Stochastic Frontier Models with Threshold Efficiency
This paper proposes a tail-truncated stochastic frontier model that allows for the truncation of technical efficiency from below. The truncation bound implies the inefficiency threshold for survival and also can be used as a measure of market competition. Specifically, this paper assumes a uniform distribution of technical inefficiency and derives the likelihood function. Even though this distributional assumption imposes a strong restriction that technical inefficiency has a uniform probability density over [0,], where is the threshold parameter, this model has two advantages: (i) the reduction of the number of parameters from the more complicated tail-truncated models allows better performance in numerical optimization; and (ii) the threshold parameter itself represents a degree of competition because the variance of technical inefficiency is dependent solely on the parameter. The Monte Carlo simulation results support the argument that this model approximates the distribution of inefficiency precisely.
|Date of creation:||2011|
|Date of revision:|
|Contact details of provider:|| Postal: |
Web page: http://home.sogang.ac.kr/sites/sgrime
More information through EDIRC
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- 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.
- Chad Syverson, 2001.
"Market Structure and Productivity: A Concrete Example,"
01-06, Center for Economic Studies, U.S. Census Bureau.
- Chad Syverson, 2004. "Market Structure and Productivity: A Concrete Example," Journal of Political Economy, University of Chicago Press, vol. 112(6), pages 1181-1222, December.
- Chad Syverson, 2004. "Market Structure and Productivity: A Concrete Example," NBER Working Papers 10501, National Bureau of Economic Research, Inc.
- Good, D.H. & Nadiri, M.I. & Roller, L.H. & Sickles, R., 1992.
"Efficiency and Productivity Growth Comparisons of European and U.S. Air Carriers : A First Look at the Data,"
92-22, C.V. Starr Center for Applied Economics, New York University.
- David Good & M. Nadiri & Lars-Hendrik Röller & Robin Sickles, 1993. "Efficiency and productivity growth comparisons of European and U.S. Air carriers: A first look at the data," Journal of Productivity Analysis, Springer, vol. 4(1), pages 115-125, June.
- Schmidt, Peter & Sickles, Robin C, 1984. "Production Frontiers and Panel Data," Journal of Business & Economic Statistics, American Statistical Association, vol. 2(4), pages 367-74, October.
- Stevenson, Rodney E., 1980. "Likelihood functions for generalized stochastic frontier estimation," Journal of Econometrics, Elsevier, vol. 13(1), pages 57-66, May.
- Timothy Dunne & Shawn Klimek & James Schmitz, Jr., 2010. "Competition and Productivity: Evidence from the Post WWII U.S. Cement Industry," Working Papers 10-29, Center for Economic Studies, U.S. Census Bureau.
- Amemiya, Takeshi, 1973. "Regression Analysis when the Dependent Variable is Truncated Normal," Econometrica, Econometric Society, vol. 41(6), pages 997-1016, November.
- Qu Feng & William C. Horrace, 2012.
"Alternative technical efficiency measures: Skew, bias and scale,"
Journal of Applied Econometrics,
John Wiley & Sons, Ltd., vol. 27(2), pages 253-268, 03.
- Qu Feng & William C. Horrace, 2010. "Alternative Technical Efficiency Measures: Skew, Bias, and Scale," Center for Policy Research Working Papers 121, Center for Policy Research, Maxwell School, Syracuse University.
- Meeusen, Wim & van den Broeck, Julien, 1977. "Efficiency Estimation from Cobb-Douglas Production Functions with Composed Error," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 18(2), pages 435-44, June.
- Greene, William H., 1980. "Maximum likelihood estimation of econometric frontier functions," Journal of Econometrics, Elsevier, vol. 13(1), pages 27-56, May.
- 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.
- Thomas J. Holmes & James A. Schmitz, 2010.
"Competition and Productivity: A Review of Evidence,"
Annual Review of Economics,
Annual Reviews, vol. 2(1), pages 619-642, 09.
- Thomas J. Holmes & James A. Schmitz, Jr., 2010. "Competition and productivity: a review of evidence," Staff Report 439, Federal Reserve Bank of Minneapolis.
- Greene, William H., 1990. "A Gamma-distributed stochastic frontier model," Journal of Econometrics, Elsevier, vol. 46(1-2), pages 141-163.
- David A. Matsa, 2011. "Competition and Product Quality in the Supermarket Industry," The Quarterly Journal of Economics, Oxford University Press, vol. 126(3), pages 1539-1591.
When requesting a correction, please mention this item's handle: RePEc:sgo:wpaper:1205. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (In Choi)
If references are entirely missing, you can add them using this form.