@@ -91,7 +91,7 @@ These variables and other data used in the paper are available for download on D
9191We will use pandas' `.read_stata()` function to read in data contained in the `.dta` files to dataframes
92929393```{code-cell} python3
94-df1 = pd.read_stata('https://github.com/QuantEcon/lecture-python/blob/master/source/_static/lecture_specific/ols/maketable1.dta?raw=true')
94+df1 = pd.read_stata('https://github.com/QuantEcon/lecture-python.myst/raw/refs/heads/main/lectures/_static/lecture_specific/ols/maketable1.dta')
9595df1.head()
9696```
9797@@ -323,7 +323,7 @@ Let's estimate some of the extended models considered in the paper
323323(Table 2) using data from `maketable2.dta`
324324325325```{code-cell} python3
326-df2 = pd.read_stata('https://github.com/QuantEcon/lecture-python/blob/master/source/_static/lecture_specific/ols/maketable2.dta?raw=true')
326+df2 = pd.read_stata('https://github.com/QuantEcon/lecture-python.myst/raw/refs/heads/main/lectures/_static/lecture_specific/ols/maketable2.dta')
327327328328# Add constant term to dataset
329329df2['const'] = 1
@@ -475,7 +475,7 @@ used for estimation)
475475476476```{code-cell} python3
477477# Import and select the data
478-df4 = pd.read_stata('https://github.com/QuantEcon/lecture-python/blob/master/source/_static/lecture_specific/ols/maketable4.dta?raw=true')
478+df4 = pd.read_stata('https://github.com/QuantEcon/lecture-python.myst/raw/refs/heads/main/lectures/_static/lecture_specific/ols/maketable4.dta')
479479df4 = df4[df4['baseco'] == 1]
480480481481# Add a constant variable