24
Efficiency Measurement William Greene Stern School of Business New York University

Efficiency Measurement

  • Upload
    benita

  • View
    21

  • Download
    0

Embed Size (px)

DESCRIPTION

William Greene Stern School of Business New York University. Efficiency Measurement. Lab Session 3. Heterogeneity. WHO Data. Heterogeneous Frontier Command. FRONTIER [; COST] ; LHS = the variable ; RHS = ONE, the variables, - PowerPoint PPT Presentation

Citation preview

Page 1: Efficiency Measurement

Efficiency Measurement

William GreeneStern School of BusinessNew York University

Page 2: Efficiency Measurement

Lab Session 3

Heterogeneity

Page 3: Efficiency Measurement
Page 4: Efficiency Measurement

WHO Data

Page 5: Efficiency Measurement

Heterogeneous Frontier Command

FRONTIER [; COST] ; LHS = the variable

; RHS = ONE, the variables, the additional variables ; EFF = the new variable $

ε(i) = v(i) +/- u(i)

Page 6: Efficiency Measurement

Heterogeneous Frontier Model

FRONTIER ; LHS = LDALE ; RHS = ONE,LHEXP,LHEXP2,LEDUC,

VOICE,GEFF,LPOPDEN,TROPICS

; EFF = UI_WHO $

Page 7: Efficiency Measurement
Page 8: Efficiency Measurement

Heteroscedasticity

ui u i

vi v i

Either or both of

exp[ ]

(heteroscedasticity in inefficiency)

exp[ ]

(heteroscedasticity in random shift)

Variables may be the same or different.

w

w

Page 9: Efficiency Measurement

Effects of Environmental Variable on Efficiency

? Frontier cost function with environmental? Variables, load factor, points served, stage? Length.FRONTIER ; Cost ; Lhs = lc ; Rhs = one,…, loadfctr,log(points),log(stage) $

? How does load factor affect efficiency?SIMULATE ; scenario: & loadfctr = .4(.025).95 ; plot $

Page 10: Efficiency Measurement
Page 11: Efficiency Measurement

Efficiency Estimates|Load Factor

Page 12: Efficiency Measurement
Page 13: Efficiency Measurement

Model Command for Heteroscedasticity

Page 14: Efficiency Measurement
Page 15: Efficiency Measurement
Page 16: Efficiency Measurement

Heterogeneity in the Mean of u(i)

i

i i

2i

i

Mean of u depends on measured variables

u | U |

U ~ N[ , ] (may be heteroscedastic)

= i u

iz

Page 17: Efficiency Measurement
Page 18: Efficiency Measurement
Page 19: Efficiency Measurement

Nonparametric Frontier

Frontier with local

Compute residuals then estimate and given the set of residuals from the nonparametric frontier

Compute efficiencies using residuals and and

Page 20: Efficiency Measurement

Parametric vs. Nonparametric

Page 21: Efficiency Measurement
Page 22: Efficiency Measurement
Page 23: Efficiency Measurement

Latent Class Model

Page 24: Efficiency Measurement