatial (dis)aggregation capabilities as well as interactive graphics display possibilities which combined with rudimentary exploratory spatial data analysis provides a considerable power to design zoning systems meeting specific requirements (see Batty and Xie 1994a).…”
mentioning
confidence: 99%
“…The decision on the selection and design of an appropriate spatial framework is a crucial issue in the model building process which affects both the interpretation and acceptability of the models (Openshaw 1977, Baumann et al 1988. GIS offers spatial (dis)aggregation capabilities as well as interactive graphics display possibilities which combined with rudimentary exploratory spatial data analysis provides a considerable power to design zoning systems meeting specific requirements (see Batty and Xie 1994a).…”
mentioning
confidence: 99%