<p>Pre treatment mean is simply the mean estimate of a variable before treatment was implemented.</p>
<p>There isn't a single way to estimate mean so there isn't a single way to estimate pre-treatment mean. A simplest estimator for a mean is: <span class="math-container">$\bar{x}= \sum_i^n \frac{x_i}{n}$</span>.</p>
<p>Depending on context some other estimator for mean can be used.</p>

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2024-03-28T12:14:47.623Z
2024-03-28T12:14:47.623Z
1muflon1
<p>I am reading a paper on Voting Technology by Fujiwara (2015). He uses an RDD to estimate the causal effect. In his result tables, he mentions a stat named &quot;Pre-treatment Mean&quot;, which I don't know the meaning of. He defines it in the footnote as &quot;The pre-treatment mean is the estimated value of the dependent variable for a municipality with 40,500 registered voters that use paper ballot. Can someone explain what pre-treatment mean is and how it is calculated?</p>

<applied-econometrics>
Regression Discontinuity Design Result
Toshani Singh
# Regression Discontinuity Design Result

(Asked by: username_0 on 2024-03-28)

I am reading a paper on Voting Technology by Fujiwara (2015). He uses an RDD to estimate the causal effect. In his result tables, he mentions a stat named "Pre-treatment Mean", which I don't know the meaning of. He defines it in the footnote as "The pre-treatment mean is the estimated value of the dependent variable for a municipality with 40,500 registered voters that use paper ballot. Can someone explain what pre-treatment mean is and how it is calculated?

**Tags:** applied-econometrics


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## 1 answers

### Answer by username_1 on 2024-03-28. Score: 0

Pre treatment mean is simply the mean estimate of a variable before treatment was implemented.

There isn't a single way to estimate mean so there isn't a single way to estimate pre-treatment mean. A simplest estimator for a mean is: $\bar{x}= \sum\_i^n \frac{x\_i}{n}$.

Depending on context some other estimator for mean can be used.


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