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 |
0 |
120 |
1 |
2 |
6 |
202 |
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 |
0 |
1 |
4 |
139 |
Bootstrap And Asymptotic Inference With Multiway Clustering |
1 |
1 |
2 |
239 |
1 |
2 |
14 |
474 |
Cluster-Robust Inference: A Guide to Empirical Practice |
0 |
0 |
0 |
13 |
1 |
1 |
4 |
32 |
Cluster-Robust Inference: A Guide to Empirical Practice |
1 |
6 |
31 |
439 |
2 |
15 |
77 |
861 |
Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models |
0 |
1 |
2 |
4 |
2 |
4 |
9 |
13 |
Cluster-robust jackknife and bootstrap inference for logistic regression models |
1 |
3 |
13 |
22 |
1 |
8 |
28 |
50 |
Cluster–robust inference: A guide to empirical practice |
0 |
0 |
2 |
21 |
1 |
2 |
14 |
83 |
Decision Making with Risky, Rival Outcomes: Theory and Evidence |
0 |
0 |
0 |
181 |
0 |
0 |
4 |
189 |
Difference in differences with unpoolable data |
0 |
1 |
2 |
18 |
1 |
4 |
12 |
40 |
Difference-in-Differences with Unpoolable Data |
0 |
1 |
1 |
17 |
0 |
2 |
11 |
26 |
Fast And Wild: Bootstrap Inference In Stata Using Boottest |
5 |
14 |
60 |
1,054 |
26 |
60 |
231 |
3,275 |
Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference |
0 |
0 |
0 |
5 |
1 |
1 |
2 |
26 |
Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference |
0 |
1 |
13 |
135 |
0 |
2 |
29 |
256 |
Fast and Wild: Bootstrap Inference in Stata Using boottest |
0 |
0 |
2 |
45 |
2 |
5 |
9 |
210 |
Finish It and It’s Free: An Evaluation of College Graduation Subsidies |
0 |
0 |
0 |
42 |
1 |
1 |
4 |
81 |
Good Controls Gone Bad: Difference-in-Differences with Covariates |
0 |
1 |
26 |
26 |
1 |
2 |
15 |
15 |
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 |
1 |
1 |
6 |
133 |
Immigrant Category of Admission of the Parents and Outcomes of the Children: How far does the Apple Fall? |
0 |
0 |
3 |
85 |
0 |
0 |
8 |
192 |
Jackknife Inference with Two-Way Clustering |
0 |
0 |
0 |
7 |
0 |
1 |
5 |
23 |
Jackknife inference with two-way clustering |
2 |
6 |
26 |
31 |
3 |
9 |
48 |
64 |
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 |
0 |
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 |
0 |
4 |
135 |
2 |
2 |
13 |
290 |
Randomization Inference For Difference-in-differences With Few Treated Clusters |
0 |
3 |
37 |
864 |
11 |
46 |
513 |
6,027 |
Randomization Inference for Difference-in-Differences with Few Treated Clusters |
0 |
0 |
1 |
38 |
0 |
3 |
14 |
141 |
Reworking Wild Bootstrap Based Inference For Clustered Errors |
2 |
4 |
13 |
707 |
9 |
23 |
83 |
1,864 |
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 |
2 |
3 |
4 |
38 |
Testing for the appropriate level of clustering in linear regression models |
0 |
1 |
5 |
385 |
3 |
6 |
20 |
829 |
The Many Misspellings of Albuquerque: A Comment on 'Sorting or Steering: The Effects of Housing Discrimination on Neighborhood Choice' |
0 |
2 |
18 |
68 |
0 |
3 |
48 |
251 |
The Subcluster Wild Bootstrap for Few (Treated) Clusters |
0 |
0 |
1 |
17 |
0 |
1 |
3 |
67 |
The Wild Bootstrap For Few (treated) Clusters |
0 |
0 |
2 |
155 |
1 |
1 |
11 |
304 |
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 |
1 |
1 |
5 |
15 |
When and How to Deal with Clustered Errors in Regression Models |
0 |
2 |
13 |
214 |
1 |
11 |
37 |
442 |
Wild Bootstrap Inference For Wildly Different Cluster Sizes |
0 |
0 |
3 |
400 |
0 |
1 |
15 |
972 |
Wild Bootstrap Randomization Inference For Few Treated Clusters |
1 |
1 |
5 |
200 |
2 |
4 |
14 |
358 |
Wild Bootstrap and Asymptotic Inference with Multiway Clustering |
0 |
0 |
1 |
21 |
1 |
2 |
4 |
57 |
Wild Bootstrap and Asymptotic Inference with Multiway Clustering |
0 |
1 |
4 |
165 |
0 |
2 |
10 |
353 |
Total Working Papers |
13 |
51 |
299 |
6,383 |
78 |
237 |
1,370 |
19,380 |