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...

The least squares estimator is probably the most frequently used estimation method in regression analysis. Unfortunately, it is also quite sensitive to data contamination and model misspecification. Although there are several robust estimators designed for parametric regression models that can...

We propose an Instrumental Variable method for Generalised Accelerated Failure Time (GAFT) models that adjust for possible endogeneity of the intervention of interest, without suffering the problems of the intention-to-treat method. We develop an estimatiom procedure that collapses to the linear...

This work is focused on identifying a circular pull production control system (PPCS) and make emphasis on the presence of a stability attribute. It is an introductory paper to an extended study of macroeconomic financial stability in a physically open but systemic closed system. Previous work...

Data Envelopment Analysis (DEA) is a linear programming based method for evaluating performance of comparable production units such as firms. Although the method is already extensively applied in many areas of economics, its use in environmental economics and related fields remains limited. The...

We develop a method for eco-efficiency analysis of consumer durables by utilizing Data Envelopment Analysis (DEA). In contrast to previous product efficiency studies, we consider the measurement problem from the perspective of a policy maker. The novel innovation of the paper is to measure...

This paper focuses on Stochastic Dominance (SD) efficiency in a finite empirical panel data. We analytically characterize the sets of unsorted time series that dominate a given evaluated distribution by the First, Second, and Third order SD. Using these insights, we develop simple Linear...

The present paper develops a basic framework for evaluating and optimizing profits in a business operation. In developing a business we are often faced with an infinity of choices ranging from what products or services to sell and what customers to target to how to structure and manage the...