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Using Discrete Choice Models with Experimental Design Data to Forecast Consumer Demand for a Unique Cultural Event

Datos Bibliográficos

ID3020344
AutoresJordan J Louviere (0000-0001-7688-164X), David A Hensher (0000-0003-0058-2242)
Año1983
Volumen10
Número3
Páginas348
Fecha de publicación1983-12-01
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaJournal of Consumer Research (JOURNAL)
Identificadores de la revistaISSN: 0093-5301 • E-ISSN: 1537-5277
EditorialOxford University Press (OUP) (PUBLISHER)
DOI10.1086/208974
OpenAlexW2077408629
IdiomaEN
Citas recibidas41
Referencias citadas9

An approach is developed to forecast participation in unique events with long gestation periods. Experimental observations of choice are derived for conjoint measurement type multiattribute alternatives that describe possible event configurations. The choice data are analyzed by means of discrete choice econometric models. A multinomial logit choice model is applied to forecast the choice of attendance at various types of international expositions. The empirical work was part of the planning efforts undertaken to investigate the potential demand for an international exposition to be held in Eastern Australia in conjunction with the Australian 1988 bicentennial celebrations

Attendance · Conjoint analysis · Discrete choice · Econometric model · Econometrics · Economics · Event (particle physics) · Exposition (narrative) · Logistic regression · Microeconomics · Mixed logit · Multinomial logistic regression · Operations research · Preference · Statistics · Work (physics) · Computer Science · Decision-Making and Behavioral Economics · Economic and Environmental Valuation · Engineering · Mathematics · Recreation, Leisure, Wilderness Management

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Obras citantes distintas41
Citas por año1,05
Intervalo de citas1987 - 2026 (40)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 38
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