3 citations · 7 across the 9 of their papers we have counts for
9 papers
Does p-Hacking Mitigate or Exacerbate the Effects of Publication Bias?
Yong Cai, Agathe Pernoud, Boli Xu
This paper studies the effects of p-hacking on the bias of published estimates when papers with statistically significant results are selectively published. We show that fast p-hac…
Identifying Socially Disruptive Policies
Eric Auerbach, Yong Cai
Social disruption occurs when a policy creates or destroys many network connections between agents. It is a costly side effect of many interventions and so a growing empirical lite…
Linear Regression with Centrality Measures
Yong Cai
This paper studies the properties of linear regression on centrality measures when network data is sparse and observed with error. We make three contributions in this setting. Firs…
On the Performance of the Neyman Allocation with Small Pilots
Yong Cai, Ahnaf Rafi
The Neyman Allocation is used in many papers on experimental design, which typically assume that researchers have access to large pilot studies. This may be unrealistic. To underst…
Heterogeneous Treatment Effects for Networks, Panels, and other Outcome Matrices
Eric Auerbach, Yong Cai
We are interested in the distribution of treatment effects for an experiment where units are randomized to a treatment but outcomes are measured for pairs of units. For example, we…
Panel Data with Unknown Clusters
Yong Cai
Clustered standard errors and approximate randomization tests are popular inference methods that allow for dependence within observations. However, they require researchers to know…
A Modified Randomization Test for the Level of Clustering
Yong Cai
Suppose a researcher observes individuals within a county within a state. Given concerns about correlation across individuals, it is common to group observations into clusters and…
Some Finite Sample Properties of the Sign Test
Yong Cai
This paper contains two finite-sample results concerning the sign test. First, we show that the sign-test is unbiased with independent, non-identically distributed data for both on…
On the implementation of Approximate Randomization Tests in Linear Models with a Small Number of Clusters
Yong Cai, Ivan A. Canay, Deborah Kim +1
This paper provides a user's guide to the general theory of approximate randomization tests developed in Canay, Romano, and Shaikh (2017) when specialized to linear regressions wit…