Author Page for Andrew L Johnson

Data Envelopment Analysis as Nonparametric Least Squares Regression

Kuosmanen, T. and A.L. Johnson, 2010. “Data Envelopment Analysis as Nonparametric Least Squares Regression.” Operations Research 58(1): 149-160.

Number of pages: 30 Posted: 11 Jul 2008 Last Revised: 23 Feb 2018

Timo Kuosmanen and Andrew L Johnson

Turku School of Economics and Texas A&M University

Downloads 833 (47,348)

Citation 5

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The Effect of Performance Measurement Systems on Productive Performance: An Empirical Study of Italian Manufacturing Firms

Number of pages: 37 Posted: 23 Oct 2015

Han Kyul Oh, Andrew L Johnson, Lorenzo Lucianetti and Seokjun Youn

Tilburg School of Economics and Management, Texas A&M University, University of Chieti and Pescara and Eller College of Management, University of Arizona

Downloads 396 (120,398)

Citation 1

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How Operational Conditions and Practices Affect Productive Performance? Efficient Semi-Parametric One-Stage Estimators

Number of pages: 67 Posted: 11 Oct 2009 Last Revised: 03 Nov 2009

Andrew L Johnson and Timo Kuosmanen

Texas A&M University and Turku School of Economics

Downloads 162 (291,213)

Citation 4

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Rational Inefficiency: A Nash-Cournot Oligopolistic Market Equilibrium

Lee, C-Y. and A.L. Johnson, 2015. “Measuring Efficiency in Imperfectly Competitive Markets: An Example of Rational Inefficiency,” Journal of Optimization Theory and Applications 164(2): 702–722.

Number of pages: 45 Posted: 20 Apr 2012 Last Revised: 23 Feb 2018

Chia-Yen Lee and Andrew L Johnson

National Cheng Kung University and Texas A&M University

Downloads 161 (292,755)

Citation 2

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A More Efficient Algorithm for Convex Nonparametric Least Squares

European Journal of Operational Research, 227 (2), 391-400

Number of pages: 28 Posted: 08 Jan 2012 Last Revised: 19 Jul 2013

Chia-Yen Lee, Andrew L Johnson, Erick Moreno-Centeno and Timo Kuosmanen

National Cheng Kung University, Texas A&M University, Texas A&M University and Turku School of Economics

Downloads 155 (302,185)

Citation 3

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The Hyperbolic Oriented Efficiency Measure as a Remedy to Infeasibility of Super Efficiency Models

Johnson, A.L. and L.F. McGinnis, 2009. “The Hyperbolic Oriented Efficiency Measure as a Remedy to Infeasibility of Super Efficiency Models.” Journal of the Operational Research Society 60(11): 1511-1517.

Number of pages: 16 Posted: 31 Jul 2006 Last Revised: 23 Feb 2018

Andrew L Johnson and Leon McGinnis

Texas A&M University and Georgia Institute of Technology - The H. Milton Stewart School of Industrial & Systems Engineering (ISyE)

Downloads 144 (320,984)

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Effectiveness: A Measure of Demand Effect in Productivity Analysis

Lee, C-Y. and A.L. Johnson, 2015. “Effective Production: Measuring of the Sales Effect using Data Envelopment Analysis” Annals of Operational Research 235(1): 453–486.

Number of pages: 32 Posted: 29 May 2012 Last Revised: 23 Feb 2018

Chia-Yen Lee and Andrew L Johnson

National Cheng Kung University and Texas A&M University

Downloads 138 (331,882)

Citation 3

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8.

An Outlier Detection Methodology with Consideration for an Inefficient Frontier

Johnson, A.L. and L.F. McGinnis, 2008. “Outlier Detection in Two-Stage Semiparametric DEA Models.” European Journal of Operational Research 187(2): 629-635.

Number of pages: 27 Posted: 03 Aug 2006 Last Revised: 23 Feb 2018

Andrew L Johnson and Leon McGinnis

Texas A&M University and Georgia Institute of Technology - The H. Milton Stewart School of Industrial & Systems Engineering (ISyE)

Downloads 138 (331,882)

Citation 1

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9.

Three-Stage DEA Models for Incorporating Exogenous Inputs

Estella, S., A.L. Johnson, and J. Ruggiero, 2010. “Three-stage DEA Models for Incorporating Exogenous Inputs.” Computers and Operations Research 37(6): 1087-1090.

Number of pages: 17 Posted: 01 Oct 2009 Last Revised: 23 Feb 2018

Sarah M. Estelle, Andrew L Johnson and John Ruggiero

Rhodes College, Texas A&M University and University of Dayton - School of Business Administration - Department of Economics and Finance

Downloads 135 (337,626)

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Orthogonality Conditions for Identification of Joint Production Technologies: Axiomatic Nonparametric Approach to the Estimation of Stochastic Distance Functions

Number of pages: 38 Posted: 05 May 2015

Timo Kuosmanen, Andrew L Johnson and Christopher Parmeter

Turku School of Economics, Texas A&M University and University of Miami

Downloads 129 (349,483)

Citation 1

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Power Curve Estimation: Functional Estimation Imposing the Regular Ultra Passum Law

Number of pages: 42 Posted: 21 Jun 2015 Last Revised: 19 Feb 2017

Hoon Hwangbo, Andrew L Johnson and Yu Ding

Texas A&M University - College of Engineering, Texas A&M University and Texas A&M University - College of Engineering

Downloads 114 (382,495)

Citation 2

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Large-Scale Internet Benchmarking: Technology and Application in Warehousing Operations

Johnson, A. L., W.-C. Chen and L. F. McGinnis, 2010. “Large-scale Internet benchmarking: Technology and application in warehousing operations.” Computers in Industry 61:280-286.

Number of pages: 25 Posted: 09 Jan 2012 Last Revised: 23 Feb 2018

Andrew L Johnson, Wen-Chih Chen and Leon McGinnis

Texas A&M University, National Chiao-Tung University - Department of Industrial Engineering and Management and Georgia Institute of Technology - The H. Milton Stewart School of Industrial & Systems Engineering (ISyE)

Downloads 76 (496,851)

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13.

Proactive Data Envelopment Analysis: Effective Production and Capacity Expansion under Stochastic Environment

Lee, C-Y. and A.L. Johnson, 2014. “Proactive Data Envelopment Analysis: Effective Production and Capacity Expansion in Stochastic Environments” European Journal of Operational Research 232(1): 537-548.

Number of pages: 33 Posted: 13 Nov 2012 Last Revised: 23 Feb 2018

Chia-Yen Lee and Andrew L Johnson

National Cheng Kung University and Texas A&M University

Downloads 67 (532,130)

Citation 2

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A Birth-Death Markov Chain Monte Carlo Method to Estimate the Number of States in a State-Contingent Production Frontier Model

Preciado Arreola, J.L. and A.L. Johnson, 2015. “A Birth-Death Markov Chain Monte Carlo method to estimate the number of states in a state-contingent production frontier model.” American Journal of Agricultural Economics 97(4): 1267–1285.

Number of pages: 43 Posted: 12 Jun 2014 Last Revised: 23 Feb 2018

Jose Preciado Arreola and Andrew L Johnson

Texas A&M University and Texas A&M University

Downloads 57 (576,718)

Citation 1

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Scope Properties: Nonparametric Assessment, Policy Insights and Functional Estimation

Pope, B. and A.L. Johnson, 2013. “Scope Properties: Nonparametric Assessment, Policy Insights and Functional Estimation” Journal of Productivity Analysis 40(2): 239-250.

Number of pages: 26 Posted: 19 Apr 2011 Last Revised: 23 Feb 2018

Brandon Pope and Andrew L Johnson

affiliation not provided to SSRN and Texas A&M University

Downloads 53 (596,146)

Citation 1

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16.

Multilateral Contracting and Prevention

Pope, B., A. Deshmukh, A.L. Johnson, and J.J. Rohack, 2014. "Multilateral Contracting and Prevention" Health Economics 23(4): 397-409.

Number of pages: 33 Posted: 19 Apr 2011 Last Revised: 23 Feb 2018

Brandon Pope, Abhijit Deshmukh, Andrew L Johnson and James Rohack

affiliation not provided to SSRN, affiliation not provided to SSRN, Texas A&M University and affiliation not provided to SSRN

Downloads 52 (601,434)

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Imposing Conservation of Mass in Abatement Function Estimates: NO_x Generation in Coal-Fired Power Plants

Number of pages: 44 Posted: 30 Jan 2012

Maethee Mekaroonreung and Andrew L Johnson

Texas A&M University - College of Engineering and Texas A&M University

Downloads 44 (644,769)

Citation 1

Andrew L Johnson

Texas A&M University

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Scholarly Papers (17)

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