# Questions tagged [treatment-effect]

A treatment effect is the causal effect of some "treatment" or policy intervention on an outcome variable. Such effects can be estimated with data from randomized or quasi experiments, and clinical trials or with observational data and methods for causal inference.

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### ATT vs ATE in propensity score matching when using DiD estimates

According to Lee and Little 2017, when using propensity score (PS) methods, weighting on odds will generate the Average Treatment Effect on the Treated (ATT), while using subclassification and ...
374 views

### Propensity Score Matching – How do the mechanics lead to a different result than unmatched?

The gist of propensity score matching, as I understand it, is as follows: You want to estimate the average treatment effect (ATE) of a treatment on some outcome. However, if you simply calculate the ...
44 views

### Assess temporary effect of treatment

Imagine that I have a treatment that reduces the likelihood of response to a stimulus. This could be anything you like, but the simplest example is of a treatment (e.g., hand washing, mask wearing, ...
366 views

### Why do my boostrapped CI's (using boot.ci in R) not include the point estimate?

I'm interested in estimating an average treatment effect $$\operatorname{ATE}\left(A', A''\right) = \mathbb{E}\left( Y\ |\ A'' \right) - \mathbb{E}\left( Y\ |\ A' \right)$$ with a generalized ...
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### Proving equation 3.3.12 in Angrist Pischke Mostly Harmless Econometrics (inverse probability weighting formula for ATT effect)

On page 82 in Mostly Harmless Econometrics, there is a formula for the average treatment effect on the treatment, using propensity score, that is \tag{1} E(Y_{1i} - Y_{0i}\vert D_i =1) = E\bigg[\...
431 views

### Panel data regression on the effect of a treatment without control group

I have a panel data set. The dependent variable is a certain numerical score for each individual and time period. I have a number of independent variables that vary by individual, by time, or by both. ...
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### How to deal with treatment effects that occurs multiple times at different time for each individual ID

I've been searching for a long time for this issue and couldn't find the proper answer so I post a question here. Here I put the data set example first. ...
97 views

### Family-wise error of dependent tests?

Say you have a drug of which you want to test wether it increases the number of immune cells in your blood. You divide your sample in two groups where one group receives the treatment and the other ...
356 views

### Heterogeneous Treatment Effects - How to test differences in the ATE?

I want to conduct a simple propensity score estimation where the treatment $D_i$ is a binary variable ($D_i=1$ individual $i$ participates in the labor market program, zero otherwise). I estimate the ...
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### Comparing two difference-in-difference models when making the treatment group larger

I have a question regarding some potentially existing empirical tests in the difference-in-difference context. Assume that I have the usual setting of observing some hypothetical outcome for a ...
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### Testing two potential interaction variables (or potential sources of effect heterogeneity) against each other

I have an experiment I have run, and I am testing for heterogeneous treatment effects (pre-registered and not fishing for any particular result!). Let's call the outcome $Y$ and the treatment variable ...
627 views

### Parallel trend assumption in difference-in-differences

I want to run a difference in difference model to evaluate the impact of a policy change using panel data with 30 individuals in the control group and 35 individuals in the treatment group. When ...
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### Computing and interpreting treatment effects for binary outcome using multiply imputed and matched data

I am using genetic matching, implemented through the MatchIt package (dependent on Matching and ...
330 views

### Before and after effect with logistic regression, what method to use?

So I have a test subject A which consist of a binary variable 0 and 1. I want to see if this binary variable is decided by some independent variables (plus interactions) which are continuous, which in ...
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### Estimating Equations for Treatment Model in Treatment Effects Estimation — How is this Equation Derived?

While reading the STATA 14 Treatment Effects Reference Manual (http://www.stata.com/manuals14/te.pdf), I'm having difficulty understanding how they arrive at the equation for the treatment model, that ...
585 views

### Which is the best approach? Difference in Difference with Heterogeneous Effects

I am interested in the performance of two competing approaches to estimate a treatment effect, for which one would expect heterogeneous effects. The point of origin is a treatment conducted from ...
188 views

### How to set sum contrasts for unbalanced factors

Let's say that I have a model where the response time depends on accuracy (0/1, coded either as categorical or numerical) and another categorical variable (pres: idem/diff), both interacting with the ...
68 views

### Repeated measures binomial effect confidence intervals

I have a repeated measures study design with two separate conditions in a memory task where one must recognize previously seen items in a list. The conditions are concrete vs. abstract. I'd like to ...
111 views

### Is there such thing as correlation trees? Clustering rows of X based on correlation between A and B

I have been searching for several days for a method that fits this description, though cannot find one. I'm pretty sure it must exist. The problem (short version): I'd like to run something like a ...
300 views

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### What distinct matching routines do exist?

In a seminar paper I'm discussing all possible matching routines. It turned out that there are quite many of them. Now I am looking for several answers: First, I discovered that some routines happen ...
1k views

### How to assess for balance of propensity score matching covariates in Stata?

I am comparing outcomes of a treated cohort (n=127) to a control cohort (n=732) using teffects propensity score matching in Stata. I did initial comparisons of baseline characteristics between the two ...
496 views

### Difference in difference model with multiple time periods and treatment/control pairs

I am trying to estimate a difference in difference model with 10 time periods (t=10) and many different plots of land, which are the unit of observation. Each plot of land which becomes treated at ...
147 views

### Interpreting DD estimates in terms of their economic magnitude

I'm currently doing the statistical part of my final thesis and I am having troubles with correctly interpreting my regressions results. The models I am using (with the plm package in R) are pretty ...
35 views

### Combing panel data with cross -section counter-factual?

I have a panel dataset of a treatment group with no control group panel. It has been proposed to me that I use cross-section from a a national survey, taken at baseline and same time as post-...
288 views

### Calculating the CACE using instrumental variables

In randomized trials with non-compliance among the treatment group, a common estimator is the Complier Average Causal Effect (also called the Local Average Treatment Effect), which (conditional on a ...
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### Matching / imputing between experimental and control group on a specific (i.e. latent) variable

I am currently researching the impact of survey participation on subsequent behavior, i.e., does merely participating in an intention survey about fitness products influence post survey spending. As ...
244 views

### Longitudinal measures mixed model in lmer in R

I would like to build a mixed model using the lme4 package in R. The study design is like this: We have measured the change in a variable over time in mice under different Diets. The mice under ...
270 views

### Test if treatment effect is different between samples

I want to determine if there is significant variation in the effect of a treatment amongst my replicates. The treatment effect is measured as a proportion. Let me describe: I study heart defects (in ...
43 views

### What is the optimal small-sample experimental design for multiple treatments and costly trials?

I have an experimental outcome in three outcome variables, y1, y2, y3. My objective function is: a * ln(y1 - y1*) + b * ln(y2 - y2*) + ln(y3 - y3*) for a, b, c, y1, y2, y3 >0. The starred ...