BWGHT
BWGHT for Module 3 omitted-variable comparison.
Structure
cross-sectional
File type
LINK
Module
Course catalog
Visibility
public
Preview rows are shown when safely installed in the app. External or licensed files may need to be opened from the source link.
No local preview table is installed for this dataset. Use the download/source link, then load it with the Python example below.
import pandas as pd
# Download BWGHT from the dataset link first.
data = pd.read_stata("BWGHT.DTA")
print(data.head())Check the variable dictionary and source documentation before dropping or recoding missing values.
Get help with variables, graphs, regression questions, limitations, and Python loading code.
bwght used for Module 3 omitted-variable comparison.
Missing values: Review source documentation before recoding missing values.
cigs used for Module 3 omitted-variable comparison.
Missing values: Review source documentation before recoding missing values.
faminc used for Module 3 omitted-variable comparison.
Missing values: Review source documentation before recoding missing values.
motheduc used for Module 4 restricted and unrestricted F tests.
Missing values: Review source documentation before recoding missing values.
parity used for Module 5 large-sample inference and standard-error ratios.
Missing values: Review source documentation before recoding missing values.
fatheduc used for Module 4 restricted and unrestricted F tests.
Missing values: Review source documentation before recoding missing values.