연구동향 분석
박사

Bayesian Analysis for Hierarchical Model and Technical Inefficient Effects in Stochastic Frontier Production Function

Jung Myoungjin 2015년

논문상세정보
인용/피인용
' Bayesian Analysis for Hierarchical Model and Technical Inefficient Effects in Stochastic Frontier Production Function' 의 주제별 논문영향력
논문영향력 선정 방법
논문영향력 요약
주제
  • bayesian analysis
  • markov chain monte carlo methods
  • stochastic frontier production function
  • technical efficiency
동일주제 총논문수 논문피인용 총횟수 주제별 논문영향력의 평균
86 0

0.0%

' Bayesian Analysis for Hierarchical Model and Technical Inefficient Effects in Stochastic Frontier Production Function' 의 참고문헌

  • Tonini, A. (2012) A Bayesian Stochastic Frontier : An Application to Agricultural Productivity Growth in European Countries, Economic Change and Restructuring, 45, 247-269.
  • Tanner, M. A. and Wong, W. H. (1987). The Calculation of Posterior Distributions by Data Augmentation, Journal of the American Statistical Association, 82, 528-540.
  • Stevenson, R. E. (1980). Likelihood Functions for Generalized Stochastic Frontier Estimation, Journal of Econometrics, 13(1), 57-66.
  • Spiegelhalter, D. J., Best, N. G., Carlin, B. P. and van der Linde, A. (2002). Bayesian Measures of Model Complexity and Fit, Journal of the Royal Statistical Society, Series B, 64(4), 583639.
  • Song, S. and Yi, D. T. (2010). The Fundraising Eciency in U.S. Nonpro t Art Organizations : An Application of a Bayesian Estimation Approach using the Stochastic Frontier Production Model, Journal of Productivity Analysis, 35(2), 171-180.
  • Schwarz, G. E. (1978). Estimating the Dimension of a Model, Annals of Statistics, 6(2), 461-464.
  • Schmidt, P. and Sickles, R. C. (1984). Production Frontiers and Panel Data, Journal of Business and Economic Statistics, 2(4), 367-374.
  • Schmidt, P. (1986). Frontier Production Functions, Econometric Reviews, 4(2), 289-328.
  • Reifschneider, D. and Stevenson, R. (1991). Systematic Departures from the Frontier : A Framework for the Analysis of Firm Ineciency, International Economic Review, 32(3), 715-723.
  • Pitt, M. and Lee, L. F. (1981). The Measurement and Sources of Technical Ineciency in the Indonesian Weaving Industry, Journal of Development Economics, 9, 43-64.
  • Nerlove, M. (1963). Returns to Scale in Electricity Supply, Measurement in Economics : Studies inMathematical Economics and Econometrics in Memory of Y ehuda Grunfeld, Stanford University Press.
  • Mundlak, Y. (1961). Empirical Production Function Free of Management Bias, Journal of Farm Economics, 43(1), 44-56.
  • Migon, H. S. and Medici, E. V. (2001). Bayesian Hierarchical Models for Stochastic Production Frontier, Unpublished Manuscript, Institute of Mathematics, Federal University of Rio de Janeiro, Brazil.
  • Metropolis, N., Rosenbluth, A. W., Rosenbluth, M. N., Teller, A. H., and Teller, E. (1953). Equation of State Calculations by Fast Computing Machines, Journal of Chemical Physics, 21(6), 1087-1092.
  • Meeusen, W. and van den Broeck, J. (1977). Eciency Estimation from Cobb-Douglas Production Functions with Composed Error, Inter- national Economic Review, 18(2), 435-444.
  • Ley, E. (1990). A Bibliography on Production and Eciency, Mimeo, Department of Economics, University of Michigan, Ann Arbor, MI 48109, 32.
  • Lee, L. F. and Tyler, W. G. (1978). The Stochastic Frontier Production Function and Average Eciency, Journal of Econometrics, 7(3), 385- 389.
  • Lee, L. F. (1983). A Test for Distributional Assumptions for the Stochastic Frontier Functions, Journal of Econometrics, 22(3), 245-267.
  • Kumbhakar, S. C., Ghosh, S., and McGuckin, J. T. (1991). A Generalized Production Frontier Approach for Estimating Determinants of Ineciency in US Dairy Farms, Journal of Business and Economic Statistics, 9(3), 279-286.
  • Kumbhakar, S. C. (1990). Production Frontiers, Panel Data, and Time- Varying Technical Ineciency, Journal of Econometrics, 46, 201-212.
  • Koop, G., Steel, M. F. J., and Osiewalski, J. (1995). Posterior Analysis of Stochastic Frontier Models using Gibbs Sampling, Computational Statistics, 10, 353-373.
  • Koop, G., Osiewalski, J., and Steel, M. F. J. (1997). Bayesian Eciency Analysis through Individual E ects : Hospital Cost Frontier, Journal of Econometrics, 76, 77-105.
  • Koop, G. and Steel, M. F. J. (2001). Bayesian Analysis of Stochastic Frontier Models, A Companion to Theoretical Econometrics, 520- 573.
  • Kim, Y. and Schmidt, P. (2000). A Review and Empirical Comparison of Bayesian and Classical Approaches to Inference on Eciency Levels in Stochastic Frontier Models with Panel Data, Journal of Productivity Analysis, 14, 91-118.
  • Kalirajan, K. (1981). An Econometric Analysis of Yield Variability in Paddy Production, Canadian Journal of Agricultural Economics, 29, 283-294.
  • Jondrow, J., Lovell, C. A. K., Materov, I. S., and Schmidt, P. (1982). On the Estimation of Technical Ineciency in the Stochastic Frontier Production Function Model, Journal of Econometrics, 19, 233-238.
  • Huang, C. J. and Liu, J. T. (1994). Estimation of a Non-Neutral Stochastic Frontier Production Function, Journal of Productivity Analysis, 5(2), 171-180.
  • Hoch, I. (1962). Estimation of Production Function Parameters Combining Time-Series and Cross-Section Data, Econometrica, 30(1), 34-53.
  • Hoch, I. (1955). Estimation of Production Function Parameters and Testing for Eciency, Econometrica, 23(3), 325-326.
  • Hastings, W.K. 1970. Monte Carlo sampling methods using Markov chains and their applications. Biometrika 57(1): 97-109.
  • Grin, J. E. and Steel, M. F. J. (2007). Bayesian Stochastic Frontier Analysis using Winbugs, Journal of Productivity Analysis, 27, 163- 176.
  • Grin, J. E. and Steel, M. F. J. (2004). Semiparameteric Bayesian Inference for Stochastic Frontier Models, Journal of Econometrics, 123, 121-152.
  • Greene, W. H. (1993). The Econometric Approach to Efficiency Analysis, The Measurement of Productive Efficiency : Techniques and Applications, New Y ork : Oxford University Press.
  • Greene, W. H. (1990). A Gamma-Distributed Stochastic Frontier Model, Journal of Econometrics, 46, 141-164.
  • Greene, W. H. (1980b). On the Estimation of a Flexible Frontier Production Model, Journal of Econometrics, 13(1), 101-115.
  • Greene, W. H. (1980a). Maximum Likelihood Estimation of Econometric Frontier Functions, Journal of Econometrics, 13(1), 27-56.
  • Geman, S. and Geman, D. (1984). Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images, IEEE Transactions on Pattern Analysis and Machine Intelligence, 6, 721-741.
  • Gelfand, A. E. and Smith, A. F. M. (1990). Sampling-Based Approaches to Calculating Marginal Densities, Journal of the American Statistical Association, 85, 398-409.
  • Gelfand, A. E. and Dey, D. K. (1994). Bayesian Model Choice : Asymptotics and Exact Calculations, Journal of the Royal Statistical Society, Series B, 56, 501-514.
  • Forsund, F. R., Lovell, C. A. K., and Schmidt, P. (1980). A Survey of Frontier Production Functions and of Their Relationship to Eciency Measurement, Journal of Econometrics, 13(1), 5-25.
  • Dey, D. K. and Tchumtchua, S. (2007). Bayesian Estimation of Stochastic Frontier Models with Multivariate Skew t Error Terms, Communica- tions in Statistics Theory and Methods, 36(5), 907-916.
  • Cornwell, C., Schmidt, P., and Sickles, R. C. (1990). Production Frontiers with Cross-Sectional and Time-Series Variation in Eciency Levels, Journal of Econometrics, 46, 185-200.
  • Cobb, C. and Douglas, P. H. (1928). A Theory of Production, American Economic Review Supplement, 18, 139-165.
  • Christensen, L. R., Jorgenson, D. W., and Lau, L. J. (1973). Transcendental Logarithmic Production Frontiers, Review of Economics and Statistics, 55(1), 28-45.
  • Celeux, G., Forbes, F., Robert, C. P., and Titterington, D. M. (2006). Deviance Information Criteria for Missing Data Models, Bayesian Analysis, 1(4), 651-674.
  • Berndt, E. R. and Christensen, L. R. (1973). The Translog Function and the Substitution of Equipment, Structures and Labor in U.S. Manufacturing 1929-1968, Journal of Econometrics, 1(1), 81-114.
  • Beckers, D. E. and Hammond, C. J. (1987). A Tractable Likelihood Function for the Normal-Gamma Stochastic Frontier Model, Economics Letters, 24, 33-38.
  • Beck, M. (1991). Empirical Applications of Frontier Functions : A Bibliography, Mimeo, Joachim-Ringelnatz-Str. 20, W-6200, Wiesbaden, Germany, 9.
  • Bauer, P. W. (1990). Recent Developments in the Econometric Estimation of Frontiers, Journal of Econometrics, 46, 39-56.
  • Battese, G. E. and Corra, G. S. (1977). Estimation of a Production Frontier Model : With Application to the Pastoral Zone o Eastern Australia, Australian Journal of Agricultural Economics, 21(3), 169-179.
  • Battese, G. E. and Coelli, T. J. (1995). A Model for Technical Ineciency E ects in a Stochastic Frontier Production Function for Panel Data, Empirical Economics, 20, 325-332.
  • Battese, G. E. and Coelli, T. J. (1992). Frontier Production Functions, Technical Eciency and Panel Data : With Application to Paddy Farmers in India, Journal of Productivity Analysis, 3, 153-169.
  • Battese, G. E. and Coelli, T. J. (1988). Prediction of Firm-Level Technical Eciencies with a Generalized Frontier Production Function and Panel Data, Journal of Econometrics, 38, 387-399.
  • Battese, G. E. (1992). Frontier Production Functions and Technical Ef- ciency : A Survey of Empirical Applications in Agricultural Economics, Agricultural Economics, 7, 185-208.
  • Arrow, K. J., Chenery, H. B., Minhas, B. S., and Solow, R. M. (1961). Capital-Labor Substitution and Economic Eciency, Review of Econ- omics and Statistics, 63(3), 225-250.
  • Akaike, H. (1974). A New Look at the Statistical Model Identi cation, IEEE Transactions on Automatic Control, 19(6), 716-723.
  • Aigner, D. J., Lovell, C. A. K., and Schmidt, P. (1977). Formulation and Estimation of Stochastic Frontier Production Function Models, Journal of Econometrics, 6(1), 21-37.