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Efficiency Measurement

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Title: Modeling Consumer Decision Making and Discrete Choice Behavior Author: Valued Sony Customer Last modified by: Bill Created Date: 6/17/2001 7:05:03 PM – PowerPoint PPT presentation

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Title: Efficiency Measurement


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 Modelwith a Statistical
Basis
7
Extensions
  • Cost frontiers, based on duality results
  • ln y f(x) u ?? ln C g(y,w) u
  • u gt 0. u gt 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
  • N123 minus 6 tiny firms
  • X capital, labor, fuel
  • Y millions of KWH
  • Cobb-Douglas Production Function vs. DEA
  • (See Coelli and Perelman (1999).)

11
(No Transcript)
12
Comparing the Two Methods.
13
Total Factor Productivity
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