Working Paper |
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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 |
0 |
4 |
196 |
A simple, graphical approach to comparing multiple treatment |
0 |
0 |
0 |
6 |
0 |
0 |
1 |
19 |
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 |
465 |
Cluster-Robust Inference: A Guide to Empirical Practice |
3 |
11 |
60 |
425 |
10 |
21 |
114 |
819 |
Cluster-Robust Inference: A Guide to Empirical Practice |
0 |
0 |
1 |
13 |
0 |
0 |
6 |
29 |
Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models |
0 |
0 |
3 |
3 |
1 |
2 |
8 |
8 |
Cluster-robust jackknife and bootstrap inference for binary response models |
0 |
1 |
14 |
14 |
1 |
2 |
29 |
29 |
Cluster–robust inference: A guide to empirical practice |
0 |
1 |
7 |
20 |
0 |
1 |
22 |
74 |
Decision Making with Risky, Rival Outcomes: Theory and Evidence |
0 |
0 |
0 |
181 |
0 |
1 |
3 |
186 |
Difference in differences with unpoolable data |
0 |
0 |
3 |
16 |
1 |
2 |
14 |
31 |
Difference-in-Differences with Unpoolable Data |
0 |
0 |
16 |
16 |
1 |
6 |
21 |
21 |
Fast And Wild: Bootstrap Inference In Stata Using Boottest |
8 |
17 |
84 |
1,024 |
24 |
55 |
307 |
3,138 |
Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference |
0 |
7 |
21 |
132 |
1 |
12 |
36 |
246 |
Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference |
0 |
0 |
0 |
5 |
0 |
0 |
5 |
24 |
Fast and Wild: Bootstrap Inference in Stata Using boottest |
1 |
1 |
3 |
45 |
1 |
1 |
9 |
204 |
Finish It and It’s Free: An Evaluation of College Graduation Subsidies |
0 |
0 |
1 |
42 |
1 |
1 |
4 |
78 |
Good Controls Gone Bad: Difference-in-Differences with Covariates |
13 |
13 |
13 |
13 |
7 |
8 |
8 |
8 |
How Targeted Is Targeted Tax Relief? Evidence From The Unemployment Insurance Youth Hires Program |
0 |
0 |
1 |
85 |
2 |
3 |
5 |
366 |
Immigrant Category of Admission and the Earnings of Adults and Children: How far does the Apple Fall? |
0 |
0 |
0 |
45 |
0 |
1 |
3 |
128 |
Immigrant Category of Admission of the Parents and Outcomes of the Children: How far does the Apple Fall? |
1 |
1 |
2 |
84 |
1 |
3 |
5 |
188 |
Jackknife Inference with Two-Way Clustering |
0 |
0 |
7 |
7 |
3 |
4 |
22 |
22 |
Jackknife inference with two-way clustering |
0 |
4 |
17 |
17 |
2 |
7 |
35 |
35 |
Jackknife methods for improved cluster–robust inference |
0 |
1 |
2 |
11 |
0 |
1 |
2 |
16 |
Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust |
0 |
1 |
2 |
72 |
0 |
2 |
8 |
137 |
Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust |
0 |
0 |
0 |
20 |
0 |
0 |
2 |
46 |
One Sided Matching: Choice Selection With Rival Uncertain Outcomes |
0 |
0 |
0 |
0 |
1 |
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 |
0 |
2 |
11 |
283 |
Randomization Inference For Difference-in-differences With Few Treated Clusters |
5 |
16 |
73 |
852 |
49 |
196 |
958 |
5,839 |
Randomization Inference for Difference-in-Differences with Few Treated Clusters |
0 |
0 |
0 |
37 |
0 |
3 |
7 |
133 |
Reworking Wild Bootstrap Based Inference For Clustered Errors |
4 |
5 |
11 |
699 |
11 |
25 |
64 |
1,818 |
Targeting Tax Relief at Youth Employment |
0 |
0 |
2 |
57 |
0 |
0 |
3 |
121 |
Testing for the appropriate level of clustering in linear regression models |
0 |
0 |
3 |
19 |
0 |
0 |
5 |
34 |
Testing for the appropriate level of clustering in linear regression models |
0 |
2 |
6 |
382 |
2 |
5 |
26 |
818 |
The Many Misspellings of Albuquerque: A Comment on 'Sorting or Steering: The Effects of Housing Discrimination on Neighborhood Choice' |
1 |
6 |
63 |
63 |
2 |
13 |
230 |
230 |
The Subcluster Wild Bootstrap for Few (Treated) Clusters |
0 |
0 |
2 |
16 |
0 |
1 |
5 |
65 |
The Wild Bootstrap For Few (treated) Clusters |
0 |
1 |
3 |
154 |
0 |
3 |
8 |
297 |
The multiway cluster wild bootstrap |
0 |
1 |
1 |
63 |
0 |
1 |
1 |
115 |
Using Images as Covariates: Measuring Curb Appeal with Deep Learning |
0 |
0 |
6 |
6 |
0 |
3 |
13 |
13 |
When and How to Deal with Clustered Errors in Regression Models |
1 |
3 |
18 |
208 |
2 |
9 |
50 |
421 |
Wild Bootstrap Inference For Wildly Different Cluster Sizes |
3 |
3 |
7 |
400 |
3 |
5 |
11 |
963 |
Wild Bootstrap Randomization Inference For Few Treated Clusters |
0 |
1 |
5 |
197 |
0 |
4 |
13 |
351 |
Wild Bootstrap and Asymptotic Inference with Multiway Clustering |
0 |
0 |
0 |
20 |
1 |
1 |
4 |
54 |
Wild Bootstrap and Asymptotic Inference with Multiway Clustering |
0 |
1 |
3 |
162 |
0 |
4 |
8 |
347 |
Total Working Papers |
40 |
97 |
466 |
6,243 |
128 |
412 |
2,103 |
18,696 |