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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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    File URL: http://hdl.handle.net/10.1007/s11123-010-0186-y
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    Bibliographic Info

    Article provided by Springer in its journal Journal of Productivity Analysis.

    Volume (Year): 35 (2011)
    Issue (Month): 2 (April)
    Pages: 171-180

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    Handle: RePEc:kap:jproda:v:35:y:2011:i:2:p:171-180

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    Web page: http://www.springerlink.com/link.asp?id=100296

    Related research

    Keywords: Fundraising efficiency; Stochastic frontier models; Bayesian estimation; Non-profit art organizations; Crowding out; C11; H32; H5; L31;

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    References

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    1. Antonella Basso & Stefania Funari, 2004. "A Quantitative Approach to Evaluate the Relative Efficiency of Museums," Journal of Cultural Economics, Springer, vol. 28(3), pages 195-216, August.
    2. Efthymios G. Tsionas, 2002. "Stochastic frontier models with random coefficients," Journal of Applied Econometrics, John Wiley & Sons, Ltd., vol. 17(2), pages 127-147.
    3. 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.
    4. 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.
    5. 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.
    6. Duncan, Brian, 1999. "Modeling charitable contributions of time and money," Journal of Public Economics, Elsevier, vol. 72(2), pages 213-242, May.
    7. Jim Griffin & Mark Steel, 2007. "Bayesian stochastic frontier analysis using WinBUGS," Journal of Productivity Analysis, Springer, vol. 27(3), pages 163-176, June.
    8. KOOP, Gary & STEEL, Mark F. & OSIEWALSKI, Jacek, 1994. "Posterior Analysis of Stochastic Frontier Models using Gibbs Sampling," CORE Discussion Papers 1994061, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    9. 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.
    10. 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.
    11. 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.
    12. 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.
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