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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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    References listed on IDEAS

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    1. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    2. 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.
    3. 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.
    4. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
    5. 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.
    6. Duncan, Brian, 1999. "Modeling charitable contributions of time and money," Journal of Public Economics, Elsevier, vol. 72(2), pages 213-242, May.
    7. 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.
    8. 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..
    9. 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.
    10. 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.
    11. 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.
    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. Mirela KOCI, 2017. "Stress Analysis of Composite Materials Used for Yacht Production Through Solid Work Simulation," European Journal of Economics and Business Studies Articles, Revistia Research and Publishing, vol. 3, September.
    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. 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.
    4. 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.

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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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