What Is the Economic Meaning of FDH? A Reply to Thrall

In a recent issue of the Journal of Productivity Analysis, Thrall (1999) called for abandoning the Free Disposable Hull (FDH, Deprins et al. (1984)) approximation of production possibilities as economically meaningless in comparison to the Convex Monotone Hull (CMH; Banker et al. (1984)) approximation. This strong conclusion was solely based on Thrall's Principal Theorem, which essentially demonstrates that FDH can give a technically efficient classification to output-input vectors that are inefficient in terms of profit maximisation, i.e. at all non-negative price vectors there exists an alternative output-input vector that yields higher profit. In this short communication, we argue that the economic meaning of the competing empirical production sets cannot be inferred from this theorem. Specifically, we demonstrate that both empirical production sets are economically equally meaningful under the economic conditions that underlie Thrall's theorem. In addition, we demonstrate that FDH can be economically more meaningful than CMH under non-trivial alternative economic conditions.

[1]  R. Färe,et al.  Profit, Directional Distance Functions, and Nerlovian Efficiency , 1998 .

[2]  Léopold Simar,et al.  FDH Efficiency Scores from a Stochastic Point of View , 1997 .

[3]  A. Sandmo On the theory of the competitive firm under price uncertainty , 1971 .

[4]  Bernard Thiry,et al.  Allowing for inefficiency in parametric estimation of production functions for urban transit firms , 1992 .

[5]  G. Hasenkamp,et al.  A study of multiple-output production functions: Klein's railroad study revisited , 1976 .

[6]  Henry Tulkens,et al.  Allowing for inefficiency in parametric estimation of production functions for urban transit firms , 1992 .

[7]  H. Varian The Nonparametric Approach to Demand Analysis , 1982 .

[8]  Emmanuel Thanassoulis,et al.  Simulating Weights Restrictions in Data Envelopment Analysis by Means of Unobserved Dmus , 1998 .

[9]  R. Färe,et al.  Measuring congestion in production , 1983 .

[10]  Henry Tulkens,et al.  On FDH efficiency analysis: Some methodological issues and applications to retail banking, courts, and urban transit , 1993 .

[11]  R. Banker,et al.  NONPARAMETRIC ANALYSIS OF TECHNICAL AND ALLOCATIVE EFFICIENCIES IN PRODUCTION , 1988 .

[12]  Marc Nerlove,et al.  Estimation and identification of Cobb-Douglas production functions , 1965 .

[13]  H. Varian The Nonparametric Approach to Production Analysis , 1984 .

[14]  J. J. McCall,et al.  Competitive Production for Constant Risk Utility Functions , 1967 .

[15]  Walter Diewert,et al.  Duality approaches to microeconomic theory , 1993 .

[16]  D. McFadden Cost, Revenue, and Profit Functions , 1978 .

[17]  P. W. Wilson,et al.  Sensitivity Analysis of Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models , 1998 .

[18]  Singiresu S. Rao,et al.  Optimization Theory and Applications , 1980, IEEE Transactions on Systems, Man, and Cybernetics.

[19]  A. Charnes,et al.  Some Models for Estimating Technical and Scale Inefficiencies in Data Envelopment Analysis , 1984 .

[20]  M. Farrell The Measurement of Productive Efficiency , 1957 .

[21]  Robert M. Thrall,et al.  What Is the Economic Meaning of FDH? , 1999 .

[22]  Thierry Post,et al.  A quasi-concave DEA model with an application for bank branch performance evaluation , 2001, Eur. J. Oper. Res..