Frontier and Efficiency Analysis: Stochastic Frontier Analysis

Model frameworks for production or cost

  • Normal-half normal
  • Normal-truncated normal
  • Normal-exponential
  • Normal-gamma

Mean of the one sided (inefficiency) component

  • E[U] = zero mean, the standard case
  • E[U] = nonzero constant mean
  • E[U] = a'z

Variance of the one sided (inefficiency) component

  • Var[U] = homoscedastic
  • Var[U] = exp(c'z) (heteroscedastic)

Variance of the firm specific (symmetric) component

  • Var[v] = homoscedastic
  • Var[v] = exp(d'w) (heteroscedastic)

Doubly heteroscedastic

Estimates of inefficiency measures with all formulations

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Panel data formulations

  • Random effects in specifications
  • Fixed effects
    • Fixed effect in production (cost) function
    • Truncation model with fixed effects
    • Fixed effects in mean of one sided component
    • Fixed effects in variance of one sided component
  • Random parameters
  • Latent class
  • Battese and Coelli panel data models

Frontier and Efficiency Analysis: Data Envelopment Analysis

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Analysis in parallel with stochastic frontier estimation and analysis (the only package available that has both of these methods in one program)

  • Input and output oriented inefficiency – retained in the data set for further analysis
  • Constant, increasing or nonincreasing returns to scale
  • Economic and allocative inefficiency
  • Bootstrapped confidence intervals for efficiency scores
  • Malmquist total factor productivity indexes for panel data
  • Listing of ‘peer’ firms with results

LIMDEP is the only program that provides tools for both stochastic frontier analysis and data envelopment analysis.