Dedication | p. v |
List of Figures | p. xi |
List of Tables | p. xv |
Preface | p. xvii |
Acknowledgments | p. xxi |
Introduction | p. 1 |
What this work is about | p. 1 |
Improving the nonparametric approach in frontier analysis | p. 4 |
An outline of the work | p. 8 |
Methodology | |
The Measurement of Efficiency | p. 13 |
Productivity and Efficiency | p. 13 |
A short history of thought | p. 16 |
The economic model | p. 19 |
A taxonomy of efficient frontier models | p. 25 |
The nonparametric frontier approach | p. 30 |
Data Envelopment Analysis (DEA) | p. 31 |
Free Disposal Hull (FDH) | p. 33 |
Recent developments in nonparametric efficiency analysis | p. 39 |
Statistical Inference in Nonparametric Frontier Estimation | p. 43 |
Statistical foundation | p. 43 |
Introducing stochastic noise in the model | p. 45 |
Asymptotic results | p. 47 |
Consistency | p. 47 |
Sampling distributions | p. 49 |
Bootstrap techniques and applications | p. 50 |
Bootstrap in frontier models | p. 52 |
Correcting the bias | p. 54 |
Bootstrap confidence intervals | p. 55 |
Is the bootstrap consistent? | p. 56 |
Applications of the bootstrap | p. 63 |
Bootstrapping FDH estimators | p. 64 |
Nonparametric Robust Estimators: Partial Frontiers | p. 65 |
A re-formulation based on the probability of being dominated | p. 66 |
Order-m frontiers and efficiency scores | p. 68 |
Order-¿ quantile-type frontiers | p. 72 |
Properties of partial frontier estimators | p. 77 |
Statistical properties | p. 77 |
Robust estimators of the full frontier | p. 77 |
Advantages of using partial frontiers | p. 78 |
Detection of outliers | p. 79 |
Summary of the results for the output oriented case | p. 81 |
Parametric approximations of robust nonparametric frontiers | p. 85 |
Two stage methods | p. 87 |
The bootstrap algorithms | p. 89 |
Multivariate parametric approximations | p. 90 |
Generalized Cobb-Douglas parametric model | p. 91 |
Translog parametric model | p. 93 |
Conditional Measures of Efficiency | p. 95 |
Explaining efficiency in the literature | p. 96 |
Introducing external-environmental variables | p. 100 |
Conditional full frontier measures | p. 100 |
Conditional order-m measures | p. 101 |
Conditional order-¿ measures | p. 103 |
Summary for the output oriented case | p. 105 |
Bandwidth selection | p. 108 |
Univariate case | p. 109 |
Multivariate case | p. 110 |
An econometric methodology | p. 113 |
Global effect of Z on the production process | p. 113 |
A decomposition of conditional efficiency | p. 119 |
Simulated illustrations | p. 121 |
Univariate Z | p. 122 |
Multivariate Z | p. 124 |
Applications | |
Economies of Scale, Scope and Experience in the Italian Motor-Vehicle Sector | p. 135 |
Introduction | p. 135 |
Data description | p. 139 |
Definition of outputs and inputs | p. 142 |
An exploratory investigation | p. 145 |
Aggregation of inputs and outputs | p. 148 |
Testing returns to scale and bootstrapping efficiency scores | p. 151 |
Economies of scale | p. 157 |
Economies of scope | p. 160 |
Economies of experience | p. 163 |
Conclusions | p. 164 |
Age, Scale and Concentration Effects in a Public Research System | p. 167 |
Introduction | p. 167 |
Data description | p. 176 |
Scale and concentration effects | p. 178 |
Age effects on CNR scientific productivity | p. 181 |
Robust parametric approximation of multioutput distance function | p. 186 |
Conclusions | p. 191 |
Exploring the Effects of Manager Tenure, fund Age and their Interaction | p. 193 |
Introduction | p. 193 |
Data description | p. 196 |
Impact of mutual fund manager tenure on performance | p. 199 |
Interaction between manager tenure and fund age | p. 208 |
Conclusions | p. 216 |
Conclusions | p. 217 |
References | p. 221 |
Topic Index | p. 243 |
Author Index | p. 245 |
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