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dc.creatorSpissu, Erikaen
dc.creatorEluru, Naveenen
dc.creatorSener, Ipek N.en
dc.creatorBhat, Chandra R.en
dc.creatorMeloni, Italoen
dc.date.accessioned2014-04-04T17:41:24Zen
dc.date.available2014-04-04T17:41:24Zen
dc.date.issued2010en
dc.identifier.citationSpissu, E., N. Eluru, I.N. Sener, C.R. Bhat, and I. Meloni (2010). Cross-Clustered Model of Frequency of Home-Based Work Participation in Traditionally Off-Work Hours.�Transportation Research Record,�Vol. 2157, pp. 138-146.���en
dc.identifier.issn0361-1981en
dc.identifier.urihttp://hdl.handle.net/2152/23802en
dc.descriptionAt the time of publication E. Spissu and I. Meloni were at the University of Cagliari; N. Eluru, I.N. Sener and C.R. Bhat were at the University of Texas at Austin.en
dc.description.abstractThe objective of this paper is to shed light on the determinants of working from home beyond the traditional office-based work hours. Specifically, we examine the frequency of work participation from home for individuals who also have the traditional work pattern of traveling to an out-of-home work place with a fixed number of work hours at the out-of-home work place. The sample for the empirical analysis is drawn from the 2002-2003 Turin Time Use Survey, which was designed and administered by the Italian National Institute of Statistics (ISTAT).From a methodological standpoint, we explicitly recognize both spatial and social clustering effects using a cross-clustered ordered-response structure to analyze the frequency of work participation from home during off-work periods.The model is estimated using the inference technique of composite marginal likelihood (CML), which represents a conceptually, pedagogically, and implementationally simpler procedure relative to traditional frequentist and Bayesian simulation techniques.en
dc.language.isoenen
dc.publisherNational Academy of Sciencesen
dc.source.urihttp://www.metapress.com/content/y018pr26604g06n5/en
dc.titleCross-Clustered Model of Frequency of Home-Based Work Participation in Traditionally Off-Work Hoursen
dc.typeArticleen
dc.description.departmentCivil, Architectural, and Environmental Engineeringen


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