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File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Comment on a Paper of Cribari-Neto and Zarkos |
0 |
0 |
0 |
0 |
1 |
1 |
5 |
385 |
| A better way to bootstrap pairs |
0 |
0 |
0 |
44 |
1 |
1 |
5 |
147 |
| A better way to bootstrap pairs |
0 |
0 |
0 |
17 |
2 |
3 |
11 |
407 |
| ASYMPTOTIC AND BOOTSTRAP INFERENCE FOR INEQUALITY AND POVERTY MEASURES |
0 |
0 |
0 |
77 |
4 |
5 |
15 |
218 |
| Asymptotic and bootstrap inference for inequality and poverty measures |
0 |
0 |
0 |
232 |
1 |
2 |
12 |
606 |
| Asymptotic and bootstrap inference for inequality and poverty measures |
0 |
0 |
0 |
30 |
1 |
3 |
6 |
71 |
| Asymptotic and bootstrap inference for inequality and poverty measures |
0 |
0 |
0 |
32 |
7 |
9 |
16 |
134 |
| Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap |
0 |
0 |
0 |
183 |
1 |
1 |
9 |
648 |
| Bootstrapping heteroskedastic regression models: wild bootstrap vs. pairs bootstrap |
0 |
1 |
1 |
34 |
2 |
9 |
19 |
153 |
| Bootstrapping heteroskedasticity consistent covariance matrix estimator |
0 |
0 |
0 |
46 |
3 |
3 |
6 |
155 |
| Bootstrapping heteroskedasticity consistent covariance matrix estimator |
0 |
0 |
0 |
14 |
2 |
2 |
5 |
53 |
| Comportements strategiques et methode d'evaluation contingente: une modele heterogene multiplicatif |
0 |
0 |
0 |
0 |
1 |
1 |
4 |
1,314 |
| Confidence Sets for Inequality Measures: Fieller-Type Methods |
0 |
0 |
0 |
0 |
3 |
4 |
4 |
15 |
| Controlling starting-point bias in double-bounded contingent valuation surveys |
0 |
0 |
0 |
202 |
2 |
3 |
7 |
704 |
| Controlling starting-point bias in double-bounded contingent valuation surveys |
0 |
0 |
0 |
0 |
0 |
2 |
6 |
17 |
| Controlling starting-point bias in double-bounded contingent valuation surveys |
0 |
0 |
0 |
20 |
0 |
0 |
3 |
83 |
| Controlling starting-point bias in double-bounded contingent valuation surveys |
0 |
0 |
0 |
9 |
4 |
7 |
11 |
36 |
| Controlling starting-point bias in double-bounded contingent valuation surveys |
0 |
0 |
0 |
14 |
0 |
0 |
2 |
76 |
| Decomposing Inequalities using Machine Learning and Overcoming Common Support Issues |
0 |
2 |
14 |
14 |
5 |
8 |
19 |
19 |
| Directional Tests and Confidence Bounds on Economic Inequality |
0 |
0 |
0 |
0 |
1 |
1 |
2 |
2 |
| Econom\'etrie et Machine Learning |
0 |
1 |
1 |
5 |
3 |
8 |
11 |
31 |
| Econometrics and Income Inequality |
0 |
0 |
0 |
0 |
2 |
7 |
11 |
45 |
| Econometrics and Income Inequality |
0 |
0 |
0 |
0 |
2 |
2 |
5 |
31 |
| Econometrics and Machine Learning |
0 |
0 |
0 |
1 |
4 |
6 |
17 |
99 |
| Estimation in high-dimensional linear regression: Post-Double-Autometrics as an alternative to Post-Double-Lasso |
0 |
0 |
8 |
8 |
0 |
8 |
21 |
21 |
| Estimation of income distribution and detection of subpopulations: an explanatory model |
0 |
0 |
1 |
67 |
1 |
2 |
5 |
153 |
| Estimation of income distribution and detection of subpopulations: an explanatory model |
0 |
0 |
0 |
22 |
0 |
1 |
4 |
57 |
| Estimation of income distribution and detection of subpopulations: an explanatory model |
0 |
0 |
0 |
317 |
1 |
4 |
12 |
496 |
| From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration |
0 |
0 |
0 |
2 |
1 |
1 |
8 |
15 |
| From Uncertainty to Precision: Enhancing Binary Classifier Performance through Calibration |
0 |
0 |
0 |
2 |
1 |
1 |
2 |
8 |
| GAM(L)A: An econometric model for interpretable Machine Learning |
0 |
0 |
0 |
39 |
2 |
2 |
9 |
36 |
| Goodness of Fit: An Axiomatic Approach |
0 |
0 |
0 |
0 |
1 |
1 |
1 |
21 |
| Goodness of Fit: an axiomatic approach |
0 |
0 |
0 |
51 |
6 |
7 |
14 |
102 |
| Goodness-of-Fit: An Economic Approach |
0 |
0 |
0 |
110 |
2 |
3 |
8 |
411 |
| Goodness-of-Fit: An Economic Approach |
0 |
0 |
2 |
14 |
4 |
4 |
13 |
90 |
| Goodness-of-fit: an economic approach |
0 |
0 |
0 |
4 |
2 |
2 |
13 |
47 |
| Heterogeneous anchoring in dichotomous choice valuation framework |
0 |
0 |
0 |
14 |
0 |
1 |
6 |
94 |
| Heterogeneous anchoring in dichotomous choice valuation framework |
0 |
0 |
0 |
11 |
0 |
1 |
2 |
38 |
| Heterogeneous anchoring in dichotomous choice valuation framework |
0 |
0 |
0 |
9 |
1 |
1 |
6 |
64 |
| Identification-Robust Inequality Analysis |
0 |
0 |
0 |
3 |
1 |
2 |
14 |
53 |
| Identification-robust Inequality Analysis |
0 |
0 |
0 |
35 |
1 |
2 |
11 |
54 |
| Identification-robust methods for comparing inequality with an application to regional disparities |
0 |
0 |
0 |
0 |
1 |
2 |
5 |
5 |
| Income distribution and inequality measurement: The problem of extreme values |
0 |
0 |
0 |
66 |
3 |
5 |
17 |
117 |
| Income distribution and inequality measurement: The problem of extreme values |
0 |
0 |
2 |
74 |
5 |
6 |
19 |
220 |
| Income distribution and inequality measurement: the problem of extreme values |
0 |
0 |
0 |
363 |
1 |
19 |
35 |
1,028 |
| Individual sensitivity to framing effects |
0 |
0 |
0 |
11 |
2 |
5 |
9 |
57 |
| Individual sensitivity to framing effects |
0 |
0 |
0 |
31 |
2 |
2 |
7 |
113 |
| Inequality Measurement and The Rich: Why Inequality Increased More Than We Thought |
0 |
1 |
1 |
41 |
0 |
1 |
11 |
42 |
| Inequality Measurement and the Rich: Why inequality increased more than we thought |
0 |
0 |
1 |
110 |
3 |
4 |
22 |
310 |
| Inequality Measurement: Methods and Data |
0 |
0 |
1 |
3 |
2 |
10 |
25 |
80 |
| Inequality measurement and the rich: why inequality increased more than we thought |
0 |
1 |
1 |
3 |
2 |
6 |
13 |
17 |
| Inequality with Ordinal Data |
0 |
0 |
0 |
0 |
0 |
0 |
4 |
42 |
| Inequality, Entropy and Goodness of Fit |
0 |
0 |
0 |
103 |
0 |
0 |
7 |
177 |
| Interpretable Machine Learning Using Partial Linear Models* |
0 |
1 |
1 |
1 |
3 |
6 |
11 |
12 |
| Les methodes du bootstrap dans les modeles de regression |
0 |
0 |
0 |
0 |
2 |
2 |
13 |
613 |
| Les méthodes du bootstrap dans les modèles de régression |
0 |
0 |
1 |
157 |
1 |
2 |
7 |
360 |
| Log-Transform Kernel Density Estimation of Income Distribution |
0 |
0 |
0 |
78 |
3 |
7 |
20 |
238 |
| Log-Transform Kernel Density Estimation of Income Distribution |
0 |
0 |
0 |
19 |
3 |
4 |
11 |
54 |
| Log-Transform Kernel Density Estimation of Income Distribution |
0 |
0 |
0 |
0 |
1 |
3 |
4 |
33 |
| Maximum Inequality: The Case of Categorical Data |
0 |
0 |
0 |
1 |
0 |
0 |
2 |
22 |
| Measuring Mobility |
0 |
0 |
0 |
97 |
4 |
5 |
8 |
233 |
| Measuring mobility |
0 |
0 |
0 |
25 |
1 |
1 |
7 |
38 |
| Measuring mobility |
0 |
0 |
0 |
0 |
1 |
2 |
6 |
24 |
| Measuring mobility |
0 |
0 |
0 |
97 |
2 |
3 |
12 |
148 |
| Mobility and Mobility Measures |
1 |
2 |
2 |
26 |
1 |
4 |
9 |
23 |
| Model selection in iterative valuation questions |
0 |
0 |
0 |
25 |
0 |
0 |
4 |
49 |
| Model selection in iterative valuation questions |
0 |
0 |
0 |
16 |
0 |
0 |
10 |
94 |
| More efficient tests robust to heteroskedasticity of unknown form |
0 |
0 |
0 |
20 |
5 |
5 |
9 |
94 |
| More efficient tests robust to heteroskedasticity of unknown form |
0 |
0 |
0 |
13 |
4 |
5 |
11 |
50 |
| Oaxaca-Blinder decomposition of changes in means and inequality: A simultaneous approach |
0 |
0 |
0 |
1 |
2 |
2 |
4 |
4 |
| On the origin of the WTA-WTP divergence in public good valuation |
0 |
0 |
0 |
0 |
2 |
3 |
7 |
32 |
| On the origin of the WTA-WTP divergence in public good valuation |
0 |
0 |
0 |
0 |
0 |
1 |
4 |
6 |
| On the origin of the wta-wtp divergence in public good valuation |
0 |
0 |
0 |
3 |
1 |
2 |
13 |
28 |
| On the origin of the wta-wtp divergence in public good valuation |
0 |
0 |
0 |
51 |
1 |
3 |
8 |
83 |
| Optimal Transport for Counterfactual Estimation: A Method for Causal Inference |
0 |
0 |
0 |
0 |
1 |
2 |
6 |
7 |
| Optimal Transport for Counterfactual Estimation: A Method for Causal Inference |
0 |
0 |
1 |
9 |
5 |
8 |
20 |
43 |
| Pareto Models for Risk Management |
0 |
0 |
0 |
0 |
1 |
4 |
13 |
32 |
| Pareto Models for Top Incomes |
0 |
0 |
0 |
10 |
2 |
2 |
13 |
41 |
| Pareto Models for Top Incomes |
0 |
0 |
0 |
48 |
1 |
2 |
6 |
84 |
| Pareto models for risk management |
0 |
1 |
2 |
18 |
9 |
15 |
27 |
51 |
| Pareto models for risk management |
0 |
0 |
0 |
19 |
6 |
6 |
17 |
42 |
| Pareto models for top incomes and wealth |
0 |
1 |
2 |
26 |
0 |
5 |
12 |
29 |
| Permutation Tests for Comparing Inequality Measures |
0 |
0 |
0 |
5 |
3 |
5 |
11 |
32 |
| Political versus Economic Institutions in the Growth Process |
0 |
0 |
0 |
82 |
1 |
1 |
9 |
290 |
| Political versus Economic Institutions in the Growth Process |
0 |
0 |
0 |
111 |
2 |
3 |
9 |
225 |
| Political versus economic institutions in the growth process |
0 |
0 |
0 |
2 |
1 |
2 |
7 |
61 |
| Post-Calibration Techniques: Balancing Calibration and Score Distribution Alignment |
0 |
2 |
3 |
4 |
3 |
5 |
14 |
28 |
| Prix des logements et autocorrélation spatiale: une approche semi-paramétrique |
0 |
0 |
0 |
33 |
3 |
3 |
5 |
134 |
| Prix des logements et autocorrélation spatiale: une approche semi-paramétrique |
0 |
0 |
0 |
3 |
1 |
2 |
2 |
17 |
| Propriétés en échantillon fini des tests robustes à l'hétéroscédasticité de forme inconnue |
0 |
0 |
0 |
25 |
7 |
7 |
12 |
142 |
| Propriétés en échantillon fini des tests robustes à l'hétéroscédasticité de forme inconnue |
0 |
0 |
0 |
13 |
1 |
1 |
4 |
85 |
| Reference distributions and inequality measurement |
0 |
0 |
0 |
0 |
5 |
5 |
11 |
39 |
| Sensitivity of Inequality Measures to Extreme Values |
0 |
0 |
0 |
152 |
1 |
2 |
10 |
390 |
| Sensitivity of inequality measures to extreme values |
0 |
0 |
0 |
2 |
4 |
4 |
6 |
29 |
| Starting-point bias and respondent uncertainty in dichotomous choice contingent valuation surveys |
0 |
0 |
0 |
23 |
0 |
0 |
2 |
117 |
| Starting-point bias and respondent uncertainty in dichotomous choice contingent valuation surveys |
0 |
0 |
0 |
24 |
1 |
2 |
10 |
85 |
| Statistical Methods for Distributional Analysis |
0 |
0 |
0 |
44 |
2 |
4 |
16 |
87 |
| Statistical Methods for Distributional Analysis |
0 |
0 |
0 |
0 |
2 |
9 |
17 |
92 |
| Statistical Methods for Distributional Analysis |
0 |
0 |
5 |
223 |
0 |
4 |
23 |
442 |
| Testing for misspecification in the short-run component of GARCH-type models |
0 |
0 |
0 |
0 |
4 |
7 |
11 |
13 |
| Testing for misspecification in the short-run component of GARCH-type models |
0 |
0 |
0 |
0 |
1 |
3 |
9 |
37 |
| The Role of Economic Space in Decision Making: A Comment |
0 |
0 |
0 |
11 |
1 |
2 |
4 |
42 |
| The Role of Economic Space in Decision Making: A Comment |
0 |
0 |
0 |
7 |
4 |
4 |
8 |
28 |
| The Wild Bootstrap, Tamed At Last |
0 |
0 |
0 |
253 |
3 |
3 |
13 |
748 |
| The Wild Bootstrap, Tamed at Last |
0 |
0 |
0 |
1 |
2 |
3 |
12 |
539 |
| The Wild Bootstrap, Tamed at Last |
0 |
0 |
0 |
0 |
5 |
10 |
30 |
30 |
| The Wild Bootstrap, Tamed at Last |
0 |
0 |
0 |
693 |
5 |
10 |
20 |
1,734 |
| The Wild Bootstrap, Tamed at Last |
0 |
0 |
0 |
240 |
4 |
5 |
15 |
565 |
| The wild bootstrap, tamed at last |
0 |
0 |
0 |
8 |
4 |
4 |
17 |
78 |
| The wild bootstrap, tamed at last |
0 |
0 |
1 |
12 |
4 |
6 |
16 |
180 |
| Treatment-effect estimation in high dimension: An inference-based approach |
1 |
4 |
7 |
18 |
4 |
8 |
20 |
47 |
| Underreporting of Top Incomes and Inequality: A Comparison of Correction Methods using Simulations and Linked Survey and Tax Data |
0 |
0 |
0 |
14 |
0 |
0 |
12 |
37 |
| Une approche comportementale de l'évaluation contingente |
0 |
0 |
0 |
19 |
1 |
2 |
4 |
154 |
| Une approche comportementale de l'évaluation contingente |
0 |
0 |
0 |
5 |
1 |
1 |
3 |
43 |
| Une approche comportementale de l'évaluation contingente |
0 |
0 |
0 |
18 |
2 |
2 |
4 |
137 |
| Une approche comportementale de l'évaluation contingente |
0 |
0 |
0 |
10 |
2 |
3 |
7 |
65 |
| Une approche comportementale de l'évaluation contingente |
0 |
0 |
0 |
49 |
0 |
1 |
6 |
299 |
| Économétrie & Machine Learning |
0 |
0 |
2 |
73 |
2 |
2 |
9 |
214 |
| Économétrie Non-Paramétrique |
0 |
0 |
0 |
0 |
4 |
4 |
5 |
36 |
| Économétrie Non-Paramétrique |
0 |
0 |
0 |
0 |
2 |
3 |
7 |
37 |
| Économétrie Non-Paramétrique |
0 |
0 |
0 |
0 |
1 |
2 |
3 |
18 |
| Total Working Papers |
2 |
17 |
60 |
5,424 |
252 |
439 |
1,231 |
19,360 |