Swiss Journal of Economics and Statistics

, Volume 147, Issue 2, pp 233–274 | Cite as

An analysis of technical efficiency and efficiency factors for Austrian and Swiss non-profit theatres

  • Marta Zieba
Open Access


This article explores the measurement of the production technology and efficiency of the performing arts sector. The stochastic frontier analysis has been used to estimate the technical efficiency scores for 20 Austrian and 30 Swiss non-profit theatres over 36 and 26 years, respectively. The number of visitors and tickets on offer are considered as two alternative measures of artistic output. The results indicate that individual efficiency estimates are very sensitive to the econometric specification of the unobserved heterogeneity of theatres. In particular, econometric techniques which do not account for this heterogeneity produce much lower efficiency levels. The indefinable dimension of artistic output such as theatre-specific quality may also have an important influence on efficiency estimates. The empirical analysis also delivers the first insights into the impact of exogenous factors on technical efficiency such as the number of theatres in the local area, regional differences and the level of public subsidies.


Z11 L32 C23 D24 


non-profit theatres technical efficiency stochastic frontier analysis Austria and Switzerland 


  1. Aigner, Dennis, C. A. Knox Lovell and Peter Schmidt (1977), “Formulation and Estimation of Stochastic Frontier Production Function Models”, Journal of Econometrics, 6, pp. 21–37.CrossRefGoogle Scholar
  2. Battese, George, and Tim Coelli (1992), “Frontier Production Functions, Technical Efficiency and Panel Data: With Applications to Paddy Farmers in India”, Journal of Productivity Analysis, 3, pp. 153–169.CrossRefGoogle Scholar
  3. Battese, George, and Tim Coelli (1995), “A Model of Technical Efficiency Effects in a Stochastic Frontier Production Function for Panel Data”, Empirical Economics, 20, pp. 325–332.CrossRefGoogle Scholar
  4. Baumol, William J., and William G. Bowen (1965), “On the Performing Arts: The Anatomy of their Economic Problems”, The American Economic Review, 55 (1/2), pp. 495–502.Google Scholar
  5. Bishop, Paul and Steven Brand (2003), “The Efficiency of Museums: A Stochastic Frontier Production Function Approach”, Applied Economics, 35, pp. 1853–1858.CrossRefGoogle Scholar
  6. Coelli, Tim (1996), “A Guide to FRONTIER Version 4.2: A Computer Program for Stochastic Frontier Production and Cost Function Estimation”, CEPA Working Paper 96/7, University of New England.Google Scholar
  7. Farrell, Michael J. (1957), “The Measurement of Productive Efficiency”, Journal of the Royal Statistical Society, 120, pp. 253–281.CrossRefGoogle Scholar
  8. Farsi, Mehdi, Massimo Filippini and Michael Kuenzle (2005), “Unobserved Heterogeneity in Stochastic Cost Frontier Models: An Application to Swiss Nursing Homes”, Applied Economics, 37, pp. 2127–2141.CrossRefGoogle Scholar
  9. Farsi, Mehdi, and Massimo Filippini (2006), “An Analysis of Efficiency and Productivity in Swiss Hospitals”, Swiss Journal of Economics and Statistics, 142 (1), pp. 1–37.Google Scholar
  10. Farsi, Mehdi, Massimo Filippini and William Greene (2006), “Application of Panel Data Models in Benchmarking Analysis of the Electricity Distribution Sector”, Annals of Public and Cooperative Economics, 77, pp. 271–290.CrossRefGoogle Scholar
  11. Fazioli, Roberto, and Massimo Filippini (1997), “Cost Structure and Product Mix of Local Public Theatres”, Journal of Cultural Economics, 21, pp. 77–86.CrossRefGoogle Scholar
  12. Gapinski, James (1980), “The Production of Culture”, The Review of Economics and Statistics, 62 (4), pp. 578–586.CrossRefGoogle Scholar
  13. Gapinski, James (1984), “The Economics of Performing Shakespeare”, The American Economic Review, 74 (3), pp. 458–466.Google Scholar
  14. Globerman, Steven, and Sam H. Book (1974), “Statistical Cost Functions for Performing Arts Organizations”, Southern Economic Journal, 40 (4), pp. 668–671.CrossRefGoogle Scholar
  15. Greene, William (2004), “Distinguishing between Heterogeneity and Inefficiency: Stochastic Frontier Analysis of the World Health Organization’s Panel Data on National Health Care Systems”, Health Economics, 13 (10), pp. 959–980.CrossRefGoogle Scholar
  16. Greene, William (2005), “Reconsidering Heterogeneity in Panel Data Estimators of the Stochastic Frontier Model”, Journal of Econometrics, 126 (2), pp. 269–303.CrossRefGoogle Scholar
  17. Greene, William (2007), LIMDEP Version 9.0 Reference Guide, Vol. 2, Econometric Software Inc: New York.Google Scholar
  18. Gruber, Klemens, and Rainer M. Köppl (1998), “The Theatre System of Austria”, in: Hans van Maanen and Steve Wilmer (eds), Theatre Worlds in Motion. Structures, Politics and Developments in the countries of Western Europe, Amsterdam, pp. 37–73.Google Scholar
  19. Hadri, Kaddour, Cherif Guermat and Julie Whittaker (2003), “Estimation of Technical Inefficiency Effects Using Panel Data and Doubly Heteroscedastic Stochastic Production Frontiers”, Empirical Economics, 28 (1), pp. 203–222.CrossRefGoogle Scholar
  20. Heilbrun, James, and Charles M. Gray (1993), The Economics of Art and Culture: An American Perspective, Cambridge.Google Scholar
  21. O’hagan, John (1998), The State and the Arts: An Analysis on Key Economic Policy Issues in Europe and the United States, Cheltenham.Google Scholar
  22. O’hagan, John, and Marta Zieba (2010), “Output Characteristics and Other Determinants of Theatre Attendance — An Econometric Analysis of German Data”, Applied Economics Quarterly, 56 (2), pp. 147–174.CrossRefGoogle Scholar
  23. Jondrow, James, Ivan Materov, C. A. Knox Lovell, and Peter Schmidt (1982), “On the Estimation of Technical Inefficiency in the Stochastic Frontier Production Function Model”, Journal of Econometrics, 19 (2/3), pp. 233–238.CrossRefGoogle Scholar
  24. Kotte, Andreas (1998), “The Theatre System of Switzerland”, in: Hans van Maanen and Steve Wilmer (eds), Theatre Worlds in Motion. Structures, Politics and Developments in the countries of Western Europe, Amsterdam, pp. 619–667.Google Scholar
  25. Last, Anne-Kathrin, and Heike Wetzel (2010), The Efficiency of German Public Theatres: A Stochastic Frontier Analysis Approach, Journal of Cultural Economics, 34, pp. 89–110.CrossRefGoogle Scholar
  26. Luksetich, William A., and Mark D. Lange (1995), “A Simultaneous Model of Nonprofit Symphony Orchestra Behavior”, Journal of Cultural Economics, 19, pp. 49–68.CrossRefGoogle Scholar
  27. Marco-Serrano, Francisco (2006), “Monitoring Managerial Efficiency in the Performing Arts: A Regional Theatres Network Perspective”, Annals of Operations Research, 145, pp. 167–181.CrossRefGoogle Scholar
  28. Pestiau, Pierre, and Henry Tulkens (2006), “Assesing and Explaining the Performances of Public Enterprises: Some Recent Evidence From the Productive Efficiency Viewpoint”, in P. Chander, J. Drèze, C. Knox Lovell and J. Mintz (eds), Public goods, environmental externalities and fiscal competition, Springer US, pp. 343–372.Google Scholar
  29. Pitt, Mark M., and Lung-Fei Lee (1981), “The Measurement and Sources of Technical Inefficiency in the Indonesian Weaving Industry”, Journal of Development Economics, 9 (1), pp. 43–64.CrossRefGoogle Scholar
  30. Propper, Carol, Burgess, Simon and Katherine Green (2004), “Does Competition between Hospitals Improve the Quality of Care? Hospital Death Rates and the NHS Internal Market”, Journal of Public Economics, 88, pp. 1247–1272.CrossRefGoogle Scholar
  31. Schmidt, Peter, and Robin C. Sickles (1984), “Production Frontiers and Panel Data”, Journal of Business and Economic Statistics, 2 (4), pp. 367–374.Google Scholar
  32. Sivers, Norbert, Wagner, Bernd and Andreas Wiesand (2004), „Objektive und transparente Förderkriterien staatlicher Kulturfinanzierung — Vergleiche mit dem Ausland“, Gutachten für die Enquete-Kommission des Deutschen Bundestages (Kultur in Deutschland), K.-Drs. 15/276a, November, Bonn.Google Scholar
  33. Taalas, Mervi (1997), “Generalized Cost Functions of Producers of Performing Arts — Allocative Inefficiencies and Scale Economies in Theatres”, Journal of Cultural Economics, 21, pp. 335–349.CrossRefGoogle Scholar
  34. Throsby, David (1977), “Production and Cost Relationships in the Supply of the Performing Arts Services”, in: K. Tucker (ed.), The Economics of the Australian Service Sector, London, pp. 414–432.Google Scholar
  35. Tobias, Stefan (2003), “Cost-Efficient Performing Arts? German Theatres in a DEA Comparison”, Inauguraldissertation zur Erlangung des akademischen Grades Doctor rerum politicarum der Universität Dortmund.Google Scholar
  36. Varian, Hal R. (1992), Microeconomic Analysis, 3rd Edition, New York.Google Scholar
  37. Zieba, Marta and Carol Newman (2007), “Understanding Production in the Performing Arts: a Production Function for German Public Theatre.” TEP Working Paper 07/07, Trinity College Dublin.Google Scholar

Copyright information

© Swiss Society of Economics and Statistics 2011

Authors and Affiliations

  1. 1.Department of EconomicsTrinity College Dublin, College GreenDublin 2Ireland

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