[go: up one dir, main page]

  EconPapers    
Economics at your fingertips  
 

Measuring Commuting in the American Time Use Survey

Gray Kimbrough ()

MPRA Paper from University Library of Munich, Germany

Abstract: Research into the relationships between commuting and other activities has been hampered by the lack of suitably comprehensive datasets. This paper identifies a possible source of detailed information for such studies, the American Time Use Survey (ATUS). This paper surveys approaches used by researchers to analyze commuting in the ATUS and outlines a method of measuring commuting in a clear and consistent way. This analysis details the advantages of this method over other approaches. Commuting measured in the ATUS using this methodology is shown to be consistent with commuting measures in other large, nationally representative studies. The proposed methodology makes possible a range of analyses exploiting the unique information in the ATUS.

Keywords: commuting; time use data; travel classification; American Time Use Survey (search for similar items in EconPapers)
JEL-codes: J22 R41 (search for similar items in EconPapers)
Date: 2019-05-05
New Economics Papers: this item is included in nep-bec, nep-lma, nep-tre and nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (6) Track citations by RSS feed

Downloads: (external link)
https://mpra.ub.uni-muenchen.de/93239/2/MPRA_paper_93239.pdf original version (application/pdf)
https://mpra.ub.uni-muenchen.de/105263/6/MPRA_paper_105263.pdf revised version (application/pdf)

Related works:
Working Paper: Measuring Commuting in the American Time Use Survey (2016) Downloads
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:pra:mprapa:93239

Access Statistics for this paper

More papers in MPRA Paper from University Library of Munich, Germany Ludwigstraße 33, D-80539 Munich, Germany. Contact information at EDIRC.
Bibliographic data for series maintained by Joachim Winter ().

 
Page updated 2023-11-11
Handle: RePEc:pra:mprapa:93239