On estimating optimal α-returns to scale

Estimating Returns to Scale in the Presence of Undesirable Factors in Data Envelopment Analysis

This research identifies returns to scale (RTS) of efficient decision making units (DMUs) with desirable (good) and undesirable (bad) inputs and outputs by presenting a new DEA (data envelopment analysis) approach. In this study, we first introduce a new input-output oriented model to determine efficient DMUs in the presence of undesirable factors and then, returns to scale of these DMUs are es...

An improved approach for estimating returns to scale in DEA

This article reviews the estimation of Returns To Scale (RTS) in Data envelopment analysis (DEA), presented by Golany and Yu and proposes a new method to do this estimation. we show that the new method does not have the shortcoming of the previous one. Furthermore, it is able to evaluate Returns To Scale (RTS) to the right and left of the given unit in all conditions. This method is elaborated ...

Optimal Investments with Increasing Returns to Scale: a Further Analysis

This paper considers a capital accumulation model that was previously analyzed by Barucci (1998). The specific feature of the model is that revenue is a convex function of the capital stock. We extend Barucci's work by giving a full analytical characterization of the case where a saddle point with a positive capital stock level exists. Furthermore we also analyze the other cases.

Estimating Marginal Returns to Education

Estimating Marginal Returns to Education.

This paper estimates marginal returns to college for individuals induced to enroll in college by different marginal policy changes. The recent instrumental variables literature seeks to estimate this parameter, but in general it does so only under strong assumptions that are tested and found wanting. We show how to utilize economic theory and local instrumental variables estimators to estimate ...