Andrew L Johnson

Texas A&M University

4033 Emerging Technologies Building

College Station, Texas 77843-3131

College Station, TX 77843-4353

United States

http://www.andyjohnson.guru

SCHOLARLY PAPERS

17

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3,078

SSRN CITATIONS
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Top 45,986

in Total Papers Citations

10

CROSSREF CITATIONS

9

Scholarly Papers (17)

1.

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 856 (53,465)
Citation 8

Abstract:

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frontier estimation, nonparametric regression, parametric programming, performance measurement and benchmarking, productive efficiency analysis, data envelopment analysis

2.

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

Number of pages: 37 Posted: 23 Oct 2015
Tilburg School of Economics and Management, Texas A&M University, University of Chieti and Pescara and Eller College of Management, University of Arizona
Downloads 454 (119,394)
Citation 1

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Performance Measurement System (PMS), Productivity Analysis, Italian Manufacturing

3.

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 179 (310,136)
Citation 2

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Cournot-Nash Equilibrium, Oligopolistic Market, Allocative Efficiency, Nonparametric Frontiers

4.

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 168 (327,785)
Citation 4

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Data Envelopment Analysis, two-stage method, partial linear model

5.

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
National Cheng Kung University, Texas A&M University, Texas A&M University and Turku School of Economics
Downloads 166 (331,180)
Citation 3

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Convex Nonparametric Least Squares, Frontier Estimation, Productive Efficiency Analysis, Model Reduction, Computational Complexity

6.

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 162 (338,168)
Citation 3

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data envelopment analysis, effectiveness measure, effective production, strategic position, paradigm shift

7.

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 151 (358,617)

Abstract:

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Data envelopment analysis, hyperbolic distance function, super efficiency

8.

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 144 (372,656)

Abstract:

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data envelopment analysis, Non-discretionary inputs

9.

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 143 (374,678)
Citation 1

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Data envelopment analysis, productivity, inefficient frontier, outlier detection

10.

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 138 (385,214)
Citation 1

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Economies of scope, Efficiency analysis, Endogeneity, Frontier estimation, Simultaneity bias, Productivity measurement

11.

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
University of Tennessee - Department of Industrial and Systems Engineering, Texas A&M University and Texas A&M University - College of Engineering
Downloads 126 (413,434)
Citation 2

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convex nonparametric least squares, curve fitting with shape constraints, nonparametric statistics, production economics analysis, wind energy application

12.

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 81 (558,578)

Abstract:

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Benchmarking, Data Envelopment Analysis, Internet tools, warehousing, performance measurement

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 76 (579,646)
Citation 2

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data envelopment analysis, stochastic programming, short-run capacity expansion, marginal product, demand uncertainty

14.

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 66 (625,564)
Citation 1

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BDMCMC, Bayesian SFA, Stochastic Frontier Analysis, State-contingent production

15.

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 60 (656,512)

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Contracting, Prevention, Moral Hazard, Healthcare Systems

16.

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 60 (656,512)
Citation 1

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Scope, Nonparametric Estimation, Production Functions

17.

Imposing Conservation of Mass in Abatement Function Estimates: NOx 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 48 (726,691)
Citation 1

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Frontier estimation, nonparametric regression, conservation of mass, pollutant function, marginal abatement cost