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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SSRN CITATIONS
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Top 46,470

in Total Papers Citations

6

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 833 (47,348)
Citation 5

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 396 (120,398)
Citation 1

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

3.

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

4.

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

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 155 (302,185)
Citation 3

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

6.

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)

Abstract:

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Data envelopment analysis, hyperbolic distance function, super efficiency

7.

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

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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Data envelopment analysis, productivity, inefficient frontier, outlier detection

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)

Abstract:

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data envelopment analysis, Non-discretionary inputs

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 129 (349,483)
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
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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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 76 (496,851)

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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 67 (532,130)
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 57 (576,718)
Citation 1

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

15.

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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Scope, Nonparametric Estimation, Production Functions

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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Contracting, Prevention, Moral Hazard, Healthcare Systems

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 44 (644,769)
Citation 1

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