Persistent and transient productive inefficiency: a maximum simulated likelihood approach

Abdulai A, Tietje H (2007) Estimating technical efficiency under unobserved heterogeneity with stochastic frontier models: application to northern German dairy farms. Eur Rev Agric Econ 34(3):393–416

Ahn SC, Sickles RC (2000) Estimation of long-run inefficiency levels: a dynamic frontier approach. Econometric Reviews 19(4):461–492

Aigner D, Lovell CAK, Schmidt P (1977) Formulation and estimation of stochastic frontier production function models. J Econ 6(1):21–37

Azzalini A (1985) A class of distributions which includes the normal ones. Scand J Stat 12:171–178

Baranzini A, Faust AK (2014) Water supply: the cost structure of water utilities in Switzerland. J Prod Anal 41:383–397

Battese GE, Coelli TJ (1992) Frontier production functions, technical efficiency and panel data: with application to paddy farmers in India. In: Gulledge TRG Jr, Lovell CAK (eds) International applications of productivity and efficiency analysis. Springer, Netherlands, pp 149–165

Battese GE, Coelli TJ (1995) A model for technical inefficiency effects in a stochastic frontier production function for panel data. Empir Econ 20(2):325–332

Butler J, Moffitt R (1982) A computationally efficient quadrature procedure for the one factor multinomial probit model. Econometrica 50:761–764

Chen Y, Schmidt P, Wang P (2014) Consistent estimates of the fixed effects stochastic frontier model. J Econ 181:65–76

Colombi R (2010) A skew normal stochastic frontier model for panel data. In: Proceedings of the 45-th scientific meeting of the Italian statistical society

Colombi R, Martini G, Vittadini G (2011) A stochastic frontier model with short-run and long-run inefficiency random effects. In: Department of Economics and Technology Management, Universita Di Bergamo, Italy

Colombi R, Kumbhakar S, Martini G, Vittadini G (2014) Closed-skew normality in stochastic frontiers with individual effects and long/short-run efficiency. J Prod Anal (Published online)

Cornes R (1992) Duality and modern economics. CUP Archive

Cornwell C, Schmidt P, Sickles RC (1990) Production frontiers with cross-sectional and time-series variation in efficiency levels. J Econ 46(1–2):185–200

Cuesta RA (2000) A production model with firm-specific temporal variation in technical inefficiency: with application to spanish dairy farms. J Prod Anal 13(2):139–158

Farsi M, Filippini M, Greene W (2005a) Efficiency measurement in network industries: application to the swiss railway companies. J Regul Econ 28(1):69–90

Farsi M, Filippini M, Kuenzle M (2005b) Unobserved heterogeneity in stochastic cost frontier models: an application to Swiss nursing homes. Appl Econ 37(18):2127–2141

Greene W (2004) Distinguishing between heterogeneity and inefficiency: stochastic frontier analysis of the World Health Organization’s panel data on national health care systems. Health Econ 13(10):959–980. doi: 10.1002/hec.938

Greene W (2005a) Reconsidering heterogeneity in panel data estimators of the stochastic frontier model. J Econ 126(2):269–303. doi: 10.1016/j.jeconom.2004.05.003

Greene W (2005b) Fixed and random effects in stochastic frontier models. J Prod Anal 23(1):7–32

Greene W (2008) The econometric approach to efficiency analysis. In: Fried HO, Lovell CAK, Shelton SS (eds) The measurement of productivity efficiency and productivity growth. Oxford University Press, Oxford, pp 92–250

Jondrow J, Lovell CAK, Materov IS, Schmidt P (1982) On the estimation of technical inefficiency in the stochastic frontier production function model. J Econ 19(2–3):233–238

Kumbhakar SC (1990) Production frontiers, panel data, and time-varying technical inefficiency. J Econ 46(1–2):201–211

Kumbhakar SC, Lovell CAK (2003) Stochastic frontier analysis. Cambridge University Press, Cambridge

Kumbhakar EG, Tsionas SC (2012) Firm heterogeneity, persistent and transient technical inefficiency: a generalized true random effects model. J Appl Econ 29(1):110–132

Kumbhakar SC, Wang H-J (2005) Production frontiers, panel data, and time-varying technical inefficiency. J Econ 46(1):201–211

Kumbhakar SC, Lien G, Hardaker JB (2012) Technical efficiency in competing panel data models: a study of Norwegian grain farming. J Prod Anal 41(2):321–337

Lee Y, Schmidt P (1993) A production frontier model with flexible temporal variation in technical efficiency. In: Fried KLH, Schmidt S (eds) The measurement of productive efficiency. Oxford University Press, Oxford

Mundlak Y (1978) On the pooling of time series and cross section data. Econometrica 46(1):69–85

Parmeter C, Kumbhakar S (2015) Efficiency analysis: a primer on recent advances. Found Trends Econ 7(3–4):1–115

Pitt MM, Lee L-F (1981) The measurement and sources of technical inefficiency in the Indonesian weaving industry. J Dev Econ 9(1):43–64

Schmidt P, Sickles RC (1984) Production frontiers and panel data. J Bus Econ Stat 2(4):367–374

Train K (2003) Discrete choice methods with simulation. Cambridge University Press, Cambridge

Wooldridge JM (2010) Correlated random effects models with unbalanced data. MIMEO, University of Michigan, Ann Arbor