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dc.contributor.author
Crastes dit Sourd, Romain
dc.contributor.author
Dubernet, Ilka
dc.contributor.author
Beck, Matthew
dc.contributor.author
Hess, Stephane
dc.contributor.author
Axhausen, Kay W.
dc.contributor.author
Holz-Rau, Christian
dc.contributor.author
Scheiner, Joachim
dc.date.accessioned
2022-05-06T10:54:30Z
dc.date.available
2020-09-05T13:07:29Z
dc.date.available
2020-09-07T06:53:13Z
dc.date.available
2020-09-10T07:36:29Z
dc.date.available
2022-05-06T10:54:30Z
dc.date.issued
2020-08-26
dc.identifier.uri
http://hdl.handle.net/20.500.11850/438685
dc.identifier.doi
10.3929/ethz-b-000438685
dc.description.abstract
The relatively new research field of mobility biographies designates the analysis of long-term mobility behaviour and the availability of mobility tools in a life span. A retrospective survey of the TU Dortmund, ETH Zurich and Goethe University Frankfurt collects data on individual mobility biographies of three different generations in a household with a life-calendar. Most of the past long-term decisions made by individuals such as buying a house or changing job affect their preferences in future periods and induce economic constraints in the form of transaction costs. Ignoring these aspects may lead to biased estimates in the analysis. A dynamic probit model is used to identify impacts on the individual decisions on car availability in a life span and tests for differences between gender or is used to include the time dependency of the explanatory variables such as age, the number of children or education. The focus of the paper is to compare the modelling results following common practices in the life course calendar literature, based on random effects probit models with the results obtained with a dynamic random effects probit model with autocorrelation. In contrary to the classic random effects probit model approach the main advantage of the dynamic probit approach is to explicitly model the correlated time-fixed and time-varying unobserved heterogeneity by the means of composite marginal likelihood estimation.
en_US
dc.format
application/pdf
en_US
dc.language.iso
en
en_US
dc.publisher
IVT, ETH Zurich
en_US
dc.rights.uri
http://rightsstatements.org/page/InC-NC/1.0/
dc.subject
Car availability
en_US
dc.subject
Life course analysis
en_US
dc.subject
Composite marginal likelihood
en_US
dc.subject
Mobility biography
en_US
dc.title
A dynamic approach to car availability throughout the life course
en_US
dc.type
Working Paper
dc.rights.license
In Copyright - Non-Commercial Use Permitted
ethz.journal.title
Arbeitsberichte Verkehrs- und Raumplanung
ethz.journal.volume
1554
en_US
ethz.size
28 p.
en_US
ethz.publication.place
Zurich
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::03521 - Axhausen, Kay W. / Axhausen, Kay W.
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02100 - Dep. Architektur / Dep. of Architecture::02655 - Netzwerk Stadt und Landschaft D-ARCH
en_US
ethz.leitzahl.certified
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02115 - Dep. Bau, Umwelt und Geomatik / Dep. of Civil, Env. and Geomatic Eng.::02610 - Inst. f. Verkehrspl. u. Transportsyst. / Inst. Transport Planning and Systems::03521 - Axhausen, Kay W. / Axhausen, Kay W.
en_US
ethz.date.deposited
2020-09-05T13:07:38Z
ethz.source
FORM
ethz.eth
yes
en_US
ethz.identifier.internal
1554
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2020-09-07T06:53:24Z
ethz.rosetta.lastUpdated
2021-02-15T17:07:16Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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