Reprint of: Formulation and estimation of stochastic frontier production function models

A-Tier
Journal: Journal of Econometrics
Year: 2023
Volume: 234
Issue: S
Pages: 15-24

Authors (3)

Aigner, Dennis (not in RePEc) Lovell, C.A. Knox Schmidt, Peter (not in RePEc)

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

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

Abstract

Previous studies of the so-called frontier production function have not utilized an adequate characterization of the disturbance term for such a model. In this paper we provide an appropriate specification, by defining the disturbance term as the sum of symmetric normal and (negative) half-normal random variables. Various aspects of maximum-likelihood estimation for the coefficients of a production function with an additive disturbance term of this sort are then considered.

Technical Details

RePEc Handle
repec:eee:econom:v:234:y:2023:i:s:p:15-24
Journal Field
Econometrics
Author Count
3
Added to Database
2026-01-25