What is a metafrontier? | Quick start | Simulate data | Estimate the metafrontier | Deterministic SFA metafrontier (Battese, Rao, and O'Donnell, 2004) | Stochastic metafrontier (Huang, Huang, and Liu, 2014) | DEA-based metafrontier | Extracting results | Efficiency scores | Technology gap ratio | Coefficients | Model information | Visualisation | TGR distributions | Efficiency scatter | Efficiency decomposition | Hypothesis testing | Poolability test | Convergence diagnostics | Inefficiency distributions | Comparing true and estimated values | Panel SFA Metafrontier | Bootstrap Confidence Intervals for TGR | Murphy-Topel Variance Correction | Latent Class Metafrontier | Directional Distance Functions (DDF) | References

Motivation | The three-way decomposition | Simulating panel data | Computing the index | Detailed results | Interpreting the decomposition | Within-group vs metafrontier Malmquist | Technology gap dynamics | Returns to scale assumptions | Using real-world panel data | Caveats | Interpretation of the index | Cross-period infeasibility | Firm matching | SFA-based index | References

1. The metafrontier framework | 1.1 Group-specific stochastic frontiers | 1.2 The metafrontier | 1.3 The efficiency decomposition | 2. Deterministic metafrontier (Battese, Rao, and O'Donnell, 2004) | 2.1 Estimation | 2.2 Properties | 2.3 Example | 3. Stochastic metafrontier (Huang, Huang, and Liu, 2014) | 3.1 Estimation | 3.2 Advantages over the deterministic approach | 3.3 Caveat: the generated-regressor problem | 3.4 Example | 3.5 A note on TGR values | 4. DEA-based metafrontier | 4.1 Approach | 4.2 Returns to scale | 5. Comparing methods | 6. Choosing a method: practical guidance | 7. Testing for technology heterogeneity | 8. Simulation for Monte Carlo studies | References