| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Simple, Graphical Approach to Comparing Multiple Treatments |
0 |
0 |
1 |
120 |
2 |
2 |
5 |
198 |
| A simple, graphical approach to comparing multiple treatment |
0 |
0 |
0 |
6 |
1 |
1 |
2 |
20 |
| An Experimental Test of the No Safety Schools Theorem |
0 |
0 |
0 |
51 |
0 |
1 |
2 |
137 |
| Bootstrap And Asymptotic Inference With Multiway Clustering |
0 |
0 |
0 |
237 |
1 |
2 |
8 |
466 |
| Cluster-Robust Inference: A Guide to Empirical Practice |
3 |
8 |
60 |
428 |
10 |
23 |
115 |
829 |
| Cluster-Robust Inference: A Guide to Empirical Practice |
0 |
0 |
1 |
13 |
1 |
1 |
4 |
30 |
| Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models |
0 |
0 |
3 |
3 |
0 |
1 |
8 |
8 |
| Cluster-robust jackknife and bootstrap inference for binary response models |
0 |
0 |
14 |
14 |
1 |
2 |
30 |
30 |
| Cluster–robust inference: A guide to empirical practice |
0 |
1 |
7 |
20 |
1 |
2 |
22 |
75 |
| Decision Making with Risky, Rival Outcomes: Theory and Evidence |
0 |
0 |
0 |
181 |
2 |
3 |
4 |
188 |
| Difference in differences with unpoolable data |
0 |
0 |
3 |
16 |
3 |
4 |
17 |
34 |
| Difference-in-Differences with Unpoolable Data |
0 |
0 |
16 |
16 |
2 |
7 |
23 |
23 |
| Fast And Wild: Bootstrap Inference In Stata Using Boottest |
6 |
19 |
82 |
1,030 |
21 |
59 |
293 |
3,159 |
| Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference |
0 |
0 |
0 |
5 |
0 |
0 |
4 |
24 |
| Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference |
0 |
6 |
19 |
132 |
3 |
13 |
36 |
249 |
| Fast and Wild: Bootstrap Inference in Stata Using boottest |
0 |
1 |
3 |
45 |
0 |
1 |
8 |
204 |
| Finish It and It’s Free: An Evaluation of College Graduation Subsidies |
0 |
0 |
0 |
42 |
2 |
3 |
4 |
80 |
| Good Controls Gone Bad: Difference-in-Differences with Covariates |
12 |
25 |
25 |
25 |
4 |
12 |
12 |
12 |
| How Targeted Is Targeted Tax Relief? Evidence From The Unemployment Insurance Youth Hires Program |
0 |
0 |
1 |
85 |
1 |
3 |
5 |
367 |
| Immigrant Category of Admission and the Earnings of Adults and Children: How far does the Apple Fall? |
0 |
0 |
0 |
45 |
1 |
1 |
3 |
129 |
| Immigrant Category of Admission of the Parents and Outcomes of the Children: How far does the Apple Fall? |
1 |
2 |
3 |
85 |
1 |
3 |
6 |
189 |
| Jackknife Inference with Two-Way Clustering |
0 |
0 |
7 |
7 |
0 |
3 |
22 |
22 |
| Jackknife inference with two-way clustering |
1 |
2 |
18 |
18 |
4 |
8 |
39 |
39 |
| Jackknife methods for improved cluster–robust inference |
0 |
0 |
2 |
11 |
0 |
0 |
2 |
16 |
| Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust |
0 |
0 |
0 |
20 |
0 |
0 |
2 |
46 |
| Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust |
0 |
0 |
2 |
72 |
3 |
4 |
11 |
140 |
| One Sided Matching: Choice Selection With Rival Uncertain Outcomes |
0 |
0 |
0 |
0 |
0 |
1 |
1 |
46 |
| One Sided Matching: Choice Selection With Rival Uncertain Outcomes |
0 |
0 |
1 |
71 |
0 |
0 |
2 |
98 |
| Pitfalls When Estimating Treatment Effects Using Clustered Data |
0 |
0 |
4 |
133 |
1 |
1 |
11 |
284 |
| Randomization Inference For Difference-in-differences With Few Treated Clusters |
2 |
15 |
71 |
854 |
40 |
169 |
908 |
5,879 |
| Randomization Inference for Difference-in-Differences with Few Treated Clusters |
0 |
0 |
0 |
37 |
1 |
2 |
7 |
134 |
| Reworking Wild Bootstrap Based Inference For Clustered Errors |
0 |
4 |
10 |
699 |
4 |
18 |
67 |
1,822 |
| Targeting Tax Relief at Youth Employment |
0 |
0 |
1 |
57 |
0 |
0 |
2 |
121 |
| Testing for the appropriate level of clustering in linear regression models |
0 |
2 |
6 |
382 |
2 |
6 |
27 |
820 |
| Testing for the appropriate level of clustering in linear regression models |
0 |
0 |
2 |
19 |
1 |
1 |
5 |
35 |
| The Many Misspellings of Albuquerque: A Comment on 'Sorting or Steering: The Effects of Housing Discrimination on Neighborhood Choice' |
2 |
4 |
65 |
65 |
7 |
13 |
237 |
237 |
| The Subcluster Wild Bootstrap for Few (Treated) Clusters |
0 |
0 |
2 |
16 |
0 |
1 |
5 |
65 |
| The Wild Bootstrap For Few (treated) Clusters |
0 |
0 |
3 |
154 |
4 |
6 |
12 |
301 |
| The multiway cluster wild bootstrap |
0 |
0 |
1 |
63 |
2 |
2 |
3 |
117 |
| Using Images as Covariates: Measuring Curb Appeal with Deep Learning |
0 |
0 |
6 |
6 |
1 |
3 |
14 |
14 |
| When and How to Deal with Clustered Errors in Regression Models |
0 |
1 |
16 |
208 |
1 |
6 |
46 |
422 |
| Wild Bootstrap Inference For Wildly Different Cluster Sizes |
0 |
3 |
6 |
400 |
3 |
8 |
13 |
966 |
| Wild Bootstrap Randomization Inference For Few Treated Clusters |
1 |
2 |
6 |
198 |
2 |
5 |
15 |
353 |
| Wild Bootstrap and Asymptotic Inference with Multiway Clustering |
1 |
2 |
4 |
163 |
2 |
3 |
10 |
349 |
| Wild Bootstrap and Asymptotic Inference with Multiway Clustering |
0 |
0 |
0 |
20 |
0 |
1 |
3 |
54 |
| Total Working Papers |
29 |
97 |
471 |
6,272 |
135 |
405 |
2,075 |
18,831 |
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