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fix some typos in the intro and tried to fix the references on the doubleml notes #1

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fix some typos in the intro and tried to fix the references on the doubleml notes #1

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0f99044
Update ml-intro.Rmd
doctor-phil Jun 2, 2024
d1d17f3
Update ml-doubledebiased.Rmd
doctor-phil Jun 2, 2024
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2 changes: 1 addition & 1 deletion docs/rmd/ml-doubledebiased.Rmd
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Expand Up @@ -603,6 +603,6 @@ $$ \frac{\hat{\mu}(x) - \mu(x)}{\hat{\sigma}_n(x)} \leadsto N(0,1) $$

<!-- --- -->

# Bibliography
# References

<!-- --- -->
4 changes: 2 additions & 2 deletions docs/rmd/ml-intro.Rmd
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Expand Up @@ -61,9 +61,9 @@ if (exists("slides") && slides) {
# Introduction

<div class=notes>
These notes will examine the incorportion of machine learning
These notes will examine the incorporation of machine learning
methods in classic econometric techniques for estimating causal
effects. More specifally, we will focus on estimating treatment
effects. More specifically, we will focus on estimating treatment
effects using matching and instrumental variables. In these
estimators (and many others) there is a low-dimensional parameter
of interest, such as the average treatment effect, but estimating
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