| Working Paper |
File Downloads |
Abstract Views |
| Last month |
3 months |
12 months |
Total |
Last month |
3 months |
12 months |
Total |
| A Comment on "Delivering Remote Learning Using a Low-Tech Solution: Evidence from a Randomized Controlled Trial in Bangladesh" |
24 |
34 |
36 |
36 |
83 |
101 |
106 |
106 |
| A Simple, Graphical Approach to Comparing Multiple Treatments |
0 |
0 |
0 |
120 |
1 |
2 |
7 |
203 |
| 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 |
0 |
3 |
139 |
| Bootstrap And Asymptotic Inference With Multiway Clustering |
0 |
1 |
2 |
239 |
6 |
8 |
18 |
481 |
| Cluster-Robust Inference: A Guide to Empirical Practice |
0 |
0 |
0 |
13 |
5 |
7 |
9 |
38 |
| Cluster-Robust Inference: A Guide to Empirical Practice |
2 |
4 |
28 |
442 |
9 |
13 |
74 |
872 |
| Cluster-Robust Jackknife and Bootstrap Inference for Binary Response Models |
1 |
1 |
2 |
5 |
2 |
4 |
9 |
15 |
| Cluster-robust jackknife and bootstrap inference for logistic regression models |
2 |
3 |
11 |
24 |
4 |
7 |
29 |
56 |
| Cluster–robust inference: A guide to empirical practice |
0 |
0 |
2 |
21 |
4 |
5 |
14 |
87 |
| Comparing Human-Only, AI-Assisted, and AI-Led Teams on Assessing Research Reproducibility in Quantitative Social Science |
6 |
15 |
180 |
180 |
37 |
98 |
783 |
783 |
| Decision Making with Risky, Rival Outcomes: Theory and Evidence |
0 |
0 |
0 |
181 |
1 |
2 |
6 |
191 |
| Difference in differences with unpoolable data |
0 |
1 |
3 |
19 |
2 |
6 |
16 |
45 |
| Difference-in-Differences with Unpoolable Data |
1 |
1 |
2 |
18 |
2 |
5 |
16 |
31 |
| Fast And Wild: Bootstrap Inference In Stata Using Boottest |
4 |
16 |
58 |
1,065 |
26 |
77 |
243 |
3,326 |
| Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference |
0 |
0 |
0 |
5 |
0 |
2 |
3 |
27 |
| Fast and Reliable Jackknife and Bootstrap Methods for Cluster-Robust Inference |
0 |
0 |
10 |
135 |
0 |
1 |
23 |
257 |
| Fast and Wild: Bootstrap Inference in Stata Using boottest |
0 |
1 |
2 |
46 |
5 |
8 |
13 |
216 |
| Finish It and It’s Free: An Evaluation of College Graduation Subsidies |
0 |
0 |
0 |
42 |
1 |
2 |
5 |
82 |
| Good Controls Gone Bad: Difference-in-Differences with Covariates |
0 |
0 |
26 |
26 |
3 |
4 |
18 |
18 |
| How Targeted Is Targeted Tax Relief? Evidence From The Unemployment Insurance Youth Hires Program |
0 |
0 |
0 |
85 |
2 |
3 |
8 |
371 |
| Immigrant Category of Admission and the Earnings of Adults and Children: How far does the Apple Fall? |
0 |
0 |
0 |
45 |
1 |
2 |
7 |
134 |
| Immigrant Category of Admission of the Parents and Outcomes of the Children: How far does the Apple Fall? |
0 |
0 |
2 |
85 |
0 |
0 |
7 |
192 |
| Jackknife Inference with Two-Way Clustering |
0 |
1 |
1 |
8 |
2 |
3 |
8 |
26 |
| Jackknife inference for multiway clustering and CS-DiD in Stata: twowayjack and csdidjack |
7 |
7 |
7 |
7 |
13 |
13 |
13 |
13 |
| Jackknife inference with two-way clustering |
2 |
6 |
22 |
35 |
3 |
10 |
43 |
71 |
| Jackknife methods for improved cluster–robust inference |
0 |
0 |
2 |
12 |
1 |
2 |
5 |
20 |
| Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust |
0 |
0 |
0 |
20 |
4 |
4 |
5 |
51 |
| Leverage, Influence, and the Jackknife in Clustered Regression Models: Reliable Inference Using summclust |
0 |
0 |
3 |
74 |
1 |
1 |
10 |
145 |
| Memory-safe massive Monte Carlo: A practical guide |
3 |
3 |
3 |
3 |
4 |
4 |
4 |
4 |
| One Sided Matching: Choice Selection With Rival Uncertain Outcomes |
0 |
0 |
0 |
71 |
0 |
0 |
0 |
98 |
| One Sided Matching: Choice Selection With Rival Uncertain Outcomes |
0 |
0 |
0 |
0 |
0 |
0 |
2 |
47 |
| Pitfalls When Estimating Treatment Effects Using Clustered Data |
0 |
1 |
3 |
136 |
1 |
5 |
12 |
293 |
| Randomization Inference For Difference-in-differences With Few Treated Clusters |
0 |
2 |
30 |
866 |
18 |
50 |
423 |
6,066 |
| Randomization Inference for Difference-in-Differences with Few Treated Clusters |
0 |
0 |
1 |
38 |
6 |
6 |
17 |
147 |
| Reworking Wild Bootstrap Based Inference For Clustered Errors |
1 |
5 |
16 |
710 |
5 |
18 |
80 |
1,873 |
| Targeting Tax Relief at Youth Employment |
0 |
0 |
0 |
57 |
0 |
0 |
5 |
126 |
| Testing for the appropriate level of clustering in linear regression models |
0 |
0 |
0 |
19 |
1 |
3 |
5 |
39 |
| Testing for the appropriate level of clustering in linear regression models |
0 |
0 |
5 |
385 |
0 |
4 |
17 |
830 |
| The Many Misspellings of Albuquerque: A Comment on 'Sorting or Steering: The Effects of Housing Discrimination on Neighborhood Choice' |
1 |
1 |
12 |
69 |
7 |
9 |
43 |
260 |
| The Subcluster Wild Bootstrap for Few (Treated) Clusters |
0 |
0 |
1 |
17 |
2 |
3 |
6 |
70 |
| The Wild Bootstrap For Few (treated) Clusters |
0 |
0 |
2 |
155 |
1 |
2 |
11 |
305 |
| The multiway cluster wild bootstrap |
1 |
1 |
3 |
65 |
1 |
1 |
6 |
120 |
| Using Images as Covariates: Measuring Curb Appeal with Deep Learning |
0 |
0 |
0 |
6 |
0 |
1 |
5 |
15 |
| When and How to Deal with Clustered Errors in Regression Models |
0 |
2 |
11 |
216 |
5 |
9 |
38 |
450 |
| Wild Bootstrap Inference For Wildly Different Cluster Sizes |
0 |
0 |
3 |
400 |
5 |
5 |
19 |
977 |
| Wild Bootstrap Randomization Inference For Few Treated Clusters |
0 |
1 |
4 |
200 |
1 |
4 |
13 |
360 |
| Wild Bootstrap and Asymptotic Inference with Multiway Clustering |
1 |
1 |
5 |
166 |
5 |
5 |
15 |
358 |
| Wild Bootstrap and Asymptotic Inference with Multiway Clustering |
0 |
0 |
1 |
21 |
1 |
2 |
5 |
58 |
| undid: A Stata package for difference in differences with unpoolable data |
3 |
3 |
3 |
3 |
4 |
4 |
4 |
4 |
| Total Working Papers |
59 |
111 |
502 |
6,648 |
285 |
525 |
2,233 |
20,517 |
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