Skip to main content

All Questions

Filter by
Sorted by
Tagged with
1 vote
0 answers
92 views

Inference for the average treatment effect for Bernoulli trial

In the book of Imbens and Rubin, they discuss four common classes of assignment mechanisms that fit into this framework: Bernoulli trials, completely randomized experiments, stratified randomized ...
TrungDung's user avatar
  • 862
1 vote
2 answers
142 views

Discover causal effects using OLS: does the treated and not treated group need to be similar on all observed variables?

I have one dummy variable, $D$, which equals 1 if the subject received treatment and $0$ otherwise. My outcome of interest is $Y$. For example, $D$ tells me whether the subject took the drug or a ...
robertspierre's user avatar
1 vote
1 answer
595 views

What are advantages and disadvantages of bernoulli assignment/randomization?

This is good explanation for what is Bernoulli assignment is. For treatment assignment, what is the difference between Bernoulli assignment vs. completely randomized assignment? I am wondering, what ...
jdeng's user avatar
  • 111
1 vote
0 answers
28 views

Aggregate effects of randomized experiment

Consider the following two-equation model for observational data from a randomized experiment: (1) $y_{ij} = \alpha + \beta D_{ij} + \gamma X_{j} + \varepsilon_{ij}$ (2) $D_{ij} = \gamma + \delta ...
KMM's user avatar
  • 43
3 votes
1 answer
133 views

Not including main effect term in subgroup analysis?

I know there are plenty of previous Cross Validated posts regarding if one must include the main effect term if the interaction term is included. The general consensus is: no if you have a very good ...
Tom Chen's user avatar
  • 641
1 vote
1 answer
2k views

Non-random assignment to treatment group due to anticipation of treatment in difference-in-differences design

I have a very basic question regarding a DiD-Design. If the subjects in this design select themselves into treatment/non-treatment group because they anticipate the treatment (e.g., they want to avoid/...
diudas's user avatar
  • 223
4 votes
4 answers
444 views

how to include distance buffers in cluster randomized trial

I need to incorporate distance buffers into the selection of treatment and control units in a randomized-controlled trial in order to minimize spillovers between arms. Cluster in this study is a ...
cece's user avatar
  • 41
11 votes
2 answers
5k views

Using control variables in experiments?

Why would one want to control for any number of baseline covariates in a situation where the assignment to treatment group is random? My understanding is that randomly assigning treatment should make ...
Robb's user avatar
  • 305