Download presentation
Presentation is loading. Please wait.
1
Efficiency Measurement
William Greene Stern School of Business New York University
2
Session 2 Frontier Functions
3
Deterministic Frontier: Programming Estimators
4
Estimating Inefficiency
5
Statistical Problems with Programming Estimators
They do correspond to MLEs. The likelihood functions are “irregular” There are no known statistical properties – no estimable covariance matrix for estimates. They might be “robust,” like LAD. Noone knows for sure. Never demonstrated.
6
An Orthodox Frontier Model with a Statistical Basis
7
Extensions Cost frontiers, based on duality results:
ln y = f(x) – u ln C = g(y,w) + u’ u > 0. u’ > 0. Economies of scale and allocative inefficiency blur the relationship. Corrected and modified least squares estimators based on the deterministic frontiers are easily constructed.
8
Data Envelopment Analysis
9
Methodological Problems with DEA
Measurement error Outliers Specification errors The overall problem with the deterministic frontier approach
10
DEA and SFA: Same Answer?
Christensen and Greene data N=123 minus 6 tiny firms X = capital, labor, fuel Y = millions of KWH Cobb-Douglas Production Function vs. DEA (See Coelli and Perelman (1999).)
12
Comparing the Two Methods.
13
Total Factor Productivity
Similar presentations
© 2024 SlidePlayer.com. Inc.
All rights reserved.