From 0f99044082e4d6a55a0ad199f866213d7e4d46c4 Mon Sep 17 00:00:00 2001
From: Phil Solimine <15682144+doctor-phil@users.noreply.github.com>
Date: Sun, 2 Jun 2024 12:02:27 -0700
Subject: [PATCH 1/2] Update ml-intro.Rmd

---
 docs/rmd/ml-intro.Rmd | 4 ++--
 1 file changed, 2 insertions(+), 2 deletions(-)

diff --git a/docs/rmd/ml-intro.Rmd b/docs/rmd/ml-intro.Rmd
index 293cfa5..e1e5524 100644
--- a/docs/rmd/ml-intro.Rmd
+++ b/docs/rmd/ml-intro.Rmd
@@ -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

From d1d17f3da655829d2c1eb7d417d385fe84688d94 Mon Sep 17 00:00:00 2001
From: Phil Solimine <15682144+doctor-phil@users.noreply.github.com>
Date: Sun, 2 Jun 2024 12:13:51 -0700
Subject: [PATCH 2/2] Update ml-doubledebiased.Rmd

try to fix bibliography
---
 docs/rmd/ml-doubledebiased.Rmd | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/rmd/ml-doubledebiased.Rmd b/docs/rmd/ml-doubledebiased.Rmd
index e8b05ec..5b94285 100644
--- a/docs/rmd/ml-doubledebiased.Rmd
+++ b/docs/rmd/ml-doubledebiased.Rmd
@@ -603,6 +603,6 @@ $$ \frac{\hat{\mu}(x) - \mu(x)}{\hat{\sigma}_n(x)} \leadsto N(0,1) $$
 
 <!-- --- -->
 
-# Bibliography
+# References
 
 <!-- --- -->