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The fundraising efficiency in U.S. non-profit art organizations: an application of a Bayesian estimation approach using the stochastic frontier production model

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  • Seongho Song
  • David Yi

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  • Seongho Song & David Yi, 2011. "The fundraising efficiency in U.S. non-profit art organizations: an application of a Bayesian estimation approach using the stochastic frontier production model," Journal of Productivity Analysis, Springer, vol. 35(2), pages 171-180, April.
    • Handle: RePEc:kap:jproda:v:35:y:2011:i:2:p:171-180
    DOI: 10.1007/s11123-010-0186-y
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    1. Kelvin Balcombe & Iain Fraser & Jae Kim, 2006. "Estimating technical efficiency of Australian dairy farms using alternative frontier methodologies," Applied Economics, Taylor & Francis Journals, vol. 38(19), pages 2221-2236.
    2. Lee, Lung-Fei & Tyler, William G., 1978. "The stochastic frontier production function and average efficiency : An empirical analysis," Journal of Econometrics, Elsevier, vol. 7(3), pages 385-389, April.
    3. Duncan, Brian, 1999. "Modeling charitable contributions of time and money," Journal of Public Economics, Elsevier, vol. 72(2), pages 213-242, May.
    4. Koop, Gary & Steel, Mark F.J. & Osiewalski, Jacek, 1992. "Posterior analysis of stochastic frontier models using Gibbs sampling," DES - Working Papers. Statistics and Econometrics. WS 3677, Universidad Carlos III de Madrid. Departamento de Estadística.
    5. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
    6. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    7. Bergstrom, Theodore & Blume, Lawrence & Varian, Hal, 1986. "On the private provision of public goods," Journal of Public Economics, Elsevier, vol. 29(1), pages 25-49, February.
    8. Jondrow, James & Knox Lovell, C. A. & Materov, Ivan S. & Schmidt, Peter, 1982. "On the estimation of technical inefficiency in the stochastic frontier production function model," Journal of Econometrics, Elsevier, vol. 19(2-3), pages 233-238, August.
    9. Antonella Basso & Stefania Funari, 2004. "A Quantitative Approach to Evaluate the Relative Efficiency of Museums," Journal of Cultural Economics, Springer;The Association for Cultural Economics International, vol. 28(3), pages 195-216, August.
    10. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika Van Der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639, October.
    11. Duncan Boldy, 1999. "Contribution," World Scientific Book Chapters, in: V De Angelis & N Ricciardi & G Storchi (ed.), Monitoring, Evaluating, Planning Health Services, chapter 25, pages 261-262, World Scientific Publishing Co. Pte. Ltd..
    12. Paul Bishop & Steven Brand, 2003. "The efficiency of museums: a stochastic frontier production function approach," Applied Economics, Taylor & Francis Journals, vol. 35(17), pages 1853-1858.
    13. Aigner, Dennis & Lovell, C. A. Knox & Schmidt, Peter, 1977. "Formulation and estimation of stochastic frontier production function models," Journal of Econometrics, Elsevier, vol. 6(1), pages 21-37, July.
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    Cited by:

    1. Angela Besana & Annamaria Esposito, 2019. "Fundraising, social media and tourism in American symphony orchestras and opera houses," Business Economics, Palgrave Macmillan;National Association for Business Economics, vol. 54(2), pages 137-144, April.
    2. Wellens, Lore & Jegers, Marc, 2014. "Effective governance in nonprofit organizations: A literature based multiple stakeholder approach," European Management Journal, Elsevier, vol. 32(2), pages 223-243.
    3. Nikolay Tsonev & Svetoslav Kaleychev, 2018. "Innovative Practices as a Key for a Better Management in Tourism Industry," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 4, ejes_v4_i.
    4. Xu Dong & Yali Yang & Xiaomeng Zhao & Yingjie Feng & Chenguang Liu, 2021. "Environmental Regulation, Resource Misallocation and Industrial Total Factor Productivity: A Spatial Empirical Study Based on China’s Provincial Panel Data," Sustainability, MDPI, vol. 13(4), pages 1-20, February.

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    More about this item

    Keywords

    Fundraising efficiency; Stochastic frontier models; Bayesian estimation; Non-profit art organizations; Crowding out; C11; H32; H5; L31;
    All these keywords.

    JEL classification:

    • C11 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Bayesian Analysis: General
    • H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
    • H5 - Public Economics - - National Government Expenditures and Related Policies
    • L31 - Industrial Organization - - Nonprofit Organizations and Public Enterprise - - - Nonprofit Institutions; NGOs; Social Entrepreneurship

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