Working Paper |
File Downloads |
Abstract Views |

Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |

A Bootstrap Approach for Bandwidth Selection in Estimating Conditional Efficiency Measures |
0 |
0 |
0 |
60 |
0 |
0 |
3 |
118 |

A Bootstrap Approach for Bandwidth Selection in Estimating Conditional Efficiency Measures |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
15 |

A Bootstrap Approach for Bandwidth Selection in Estimating Conditional Efficiency Measures |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
19 |

A General Framework for Frontier Estimation with Panel Data |
0 |
0 |
0 |
21 |
0 |
0 |
1 |
236 |

A General Methodology for Bootstrapping in Nonparametric Frontier Models |
0 |
0 |
0 |
1 |
0 |
0 |
4 |
1,432 |

A Note on the Convergence of Nonparametric DEA Efficiency Measures |
0 |
0 |
0 |
35 |
0 |
0 |
1 |
454 |

A Note on the Convergence of Nonparametric DEA Efficiency Measures |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
971 |

A general framework for frontier estimation with panel data |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
14 |

A mollifier approach to the deconvolution of probability densities |
0 |
0 |
2 |
5 |
2 |
2 |
8 |
21 |

A mollifier approach to the deconvolution of probability densities |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
33 |

A mollifier approach to the deconvolution of probability densities |
0 |
0 |
0 |
2 |
0 |
0 |
1 |
14 |

A mollifier approach to the deconvolution of probability densities |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
2 |

A note on Stieltjes moment sequences |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
9 |

A note on least-squares approximation in the Baesiann analysis of regression models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
19 |

A note on the asymptotic relative efficiency of M.L.E. in a linear model wih gamma disturbances |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
63 |

A note on the asymptotic relative efficiency of M.L.E. in a linear model with gamma disturbances |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
15 |

A survey of Bayesian approaches to nonparametric statistics |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
16 |

Another Look at Productivity Growth in Industrialized Countries |
0 |
0 |
1 |
8 |
0 |
1 |
3 |
6 |

Another Look at the American Electrical Utility Data |
0 |
0 |
0 |
16 |
0 |
0 |
1 |
55 |

Approximations and Inference for Nonparametric Production Frontiers |
0 |
1 |
1 |
6 |
0 |
1 |
2 |
8 |

Approximations and Inference for Nonparametric Production Frontiers |
0 |
0 |
0 |
12 |
0 |
1 |
1 |
9 |

Aspects of Statistical Analysis in DEA-Type Frontier Models |
0 |
0 |
0 |
21 |
0 |
0 |
0 |
442 |

Aspects of statistical analysis in DEA-type frontier models |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
30 |

Asymmetries in Business Cycles and the Role of Oil Prices |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |

Asymmetries in Business Cycles and the Role of Oil Prices |
0 |
1 |
1 |
1 |
0 |
1 |
1 |
5 |

Asymmetries in Business Cycles and the Role of Oil Production |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |

Asymptotic Theory for Aggregate Efficiency |
0 |
0 |
0 |
57 |
0 |
0 |
0 |
88 |

Asymptotic Theory for Aggregate Efficiency |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
7 |

Asymptotic distribution of conical-hull estimators of directional edges |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
5 |

Asymptotics and Consistent Bootstraps for DEA Estimators in Non-parametric Frontier Models |
0 |
0 |
0 |
298 |
0 |
0 |
0 |
604 |

Bayesian predictions: non parametric methods and least-squares approximations |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
10 |

Bootstrap Estimation for Nonparametric Efficiency Estimates |
0 |
0 |
1 |
20 |
0 |
0 |
2 |
81 |

Boundary estimation in the presence of measurement error with unknown variance |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |

Boundary estimation in the presence of measurement error with unknown variance |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |

Categorical data in local maximum likelihood: theory and applications to productivity analysis |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
5 |

Central Limit Theorems and Inference for Sources of Productivity Change Measured by Nonparametric Malmquist Indices |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
7 |

Central Limit Theorems for Aggregate Efficiency |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
10 |

Central Limit Theorems for Directional Distance Functions with and without Undesirable Outputs |
0 |
9 |
9 |
9 |
0 |
4 |
4 |
4 |

Central limit theorems and inference for sources of productivity change measured by nonparametric Malmquist indices |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
7 |

Central limit theorems for conditional efficiency measures and tests of the â€˜separabilityâ€™ condition in non-parametric, two-stage models of production |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
18 |

Computational Efficient, Consistent Bootstrap for Inference with Non-parametric DEA Estimators |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
8 |

Conditional Nonparametric Frontier Models for Convex and Non Convex Technologies: a Unifying Approach |
1 |
3 |
5 |
227 |
1 |
5 |
18 |
605 |

Conical FDH Estimators of Directional Distances and Luenberger Productivity Indices for General Technologies |
0 |
5 |
5 |
5 |
0 |
4 |
4 |
4 |

Conical FDH Estimators of General Technologies, with Applications to Returns to Scale and Malmquist Productivity Indices |
0 |
0 |
1 |
15 |
0 |
1 |
4 |
7 |

Cross-Section Dependence and Latent Heterogeneity to Evaluate the Impact of Human Capital on Country Performance |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
10 |

Data Sharpening for improving CLT approximations for DEA-type efficiency estimators |
3 |
3 |
23 |
72 |
3 |
3 |
23 |
72 |

Data sharpening for improving CLT approximations for DEA-type efficiency estimators |
0 |
0 |
1 |
6 |
0 |
0 |
1 |
7 |

Data sharpening for improving central limit theorem approximations for data envelopment analysis-type efficiency estimators |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
1 |

Decomposing Regional Efficiency |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |

Decomposing regional efficiency |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
3 |

Decomposing regional efficiency |
0 |
0 |
0 |
117 |
0 |
0 |
4 |
218 |

Directional Distances and their Robust versions. Computational and Testing Issues |
0 |
0 |
0 |
54 |
0 |
0 |
2 |
130 |

Directional Distances and their Robust versions: Computational and Testing Issues |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
9 |

Directional distances and their robust versions: Computational and testing issues |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
10 |

Effect of FDI and Time on Catching-up: New Insights from a Conditional Nonparametric Frontier Analysis |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
7 |

Effect of FDI and Time on Catching-up: New Insights from a Conditional Nonparametric Frontier Analysis |
1 |
1 |
1 |
6 |
2 |
2 |
3 |
13 |

Efficiency and University Size: Discipline-wise Evidence from European Universities |
0 |
0 |
1 |
144 |
0 |
0 |
2 |
431 |

Efficiency and benchmarking with directional distances. A data driven approach |
0 |
0 |
0 |
90 |
0 |
0 |
3 |
172 |

Efficiency and benchmarking with directional distances: a data driven approach |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
5 |

Efficiency and benchmarking with directional distances: a data-driven approach |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |

Efficiency and economies of scale and scope in European universities. A directional distance approach |
0 |
0 |
1 |
136 |
1 |
1 |
4 |
345 |

Efficiency and economies of scale and scope in European universities: a directional distance approach |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |

Efficiency and economies of scale and specialization in European universities: a directional distance approach |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
6 |

Efficiency of Italian Municipalities and Waste Regulatory Target |
0 |
0 |
1 |
1 |
0 |
1 |
4 |
4 |

Efficient Estimation of Monotone Boundaries |
0 |
0 |
0 |
2 |
2 |
2 |
3 |
273 |

Efficient Semiparametric Estimation in Stochastic Frontier Model |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
983 |

Efficient semiparametric estimation in a stochastic frontier model |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
93 |

Efficient semiparametric estimation in stochastic frontier model |
0 |
0 |
0 |
15 |
0 |
0 |
0 |
276 |

Estimating Nonparametric Conditional Frontiers and Efficiencies: A New Approach |
0 |
0 |
4 |
58 |
0 |
2 |
11 |
14 |

Estimating a Changepoint, Boundary of Frontier in the Presence of Observation Error |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
285 |

Estimating and bootstrapping malmquist indices |
0 |
0 |
2 |
67 |
0 |
0 |
4 |
734 |

Estimating efficiencies from frontier models with panel data: a comparison of parametric, non-parametric and semi-parametric methods with boot strapping |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
468 |

Estimating efficiencies from frontier models with panel data: a comparison of parametric, non-parametric and semi-parametric metods with bootstrapping |
0 |
0 |
1 |
12 |
0 |
0 |
1 |
38 |

Estimating technical inefficiencies with correction for environmental conditions with an application to railway companies |
0 |
0 |
0 |
12 |
0 |
0 |
0 |
26 |

Estimation and Inference in Nonparametric Frontier Models: Recent Developments and Perspectives |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
7 |

Estimation de frontières déterministes avec facteurs exogènes d'inefficacité |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
23 |

Estimation of monotone boundaries |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
17 |

Estimation of the Boundary of a Variable Observed With Symmetric Error |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |

Estimation of the Boundary of a Variable Observed with A Symmetric Error |
0 |
0 |
0 |
2 |
0 |
0 |
0 |
9 |

Estimation of the Boundary of a Variable Observed with A Symmetric Error |
0 |
0 |
0 |
48 |
0 |
0 |
1 |
40 |

Estimation of the Boundary of a Variable observed with Symmetric Error |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
8 |

Estimation of the Boundary of a Variable observed with Symmetric Error |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |

Estimation of the boundary of a variable observed with symmetric error |
0 |
0 |
0 |
11 |
0 |
1 |
1 |
22 |

Explaining Inefficiency in Nonparametric Production Models: the State of the Art |
0 |
1 |
1 |
1 |
0 |
1 |
2 |
6 |

Explaining inefficiency in nonparametric production models: the state of the art |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
10 |

Fast and Efficient Computation of Directional Distance Estimators |
0 |
0 |
3 |
44 |
0 |
0 |
8 |
95 |

Fast and Efficient Computation of Directional Distance Estimators |
0 |
0 |
0 |
16 |
0 |
0 |
1 |
58 |

Fast and Efficient Computation of Directional Distance Estimators |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
10 |

Fast and efficient computation of directional distance estimators |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
10 |

Forecasting of Recessions via Dynamic Probit for Time Series: Replication and Extension of Kauppi and Saikkonen (2008) |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
14 |

Forecasting of Recessions via Dynamic Probit for Time Series: Replication and Extension of Kauppi and Saikkonen (2008) |
0 |
0 |
0 |
25 |
0 |
0 |
8 |
83 |

Forecasting of recessions via dynamic probit for time series: replication and extension of Kauppi and Saikkonen (2008) |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
8 |

Forecasting the Malmquist Productivity Index |
0 |
0 |
0 |
82 |
0 |
0 |
1 |
170 |

Forecasting the Malmquist Productivity Index |
0 |
0 |
0 |
21 |
0 |
0 |
0 |
99 |

Forecasting the Malmquist productivity index |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
9 |

Frontier Estimation and Extreme Values Theory |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
61 |

Frontier Estimation and Extreme Values Theory |
0 |
0 |
0 |
29 |
0 |
0 |
0 |
63 |

Frontier estimation in nonparametric location-scale models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
5 |

Frontier estimation in nonparametric location-scale models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
12 |

Frontier estimation in the presence of measurement error with unknown variance |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
9 |

Further Improvements of Finite Sample Approximation of Central Limit Theorems for Envelopment Estimators |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
34 |

Further Improvements of Finite Sample Approximation of Central Limit Theorems for Envelopment Estimators |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |

Further Improvements of Finite Sample Approximation of Central Limit Theorems for Envelopment Estimators |
0 |
0 |
3 |
3 |
0 |
0 |
5 |
5 |

Gender effect on microfinance efficiency: A robust nonparametric approach |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
7 |

Gender effect on microfinance social efficiency: A robust nonparametric approach |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
16 |

Gender effect on microfinance social efficiency: A robust nonparametric approach |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
9 |

Gender effect on microfinance social efficiency: A robust nonparametric approach |
0 |
0 |
0 |
10 |
0 |
1 |
1 |
28 |

Generalized nonparametric smoothing with mixed discrete and continuous data |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
3 |

Global Dependence and Productivity: A Robust Nonparametric World Frontier Analysis |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |

Globalization and productivity: A robust nonparametric world frontier analysis |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |

How to Improve the Performances of DEA/FDH Estimators in the Presence of Noise? |
0 |
0 |
0 |
20 |
0 |
0 |
0 |
105 |

How to Measure the Impact of Environmental Factors in a Nonparametric Production Model? |
0 |
0 |
1 |
4 |
0 |
0 |
2 |
14 |

How to measure the impact of environmental factors in a nonparametric production model |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
9 |

How to measure the impact of environmental factors in a nonparametric production model? |
0 |
0 |
0 |
0 |
0 |
3 |
4 |
18 |

Hypothesis Testing in Nonparametric Models of Production using Multiple Sample Splits |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
11 |

Hypothesis Testing in Nonparametric Models of Production using Multiple Sample Splits |
0 |
0 |
0 |
3 |
0 |
0 |
2 |
12 |

Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
11 |

Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |

Improving Finite Sample Approximation by Central Limit Theorems for DEA and FDH efficiency scores |
0 |
0 |
0 |
34 |
0 |
0 |
1 |
76 |

Improving Finite Sample Approximation by Central Limit Theorems for Estimates from Data Envelopment Analysis |
0 |
0 |
0 |
24 |
0 |
0 |
0 |
26 |

Inference by the m out of n bootstrap in nonparametric frontier models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |

Inference for Aggregate Efficiency: Theory and Guidelines for Practitioners |
0 |
0 |
4 |
4 |
0 |
0 |
4 |
4 |

Inference for Aggregate Efficiency: Theory and Guidelines for Practitioners |
0 |
0 |
0 |
24 |
0 |
0 |
7 |
14 |

Inference in Dynamic, Nonparametric Models of Production for General Technologies |
0 |
0 |
9 |
9 |
0 |
0 |
5 |
5 |

Inference in Dynamic, Nonparametric Models of Production: Central Limit Theorems for Malmquist Indices |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
6 |

Inference in Dynamic, Nonparametric Models of Production: Central Limit Theorems for Malmquist Indices |
1 |
1 |
2 |
3 |
1 |
1 |
5 |
9 |

Inference in the Nonparametric Stochastic Frontier Model |
0 |
0 |
0 |
30 |
0 |
0 |
1 |
29 |

Inference in the Nonparametric Stochastic Frontier Model |
1 |
1 |
22 |
65 |
1 |
1 |
24 |
64 |

Inferences From Cross-sectional, Stochastic Frontier Models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |

Innovation and export activities in the German mechanical engineering sector: an application of testing restrictions in production analysis |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
7 |

Introducing Environmental Variables in Nonparametric Frontier Models: a Probabilistic Approach |
1 |
2 |
4 |
280 |
1 |
3 |
8 |
623 |

Investigating the unobserved heterogeneity effect on microfinance social efficiency |
0 |
0 |
1 |
4 |
0 |
1 |
3 |
6 |

Investigating the unobserved heterogeneity effect on outreach to women: lessons from microfinance institutions |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |

Investigating the unobserved heterogeneity effect on outreach to women: lessons from microfinance institutions |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |

Iterated bootstrap with applications to frontier models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
12 |

Iterated bootstrap with applications to frontier models |
0 |
0 |
0 |
164 |
0 |
0 |
1 |
442 |

Iterated bootstrap with applications to frontier models |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
135 |

Latent heterogeneity to evaluate the effect of human capital on world technology frontier |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
9 |

Least squares approximation in Bayesian analysis |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
10 |

Local Likelihood Estimation of Truncated Regression and Its Partial Derivatives: Theory and Application |
0 |
0 |
0 |
182 |
1 |
3 |
3 |
570 |

Local Maximum Likelihood Techniques with Categorical Data |
0 |
0 |
0 |
83 |
0 |
0 |
0 |
303 |

Local likelihood estimation of truncated regression and its partial derivatives: theory and application |
0 |
0 |
0 |
12 |
0 |
1 |
1 |
74 |

Local maximum likelihood techniques with categorical data |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
2 |

Maximum likelihood estimation of a compound Poisson process |
0 |
1 |
1 |
22 |
0 |
2 |
2 |
82 |

Measuring Firm Performance Using Nonparametric Quantile-type Distances |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |

Measuring Firm Performance using Nonparametric Quantile-type Distances |
0 |
0 |
0 |
51 |
0 |
1 |
2 |
98 |

Measuring Firm Performance using Nonparametric Quantile-type Distances |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
9 |

Measuring labor-efficiency in post offices |
1 |
5 |
24 |
299 |
5 |
16 |
77 |
793 |

Methodologies for assessing government efficiency |
0 |
0 |
2 |
40 |
0 |
2 |
7 |
56 |

Methodologies for assessing government efficiency |
0 |
0 |
1 |
1 |
0 |
0 |
12 |
12 |

Modern Tools for Evaluating the Performance of Health-Care Providers |
0 |
0 |
0 |
7 |
0 |
0 |
1 |
12 |

Modified least-squares estimators for deterministic frontier functions |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
47 |

Non Parametric Instrumental Variables Estimation for Efficiency Frontier |
0 |
0 |
1 |
1 |
0 |
0 |
1 |
10 |

Non Parametric Instrumental Variables Estimation for Efficiency Frontier |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |

Non-Parametric Approach to Dynamic Time Series Discrete Choice Models |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
4 |

Nonparametric Estimation of Dynamic Discrete Choice Models for Time Series Data |
0 |
0 |
1 |
59 |
0 |
0 |
2 |
81 |

Nonparametric Estimation of Efficiency in the Presence of Environmental Variables |
0 |
0 |
1 |
113 |
0 |
1 |
3 |
124 |

Nonparametric Estimation of Efficiency in the Presence of Environmental Variables |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
12 |

Nonparametric Least Squares Methods for Stochastic Frontier Models |
0 |
0 |
1 |
101 |
0 |
0 |
2 |
187 |

Nonparametric Least Squares Methods for Stochastic Frontier Models |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
11 |

Nonparametric Least Squares Methods for Stochastic Frontier Models |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
8 |

Nonparametric Robust Stochastic Frontier Analysis: a Tikhonov Regularization Approach |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |

Nonparametric Statistical Analysis of Production |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
7 |

Nonparametric conditional efficiency measures: asymptotic properties |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
7 |

Nonparametric estimation of dynamic discrete choice models for time series data |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |

Nonparametric, Stochastic Frontier Models with Multiple Inputs and Outputs |
0 |
3 |
12 |
60 |
0 |
3 |
20 |
94 |

On Farrell Measures of Technical Efficiency |
0 |
1 |
1 |
14 |
0 |
1 |
2 |
37 |

On Farrell measures of technical efficiency |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
17 |

On estimation of monotone and concave frontier functions |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
19 |

On estimation of monotone and concave frontier functions |
0 |
0 |
0 |
4 |
0 |
0 |
1 |
71 |

On estimation of monotone and concave frontier functions |
0 |
0 |
0 |
6 |
0 |
0 |
0 |
182 |

On estimation of monotone and convex boundaries |
0 |
0 |
0 |
0 |
2 |
2 |
3 |
260 |

On teh inconsistency of bootstrap distribution estimators |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
252 |

On testing equality of distributions of technical efficiency scores |
0 |
0 |
0 |
115 |
0 |
0 |
1 |
319 |

On the inconsistency of bootstrap distribution estimators |
0 |
0 |
2 |
8 |
0 |
0 |
3 |
32 |

Optimal Bandwidth Selection for Conditional Efficiency Measures: a Data-driven Approach |
0 |
0 |
0 |
166 |
0 |
0 |
0 |
362 |

Optimal bandwidth selection for conditional efficiency measures: A data-driven approach |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
9 |

Performance of the Bootstrap for DEA Estimators and Iterating the Principle |
0 |
0 |
0 |
2 |
0 |
0 |
2 |
891 |

Performance of the Bootstrap for DEA Estimators and Iterating the Principle |
0 |
0 |
0 |
1 |
0 |
0 |
1 |
666 |

Performance of the bootstrap for DEA estimators and iterating the principle |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
13 |

Pitfalls of Normal-Gamma Stochastic Frontier Models |
0 |
0 |
0 |
19 |
0 |
0 |
2 |
108 |

Pitfalls of normal-gamma stochastic frontier models |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
28 |

Portfolio Selection in a Multi-Input Multi-Output Setting: a Simple Monte-Carlo-FDH Algorithm |
0 |
0 |
0 |
45 |
0 |
0 |
1 |
54 |

Portfolio Selection in a Multi-Input Multi-Output Setting:a Simple Monte-Carlo-FDH Algorithm |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |

Portfolio selection in a multi-moment setting: A simple Monte-Carlo-FDH algorithm |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |

Predicting Recessions with a Frontier Measure of Output Gap: An Application to Italian Economy |
0 |
0 |
0 |
28 |
1 |
1 |
1 |
31 |

Predicting Recessions: A New Measure of Output Gap as Predictor |
0 |
0 |
0 |
3 |
1 |
1 |
1 |
12 |

Predicting Recessions: A New Measure of Output Gap as Predictor |
0 |
0 |
0 |
56 |
0 |
2 |
2 |
80 |

Predicting recessions with a frontier measure of output gap: an application to Italian economy |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |

Probabilistic Characterization of Directional Distances and their Robust Versions |
0 |
0 |
0 |
47 |
0 |
0 |
0 |
128 |

Probabilistic characterization of directional distances and their robust versions |
0 |
0 |
0 |
0 |
0 |
1 |
2 |
6 |

Probabilistic characterization of directionaldistances and their robustversions |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |

Productivity Growth in Industrialized Countries |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
1,147 |

Productivity Measurement In Radial Dea Models With Multiple Constant Inputs |
0 |
0 |
0 |
25 |
0 |
0 |
0 |
83 |

Productivity growth in industrialized countries |
0 |
1 |
2 |
134 |
0 |
3 |
11 |
603 |

Proportional Incremental Cost Probability Functions and their Frontiers |
0 |
0 |
0 |
10 |
0 |
0 |
2 |
12 |

Proportional incremental cost probability functions and their frontiers |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
0 |

Protecting against gross errors: the aid of Bayesian methods |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
7 |

Quality and its Impact on Efficiency |
1 |
3 |
9 |
36 |
2 |
14 |
45 |
186 |

Quality and its Impact on Efficiency |
0 |
0 |
0 |
28 |
0 |
0 |
1 |
50 |

Quality and its impact on efficiency |
0 |
0 |
0 |
8 |
0 |
0 |
1 |
13 |

Quality as a Latent Heterogeneity Factor in the Efficiency of Universities |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |

Rankings and university performance: A conditional multidimensional approach |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
7 |

Rankings and university performance: a conditional multidimensional approach |
0 |
0 |
0 |
102 |
0 |
0 |
1 |
147 |

Rankings and university performance: a conditional multidimensional approach |
0 |
0 |
0 |
3 |
0 |
0 |
2 |
14 |

Regularization of Nonparametric Frontier Estimators |
0 |
0 |
0 |
46 |
0 |
0 |
0 |
102 |

Regularization of Nonparametric Frontier Estimators |
0 |
0 |
0 |
10 |
0 |
0 |
0 |
73 |

Regularization of nonparametric frontier estimators |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |

Revisiting Forecasting of Recessions via Dynamic Probit for Time Series by Kauppi and Saikkonen (2008) |
0 |
0 |
0 |
21 |
0 |
0 |
1 |
35 |

Robust frontier estimation from noisy data: a Tikhonov regularization approach |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
9 |

Robust frontier estimation from noisy data: a Tikhonov regularization approach |
0 |
0 |
0 |
6 |
1 |
1 |
2 |
15 |

Robust frontier estimation from noisy data: a Tikhonov regularization approach |
0 |
0 |
0 |
49 |
0 |
0 |
1 |
68 |

Robustified expected maximum production frontiers |
0 |
0 |
0 |
24 |
1 |
1 |
3 |
47 |

Robustified expected maximum production frontiers |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
4 |

Robustified expected maximum production frontiers |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
7 |

Scale and research specialization in European Universities: a directional distance approach to teaching efficiency |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |

Schooling inputs, property tax caps and effciency scores in public schools |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |

Semi parametric efficient estimation of dynamic panel data models |
0 |
0 |
0 |
171 |
0 |
0 |
0 |
355 |

Semiparametric Efficient Estimation of AR(1) Panel Data Models |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
469 |

Semiparametric Efficient Estimation of AR(1) Panel Data Models |
0 |
0 |
1 |
167 |
0 |
1 |
2 |
452 |

Semiparametric estimation in single index poisson regression: A practical approach |
0 |
0 |
0 |
44 |
0 |
0 |
1 |
243 |

Sensitivity Analysis to Efficiency Scores: How to Bootstrap in Nonparametric Frontier Models |
0 |
0 |
2 |
149 |
1 |
1 |
4 |
855 |

Sensitivity analysis of efficiency scores: how to bootstrap in nonparametric frontier models |
1 |
3 |
7 |
49 |
1 |
4 |
12 |
214 |

Sensitivity to measurement errors of the distance to the efficient frontier |
0 |
0 |
1 |
1 |
0 |
0 |
2 |
2 |

Sensitivity to measurement errors of the distance to the efficient frontier |
0 |
0 |
0 |
2 |
0 |
0 |
8 |
16 |

Single-index modeling of conditional probabilities in two-way contingency tables |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |

Some problems with the Ferrier/Hirschberg bootstrap idea |
0 |
0 |
0 |
18 |
0 |
0 |
0 |
445 |

Statistical Approaches for Nonparametric Frontier Models: A Guided Tour |
0 |
0 |
0 |
3 |
0 |
1 |
1 |
20 |

Statistical Approaches for Nonparametric Frontier Models: A Guided Tour |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
17 |

Statistical Inference for Aggregation of Malmquist Productivity Indices |
0 |
2 |
3 |
44 |
0 |
2 |
6 |
96 |

Statistical Inference for Aggregation of Malmquist Productivity Indices |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
1 |

Statistical Inference for Aggregation of Malmquist Productivity Indices |
0 |
1 |
3 |
9 |
0 |
2 |
8 |
15 |

Statistical Inference for DEA Estimators of Directional Distances |
0 |
0 |
0 |
5 |
1 |
1 |
1 |
25 |

Statistical Inference for Hicks–Moorsteen Productivity Indices |
0 |
0 |
10 |
10 |
0 |
0 |
6 |
6 |

Statistical Inference for Hicks–Moorsteen Productivity Indices |
0 |
0 |
8 |
8 |
1 |
1 |
6 |
6 |

Statistical Inference in Nonparametric Frontier Models: the State of the Art |
0 |
0 |
0 |
1 |
0 |
1 |
5 |
1,168 |

Statistical inference for DEA estimators of directional distances |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
5 |

Stochastic FDH/DEA estimators for Frontier Analysis |
0 |
0 |
1 |
826 |
0 |
0 |
2 |
2,272 |

Stochastic FDH/DEA estimators for frontier analysis |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
8 |

Stochastic FDH/DEA estimators for frontier analysis |
0 |
0 |
0 |
0 |
0 |
1 |
5 |
13 |

Stochastic Frontiers: A Semiparametric Approach |
0 |
0 |
0 |
14 |
0 |
0 |
1 |
131 |

Stochastic Frontiers: A Semiparametric Approach |
0 |
0 |
0 |
0 |
0 |
0 |
3 |
346 |

Stochastic Panel Frontiers: A Semiparametric Approach |
0 |
1 |
1 |
25 |
0 |
1 |
1 |
333 |

Stochastic panel frontiers: A semiparametric approach |
0 |
0 |
0 |
5 |
0 |
0 |
1 |
26 |

Technical, Allocative and Overall Efficiency: Inference and Hypothesis Testing |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
9 |

Testing Hypotheses in Nonparametric Models of Production |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
5 |

Testing Hypotheses in Nonparametric Models of Production |
0 |
0 |
0 |
1 |
1 |
1 |
1 |
7 |

Testing Restrictions in Nonparametric Efficiency Models |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
454 |

Testing the "Separability" Condition in Two-Stage Nonparametric Models of Production |
0 |
0 |
1 |
89 |
2 |
2 |
12 |
281 |

Testing the "Separability" Condition in Two-Stage Nonparametric Models of Production |
0 |
0 |
0 |
3 |
0 |
0 |
0 |
7 |

Testing the "separability" condition in two-stage nonparametric models of production |
1 |
2 |
6 |
134 |
2 |
7 |
28 |
412 |

Testing whether two-stage estimation is meaningful in non-parametric models of production |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
22 |

The "wrong skewness" problem in stochastic frontier models: A new approach |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
41 |

The European university landscape: A micro characterization based on evidence from the Aquameth project |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
37 |

The European university landscape: A micro characterization based on evidence from the Aquameth project |
0 |
0 |
0 |
0 |
0 |
2 |
2 |
4 |

The European university landscape: A micro characterization based on evidence from the Aquameth project |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
11 |

The Three I's of Public Schools: Irrelevant Inputs, Insufficient Resources and Inefficiency |
0 |
0 |
0 |
28 |
0 |
0 |
0 |
67 |

The Three Is of Public Schools: Irrelevant Inputs, Insufficient Resources and Inefficiency |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
3 |

The wrong skewness problem in stochastic frontier models: A new approach |
0 |
0 |
1 |
47 |
0 |
0 |
2 |
94 |

The â€œwrong skewnessâ€Ω problem in stochastic frontier models: A new approach |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
5 |

The â€œwrong skewnessâ€Ω problem in stochastic frontier models: A new approach |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
1 |

The â€œwrong skewnessâ€Ω problem in stochastic frontier models: A new approach |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
6 |

The “wrong skewness” problem in stochastic frontier models: a new approach |
0 |
0 |
0 |
9 |
0 |
0 |
1 |
56 |

Theory and applications of least squares approximation in Bayesian analysis |
0 |
0 |
0 |
1 |
0 |
0 |
0 |
9 |

To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regression |
0 |
0 |
0 |
5 |
0 |
0 |
3 |
27 |

To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions |
0 |
0 |
1 |
182 |
0 |
0 |
3 |
1,182 |

To Smooth or Not to Smooth? The Case of Discrete Variables in Nonparametric Regressions |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
4 |

Two-Stage DEA: Caveat Emptor |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
15 |

Two-Stage DEA: Caveat Emptor |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
22 |

Unobserved heterogeneity and endogeneity in nonparametric frontier estimation |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
7 |

Unobserved heterogeneity and endogeneity in nonparametric frontier estimation |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
11 |

What is the impact of scale and specialization on the research efficiency of European universities? |
0 |
0 |
0 |
0 |
0 |
0 |
1 |
3 |

When Bias Kills the Variance: Central Limit Theorems for DEA and FDH Efficiency Scores |
0 |
0 |
0 |
0 |
0 |
0 |
0 |
10 |

When Bias Kills the Variance: Central Limit Theorems for DEA and FDH Efficiency Scores |
0 |
0 |
0 |
1 |
0 |
1 |
1 |
22 |

Total Working Papers |
12 |
51 |
215 |
6,760 |
41 |
142 |
645 |
32,004 |