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A review and empirical comparison of Bayesian and classical approaches to inference on efficiency levels in stochastic frontier models with panel data
Kim, Yangseon; Schmidt, Peter - In: Journal of productivity analysis 14 (2000) 2, pp. 91-118
Persistent link: https://www.econbiz.de/10001512661
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Three essays on econometrics
Kim, Myungsup - 2005
Persistent link: https://www.econbiz.de/10003905358
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Mean average estimation of dynamic panel models with nonstationary initial condition
Chao, John C.; Kim, Myungsup; Sul, Donggyu - In: Essays in honor of Peter C. B. Phillips, (pp. 241-279). 2014
Persistent link: https://www.econbiz.de/10010442864
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Festschrift in honor of Peter Schmidt : econometric methods and applications
Sickles, Robin C. (ed.); Schmidt, Peter (honouree);  … - 2014
Persistent link: https://www.econbiz.de/10011539296
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Estimation of a fixed-effect Cobb-Douglas system using panel data
Schmidt, Peter - In: Journal of econometrics 3 (1988), pp. 361-380
Persistent link: https://www.econbiz.de/10001040762
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Econometrics
Schmidt, Peter - 1976
Persistent link: https://www.econbiz.de/10000039490
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Testing the null hypothesis of stationarity against the alternative of a unit root : how sure are we that economic time series have a unit root?
Kwiatkowski, Denis E.; Phillips, Peter C. B.; Schmidt, Peter - 1991
Persistent link: https://www.econbiz.de/10000828125
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On the distribution of estimated technical efficiency in stochastic frontier models
Wang, Wei Siang; Schmidt, Peter - In: Journal of econometrics 148 (2009) 1, pp. 36-45
Persistent link: https://www.econbiz.de/10003813093
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Estimation and inference in parametric deterministic frontier models
Amsler, Christine Elaine; Leonard, Michael; Schmidt, Peter - In: Journal of productivity analysis 40 (2013) 3, pp. 293-305
Persistent link: https://www.econbiz.de/10010411361
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Conditions for the numerical equality of the OLS, GLS and Amemiya-Cragg estimators
Lu, Cuicui; Schmidt, Peter - In: Economics letters 116 (2012) 3, pp. 538-540
Persistent link: https://www.econbiz.de/10009674886