Ivan A. Canay

Selected Publications

The Wild Bootstrap with a Small Number of Large Clusters

This paper studies the properties of the wild bootstrap-based test proposed in Cameron et al. (2008) […]

Ivan A. Canay, Andres Santos, Azeem M. Shaikh
16 August 2019 | CWP40/19

Previous version

The wild bootstrap with a “small” number of “large” clusters
Ivan A. Canay, Andres Santos, Azeem M. Shaikh
11 April 2018 | CWP27/18
Inference under covariate-adaptive randomization with multiple treatments

This paper studies inference in randomized controlled trials with covariate-adaptive randomization when there are multiple treatments. […]

Federico A. Bugni, Ivan A. Canay, Azeem M. Shaikh
22 January 2019 | CWP04/19

Previous version

Inference under covariate-adaptive randomization with multiple treatments
Federico A. Bugni, Ivan A. Canay, Azeem M. Shaikh
2 August 2017 | CWP34/17
The wild bootstrap with a “small” number of “large” clusters

This paper studies the properties of the wild bootstrap-based test proposed in Cameron et al. (2008) […]

Ivan A. Canay, Andres Santos, Azeem M. Shaikh
11 April 2018 | CWP27/18

Latest version

The Wild Bootstrap with a Small Number of Large Clusters
Ivan A. Canay, Andres Santos, Azeem M. Shaikh
16 August 2019 | CWP40/19
Testing continuity of a density via g -order statistics in the regression discontinuity design

In the regression discontinuity design (RDD), it is common practice to assess the credibility of the […]

Federico A. Bugni, Ivan A. Canay
21 March 2018 | CWP20/18
Inference under covariate-adaptive randomization with multiple treatments

This paper studies inference in randomized controlled trials with covariate-adaptive randomization when there are multiple treatments. […]

Federico A. Bugni, Ivan A. Canay, Azeem M. Shaikh
2 August 2017 | CWP34/17

Latest version

Inference under covariate-adaptive randomization with multiple treatments
Federico A. Bugni, Ivan A. Canay, Azeem M. Shaikh
22 January 2019 | CWP04/19
Inference under covariate-adaptive randomization

This paper studies inference for the average treatment effect in randomized controlled trials with covariate-adaptive randomization. […]

Federico A. Bugni, Ivan A. Canay, Azeem M. Shaikh
24 May 2017 | CWP25/17

Previous version

Inference under covariate-adaptive randomization
Federico A. Bugni, Ivan A. Canay, Azeem M. Shaikh
7 August 2015 | CWP45/15
Approximate permutation tests and induced order statistics in the regression discontinuity design

In the regression discontinuity design (RDD), it is common practice to asses the credibility of the […]

Ivan A. Canay, Vishal Kamat
16 May 2017 | CWP21/17

Previous version

Approximate permutation tests and induced order statistics in the regression discontinuity design

In the regression discontinuity design, it is common practice to asses the credibility of the design […]

Ivan A. Canay, Vishal Kamat
19 August 2016 | CWP33/16

Latest version

Previous version

Inference under Covariate-Adaptive Randomization

This paper studies inference for the average treatment eff ect in randomized controlled trials with covariate-adaptive […]

Federico A. Bugni, Ivan A. Canay, Azeem M. Shaikh
10 May 2016 | CWP21/16

Previous version

Inference under covariate-adaptive randomization
Federico A. Bugni, Ivan A. Canay, Azeem M. Shaikh
7 August 2015 | CWP45/15
Practical and theoretical advances in inference for partially identified models

This paper surveys some of the recent literature on inference in partially identified models. After reviewing […]

Ivan A. Canay, Azeem M. Shaikh
29 January 2016 | CWP05/16