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Finite Mixture Estimation of Multiproduct Cost Functions

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Author Info

  • Beard, T Randolph
  • Caudill, Steven B
  • Gropper, Daniel M

Abstract

This paper presents a technique of cost-function estimation, based on the theory of finite mixture distributions, which allows for the simultaneous existence of multiple technologies of production when the researcher does not know which observations correspond to which technologies. The finite mixture technique provides estimates of the proportions of firms using the various technologies, facilitates comparisons between technologies, and preserves the traditional interpretations of cost estimation. After describing the mixture procedure, the technique is illustrated on a large sample of savings and loan associations, and it is concluded that this industry exhibits multiple technologies of production. Copyright 1991 by MIT Press.

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Bibliographic Info

Article provided by MIT Press in its journal Review of Economics & Statistics.

Volume (Year): 73 (1991)
Issue (Month): 4 (November)
Pages: 654-64

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Handle: RePEc:tpr:restat:v:73:y:1991:i:4:p:654-64

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Web page: http://mitpress.mit.edu/journals/

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Web: http://mitpress.mit.edu/journal-home.tcl?issn=00346535

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Cited by:
  1. Marine H. Carrasco & Jean-Pierre Florens, 2000. "Estimation of a Mixture via the Empirical Characteristic Function," Econometric Society World Congress 2000 Contributed Papers 0514, Econometric Society.
  2. Hilger, James & Hanemann, W. Michael, 2008. "The Impact of Water Quality on Southern California Beach Recreation: A Finite Mixture Model Approach," Department of Agricultural & Resource Economics, UC Berkeley, Working Paper Series qt9v17r715, Department of Agricultural & Resource Economics, UC Berkeley.
  3. Beard, T. Randolph & Caudill, Steven B. & Gropper, Daniel M., 1997. "The diffusion of production processes in the U.S. banking industry: A finite mixture approach," Journal of Banking & Finance, Elsevier, vol. 21(5), pages 721-740, May.
  4. Katherine G. Yewell & Steven B. Caudill & Franklin G. Mixon, Jr., 2014. "Referee Bias and Stoppage Time in Major League Soccer: A Partially Adaptive Approach," Econometrics, MDPI, Open Access Journal, vol. 2(1), pages 1-19, February.
  5. Juan Prieto Rodríguez & Juan Gabriel Rodríguez & Rafael Salas, 2006. "On The Measurement Of Illegal Wage Discrimination: The Michael Jordan Paradox," Working Papers 38, ECINEQ, Society for the Study of Economic Inequality.
  6. Acharya, Ram N., 2000. "Market Power And Asymmetry In Farm-Retail Price Transmission," 2000 Annual meeting, July 30-August 2, Tampa, FL 21768, American Agricultural Economics Association (New Name 2008: Agricultural and Applied Economics Association).
  7. Maria Odejar, 1999. "Bayesian Analysis of the Stochastic Switching Regression Model Using Markov Chain Monte Carlo Methods," Computing in Economics and Finance 1999 822, Society for Computational Economics.
  8. Subal Kumbhakar & Efthymios Tsionas, . "Does Deregulation Change Economic Behavior of Firms?," Working Papers 0303, University of Crete, Department of Economics.

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