CNLS and StoNED
Shape Constraints in Economics and Operations Research
Shape Constrained Kernel-weighted Least Squares: Application to production function estimation for Chilean manufacturing industries
Yagi, D., Y. Chen, A.L. Johnson, and T. Kuosmanen 2018. Accepted, Journal of Business and Economic Statistics.
Other Files:
Modeling joint production of multiple outputs in StoNED: Directional distance function approach
Kuosmanen, T. and A.L. Johnson, 2017. European Journal of Operational Research 262(2): 792-801.
A Production Economics Analysis for Quantifying the Efficiency of Wind Turbines
Insights from Machine Learning for Evaluating Production Function Estimators on Manufacturing Survey Data
Stochastic nonparametric approach to efficiency analysis: A unified framework
Kuosmanen, T., A.L. Johnson, and A. Saastamoinen, 2015, in J. Zhu (Eds) Handbook on Data Envelopment Analysis Vol II, Springer.
An introduction to CNLS and StoNED methods for efficiency analysis: computational aspects and formulations
Johnson, A.L. and T. Kuosmanen, 2015, in S. Ray, S. Kumbhakar, and P. Dua (Eds) Benchmarking for performance evaluation: A
frontier approach, Springer.
Other Files:
- MATLAB code —
Download | Explanation
A Nonparametric Method to Estimate a Technical Change Effect on Marginal Abatement Costs of U.S. Coal Power Plants
Mekaroonreung, M. and A.L. Johnson, 2014. Energy Economics 46: 45-55.
A More Efficient Algorithm for Convex Nonparametric Least Squares
Lee, C.-Y., A.L. Johnson, E.Moreno-Centeno, and T. Kuosmanen, 2013. European Journal of Operational Research 227(2):391-400.
One-Stage and Two-stage DEA Estimation of the Effects of Contextual Variables
Johnson, A.L. and T. Kuosmanen, 2012. European Journal of Operational Research.220(2): 559-570.
Estimating the Shadow Prices of SO2 and NOx for U.S. Coal Power Plants: A Convex Nonparametric Least Squares Approach
Mekaroonreung, M. and A.L. Johnson, 2012. Energy Economics 34(3): 723-732.
One-stage Estimation of the Effects of Operational Condiitions and Practices on Productive Performance: Asymptotically Normal and Efficient, Root-N Consistent StoNEZD Method
Johnson, A.L. and T. Kuosmanen, 2011. Journal of Productivity Analysis 36(2): 219-230.
Data Envelopment Analysis as Nonparametric Least Squares Regression
Kuosmanen, T. and A.L. Johnson, 2010. Operations Research 58(1): 149-160.