| 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 |
0 |
2 |
6 |
201 |
| A simple, graphical approach to comparing multiple treatment |
0 |
0 |
0 |
6 |
0 |
0 |
2 |
21 |
| An Experimental Test of the No Safety Schools Theorem |
0 |
0 |
0 |
51 |
1 |
2 |
4 |
139 |
| Bootstrap And Asymptotic Inference With Multiway Clustering |
0 |
0 |
1 |
238 |
0 |
4 |
14 |
473 |
| Cluster-Robust Inference: A Guide to Empirical Practice |
0 |
0 |
1 |
13 |
0 |
0 |
4 |
31 |
| Cluster-Robust Inference: A Guide to Empirical Practice |
3 |
6 |
33 |
438 |
7 |
17 |
83 |
859 |
| Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models |
0 |
1 |
2 |
4 |
0 |
2 |
7 |
11 |
| Cluster-robust jackknife and bootstrap inference for logistic regression models |
1 |
5 |
13 |
21 |
6 |
12 |
30 |
49 |
| Cluster–robust inference: A guide to empirical practice |
0 |
1 |
2 |
21 |
1 |
4 |
14 |
82 |
| Decision Making with Risky, Rival Outcomes: Theory and Evidence |
0 |
0 |
0 |
181 |
0 |
0 |
4 |
189 |
| Difference in differences with unpoolable data |
0 |
2 |
2 |
18 |
1 |
4 |
13 |
39 |
| Difference-in-Differences with Unpoolable Data |
0 |
1 |
2 |
17 |
1 |
2 |
12 |
26 |
| Fast And Wild: Bootstrap Inference In Stata Using Boottest |
6 |
14 |
60 |
1,049 |
20 |
62 |
231 |
3,249 |
| Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference |
0 |
0 |
0 |
5 |
0 |
1 |
1 |
25 |
| Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference |
1 |
2 |
15 |
135 |
1 |
4 |
31 |
256 |
| Fast and Wild: Bootstrap Inference in Stata Using boottest |
0 |
0 |
2 |
45 |
3 |
4 |
8 |
208 |
| Finish It and It’s Free: An Evaluation of College Graduation Subsidies |
0 |
0 |
0 |
42 |
0 |
0 |
3 |
80 |
| Good Controls Gone Bad: Difference-in-Differences with Covariates |
0 |
1 |
26 |
26 |
0 |
1 |
14 |
14 |
| How Targeted Is Targeted Tax Relief? Evidence From The Unemployment Insurance Youth Hires Program |
0 |
0 |
1 |
85 |
0 |
0 |
6 |
368 |
| Immigrant Category of Admission and the Earnings of Adults and Children: How far does the Apple Fall? |
0 |
0 |
0 |
45 |
0 |
1 |
6 |
132 |
| Immigrant Category of Admission of the Parents and Outcomes of the Children: How far does the Apple Fall? |
0 |
0 |
3 |
85 |
0 |
1 |
8 |
192 |
| Jackknife Inference with Two-Way Clustering |
0 |
0 |
0 |
7 |
0 |
1 |
10 |
23 |
| Jackknife inference with two-way clustering |
2 |
4 |
27 |
29 |
3 |
9 |
50 |
61 |
| Jackknife methods for improved cluster–robust inference |
0 |
0 |
2 |
12 |
0 |
1 |
3 |
18 |
| Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust |
0 |
0 |
0 |
20 |
1 |
1 |
1 |
47 |
| Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust |
0 |
1 |
3 |
74 |
0 |
1 |
11 |
144 |
| One Sided Matching: Choice Selection With Rival Uncertain Outcomes |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
47 |
| One Sided Matching: Choice Selection With Rival Uncertain Outcomes |
0 |
0 |
1 |
71 |
0 |
0 |
1 |
98 |
| Pitfalls When Estimating Treatment Effects Using Clustered Data |
0 |
1 |
4 |
135 |
0 |
2 |
12 |
288 |
| Randomization Inference For Difference-in-differences With Few Treated Clusters |
2 |
6 |
40 |
864 |
18 |
64 |
552 |
6,016 |
| Randomization Inference for Difference-in-Differences with Few Treated Clusters |
0 |
0 |
1 |
38 |
2 |
5 |
14 |
141 |
| Reworking Wild Bootstrap Based Inference For Clustered Errors |
1 |
4 |
12 |
705 |
8 |
25 |
85 |
1,855 |
| Targeting Tax Relief at Youth Employment |
0 |
0 |
0 |
57 |
0 |
1 |
5 |
126 |
| Testing for the appropriate level of clustering in linear regression models |
0 |
0 |
0 |
19 |
0 |
1 |
2 |
36 |
| Testing for the appropriate level of clustering in linear regression models |
0 |
1 |
5 |
385 |
2 |
3 |
18 |
826 |
| The Many Misspellings of Albuquerque: A Comment on 'Sorting or Steering: The Effects of Housing Discrimination on Neighborhood Choice' |
1 |
2 |
22 |
68 |
1 |
8 |
55 |
251 |
| The Subcluster Wild Bootstrap for Few (Treated) Clusters |
0 |
1 |
1 |
17 |
0 |
2 |
4 |
67 |
| The Wild Bootstrap For Few (treated) Clusters |
0 |
0 |
2 |
155 |
0 |
1 |
11 |
303 |
| The multiway cluster wild bootstrap |
0 |
1 |
2 |
64 |
0 |
1 |
5 |
119 |
| Using Images as Covariates: Measuring Curb Appeal with Deep Learning |
0 |
0 |
0 |
6 |
0 |
0 |
4 |
14 |
| When and How to Deal with Clustered Errors in Regression Models |
1 |
4 |
14 |
214 |
5 |
15 |
44 |
441 |
| Wild Bootstrap Inference For Wildly Different Cluster Sizes |
0 |
0 |
3 |
400 |
0 |
2 |
15 |
972 |
| Wild Bootstrap Randomization Inference For Few Treated Clusters |
0 |
0 |
5 |
199 |
2 |
2 |
15 |
356 |
| Wild Bootstrap and Asymptotic Inference with Multiway Clustering |
0 |
0 |
1 |
21 |
1 |
1 |
3 |
56 |
| Wild Bootstrap and Asymptotic Inference with Multiway Clustering |
1 |
2 |
4 |
165 |
2 |
3 |
11 |
353 |
| Total Working Papers |
19 |
60 |
313 |
6,370 |
86 |
272 |
1,434 |
19,302 |
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