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dc.contributor.authorPellegrini, Andrea
dc.contributor.authorRose, John Matthew
dc.date.accessioned2024-02-05T01:31:47Z
dc.date.available2024-02-05T01:31:47Z
dc.date.issued2024-02-05
dc.identifier.urihttps://hdl.handle.net/2123/32175
dc.description.abstractIn this study, we develop a novel econometric framework that allows for endogenously estimating minimum goods amounts, and their subsequent impact on individuals’ multiple discrete/continuous consumption choices. To do so, we pair a censored Tobit model (Tobin, 1958) with a Multiple Discrete Continuous Extreme Value (MDCEV) model (Bhat, 2005; 2008), with the former being employed to identify lower bounds on consumptions based upon the demographic characteristics of decision-makers. The model proposed is applied to a web-based survey designed to examine monthly expenditure decisions for the following categories: entertainment, household bills, miscellaneous costs, rent/mortgage payments, shopping, transport, childcare and other unspecified expenditure. In addition to providing information on actual expenses, recruited respondents were also asked to indicate the minimum expenditure amount they could potentially spend on the designated expenditure categories. The estimated findings suggest that allowing endogenous minimum consumption amounts within the MDCEV model results in a better understanding of the determinants driving individuals’ expenditure behaviour, whilst also providing more accurate prediction both within and out of sample.en_AU
dc.language.isoenen_AU
dc.rightsCopyright All Rights Reserveden_AU
dc.subjectMultiple Discrete Continuous Decisionsen_AU
dc.subjectMinimum Consumption Patternsen_AU
dc.subjectExpenditure Behaviouren_AU
dc.subjectCensored Tobit Modelen_AU
dc.titleOn allowing endogenous minimum consumption bounds in the Multiple Discrete Continuous Choice Model: An application to expenditure patternsen_AU
dc.typeWorking Paperen_AU
dc.subject.asrcANZSRC FoR code::35 COMMERCE, MANAGEMENT, TOURISM AND SERVICES::3509 Transportation, logistics and supply chainsen_AU
usyd.facultySeS faculties schools::The University of Sydney Business Schoolen_AU
usyd.departmentInstitute of Transport and Logistics Studiesen_AU
workflow.metadata.onlyNoen_AU


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