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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
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Efficiency Measurement
William GreeneStern School of BusinessNew York University
Lab Session 3
Heterogeneity
WHO Data
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)
Heterogeneous Frontier Model
FRONTIER ; LHS = LDALE ; RHS = ONE,LHEXP,LHEXP2,LEDUC,
VOICE,GEFF,LPOPDEN,TROPICS
; EFF = UI_WHO $
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
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 $
Efficiency Estimates|Load Factor
Model Command for Heteroscedasticity
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
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
Parametric vs. Nonparametric
Latent Class Model