Probabilistic characterization of directional distances and their robust versions

A-Tier
Journal: Journal of Econometrics
Year: 2012
Volume: 166
Issue: 2
Pages: 342-354

Score contribution per author:

2.011 = (α=2.01 / 2 authors) × 2.0x A-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

Abstract

In this work, we analyze the performance of production units using the directional distance function which allows to measure the distance to the frontier of the production set along any direction in the inputs/outputs space. We show that this distance can be expressed as a simple transformation of radial or hyperbolic distance. This formulation allows to define robust directional distances in the lines of α-quantile or order-m partial frontiers and also conditional directional distance functions, conditional to environmental factors. We propose simple methods of estimation and derive the asymptotic properties of our estimators.

Technical Details

RePEc Handle
repec:eee:econom:v:166:y:2012:i:2:p:342-354
Journal Field
Econometrics
Author Count
2
Added to Database
2026-01-29