Theory and Application of Directional Distance Functions

In 1957 Farrell demonstrated how cost inefficiency could be decomposed into two mutually exclusive and exhaustive components: technical and allocative inefficiency. This result is consequence of the fact that—as shown by Shephard—the cost function and the input distance function (the reciprocal of Farrell's technical efficiency measure) are dual to each other. Similarly, the revenue function and the output distance function are dual providing the basis for the decomposition of revenue inefficiency into technical and allocative components (see for example, Färe, Grosskopf and Lovell (1994)). Here we extend those results to include the directional distance function and its dual, the profit function. This provides the basis for defining and decomposing profit efficiency. As we show, the output and input distance functions (reciprocals of Farrell efficiency measures) are special cases of the directional distance function. We also show how to use the directional distance function as a tool for measuring capacity utilization using DEA type techniques.     

The opportunity cost of duality

A dual representation of a technology, e.g., a cost function, may not contain all of the technological information, but it will contain all of the information about input vectors that would be chosen by a cost-minimizing firm. At least this much is clear for deterministic technologies. The main question addressed in this paper is whether the same can be said about stochastic technologies and their dual representations. Despite some pessimism expressed in the stochastic frontier literature on this question, we argue that there is no extra cost imposed in the stochastic case. Thus, the conclusion of this paper is: Just dual it!     

Abstracts

Quality & Quantity -     

Processes and patterns in transitions and system innovations: Refining the co-evolutionary multi-level perspective

This article investigates transitions at the level of societal functions (e.g., transport, communication, housing). Societal functions are fulfilled by sociotechnical systems, which consist of a cluster of aligned elements, e.g., artifacts, knowledge, markets, regulation, cultural meaning, infrastructure, maintenance networks and supply networks. Transitions are conceptualised as system innovations, i.e., a change from one sociotechnical system to another. The article describes a co-evolutionary multi-level perspective to understand how system innovations come about through the interplay between technology and society. The article makes a new step as it further refines the multi-level perspective by distinguishing characteristic patterns: (a) two transition routes, (b) fit–stretch pattern, and (c) patterns in breakthrough.     

Do the Merits Matter More? The Impact of the Private Securities Litigation Reform Act

This article examines the effect of the Private Securities LitigationReform Act of 1995 (PSLRA) on stockholder lawsuits. We explorethe role of restatements, earnings forecasts, and insider tradingin the filing and resolution of lawsuits for a sample of hightechnology firms. Consistent with our predictions, there isa post-PSLRA shift away from litigation based on forward-lookingearnings disclosures. Conversely, there is a significantly greatercorrelation between litigation and both earnings restatementsand abnormal insider selling after the PSLRA. Finally, we finda post-PSLRA increase in the likelihood of settlement for casesinvolving earnings restatements.     

Management situations and the engineering mindset

This paper uses the method of assumptional analysis to understand the behavior patterns and the problem-solving strategies employed by the engineer/scientist. It is shown that the engineering mindset, although useful for the solution of the problem situations that generally arise in the engineering fields, has serious inadequacies, and is often counterproductive, in handling ill-structured management problems; hence, the often reported, less-than-adequate performance of engineers in management situations. This article moves from the analysis of engineering-problem situations to the basic assumptions underlying the engineer's world picture and thence to the engineer's strategies for problem solution. Comparisons with the nature of management situations, the manager's world picture, and his problem-handling activities are made. The analysis is, in the main part, paradigmatic. It is pointed out that the basic feature of all ill-structured problems is that they network across many and diverse knowledge bases. Further, this article argues that a new and different world view needs to be introduced into the training of future generations of engineers, for with the increased networking of society, not just management but also technological problem situations will move more and more towards the ill-structured end of the spectrum.     

Testing the significance and the non-linearity of the Phillips trade-off in the Euro Area

This paper tests the significance and the non-linearity of the Phillips trade-off in the aggregate Euro Area, in an unobserved components model of stochastic NAIRU and trend output featuring the Phillips equation and the Okun law as main identifying equations, with quarterly data for 1970:I-2002:III. The Phillips curve turns out to be linear and its trade-off statistically significant, while non-linearity shows up in the Okun relation. The results prove to be robust to alternative lag length structures of the model, and to alternative non-linear functional forms. The trend-cycle decompositions estimated with the model capture the main features of the Euro Area’s recent macroeconomic record.First version received: 1 September 2003 / Final version received: June 2004CEMPRE - Centro de Estudos Macroeconómicos e Previsão - is supported by the Fundação para a Ciência e a Tecnologia, Portugal, through the Programa Operacional Ciência, Tecnologia e Inovação (POCTI) of the Quadro Comunitário de Apoio III, which is financed by FEDER and Portuguese funds.We thank comments on earlier versions by Fabio Canova, Miguel St Aubyn, Alvaro Almeida, Pete Richardson, Kevin Ross, and two anonymous referees. We acknowledge James D. Hamilton’s help with the confidence bands. The usual disclaimer applies.