This paper focuses on the construction of a composite indicator for the knowledge based economy using imprecise data. Specifically, for some indicators we only have information on the bounds of the interval within which the true value is believed to lie. The proposed approach is based on a...

The need for monitoring countries’ overall performance in sustainable development (SD) is widely recognized, but the methods for aggregating vast amounts of empirical data remain rather crude. This paper examines the so-called ‘benefit of doubt’ weighting method as a tool for identifying...

The need for monitoring countries’ overall performance in Sustainable Development (SD) is widely recognized, but the methods for aggregating vast amounts of empirical data remain rather crude. This paper examines the so-called ‘benefit-of-the-doubt’ weighting method as a tool for...

The Law of One Price (LoOP) states that all firms face the same prices for their inputs and outputs in the competitive market equilibrium. This law has powerful implications for productive efficiency analysis, which have remained unexploited thus far. This paper shows how LoOP-based weight...

We discuss the nonparametric approach to profit efficiency analysis at the firm and industry levels in the absence of complete price information, and propose two new insights. First, choosing one commodity (whose price is known) as a numeraire good enables us to measure profit inefficiency in...

We reconsider the motivation of Data Envelopment Analysis (DEA), the non-parametric technique that is widely employed for analyzing productive efficiency in academia, the private sector and the public sector. We first argue that the conventional engineering motivation of DEA can be problematic...

We compare two manipulative forces from our daily shopping environment: store environment and advertising. Deviating from existing studies in the literature, we isolate store environment and advertising by using a simple experimental design, and we use a revealed preference methodology for...

We reconsider the motivation of Data Envelopment Analysis (DEA), the non-parametrictechnique that is widely employed for analyzing productive efficiency in academia, the privatesector and the public sector. We first argue that the conventional engineering motivationof DEA can be problematic...

We argue that efficiency assessments of academic research should focus on micro-units of research production rather than on conventionally employed (aggregated) macro-units, and show that such a detailed analysis of research performance provides interesting insights. In addition, we propose a...

We develop a positive non-parametric model of public sector production that allows us to test whether an implicit procedure of cost minimization at shadow prices can rationalize the outcomes of public sector activities. The basic model focuses on multiple C-outputs and does not imply any...