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Assessing the value of museums with a combined discrete choice/count data model

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  • Jan Rouwendal
  • Jaap Boter

Abstract

This article assesses the value of Dutch museums using information about destination choice as well as about the number of trips undertaken by an actor. Destination choice is analysed by means of a mixed logit model, and a count data model is used to explain trip generation. We use a utility-consistent framework in which the discrete choice model for destination choice is linked to an indirect utility function. The results are used to compute the compensating variation of particular museums and of the total group of museums in the sample.

Suggested Citation

  • Jan Rouwendal & Jaap Boter, 2009. "Assessing the value of museums with a combined discrete choice/count data model," Applied Economics, Taylor & Francis Journals, vol. 41(11), pages 1417-1436.
    • Handle: RePEc:taf:applec:v:41:y:2009:i:11:p:1417-1436
    DOI: 10.1080/00036840601019240
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    Cited by:

    1. Giacomo Pignataro, 2011. "Performance Indicators," Chapters, in: Ruth Towse (ed.), A Handbook of Cultural Economics, Second Edition, chapter 46, Edward Elgar Publishing.
    2. Christiaan Behrens & Nathalie McCaughey, 2015. "Loyalty Programs and Consumer Behaviour: The Impact of FFPs on Consumer Surplus," Tinbergen Institute Discussion Papers 15-048/VIII, Tinbergen Institute.
    3. Laurent Callot & Johannes Tang Kristensen, 2014. "Vector Autoregressions with Parsimoniously Time Varying Parameters and an Application to Monetary Policy," CREATES Research Papers 2014-41, Department of Economics and Business Economics, Aarhus University.
    4. K. Willis & J. Snowball & C. Wymer & José Grisolía, 2012. "A count data travel cost model of theatre demand using aggregate theatre booking data," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 36(2), pages 91-112, May.
    5. Trilce Navarrete & Karol J. Borowiecki, 2015. "Change in access after digitization: Ethnographic collections in Wikipedia," ACEI Working Paper Series AWP-10-2015, Association for Cultural Economics International, revised Oct 2015.
    6. Ruben Loon & Tom Gosens & Jan Rouwendal, 2014. "Cultural heritage and the attractiveness of cities: evidence from recreation trips," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 38(3), pages 253-285, August.
    7. Victoria Ateca Amestoy, 2013. "Demand for cultural heritage," Chapters, in: Ilde Rizzo & Anna Mignosa (ed.), Handbook on the Economics of Cultural Heritage, chapter 4, pages i-i, Edward Elgar Publishing.
    8. Bhat, Chandra R., 2022. "A new closed-form two-stage budgeting-based multiple discrete-continuous model," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 162-192.
    9. Truong, Truong P. & Hensher, David A., 2014. "Linking discrete choice to continuous demand in a spatial computable general equilibrium model," Journal of choice modelling, Elsevier, vol. 12(C), pages 21-46.
    10. Bhat, Chandra R., 2022. "A closed-form multiple discrete-count extreme value (MDCNTEV) model," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 65-86.

    More about this item

    JEL classification:

    • H41 - Public Economics - - Publicly Provided Goods - - - Public Goods
    • D61 - Microeconomics - - Welfare Economics - - - Allocative Efficiency; Cost-Benefit Analysis
    • R53 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Regional Government Analysis - - - Public Facility Location Analysis; Public Investment and Capital Stock

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