MODULE8_FGLS_DEMO
MODULE8_FGLS_DEMO synthetic teaching data for Module 8 feasible GLS and robust standard errors after WLS.
Structure
other
File type
CSV
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 MODULE8_FGLS_DEMO from the dataset link first.
data = pd.read_stata("MODULE8_FGLS_DEMO.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.
observation_id used for Module 8 feasible GLS and robust standard errors after WLS.
Missing values: Review source documentation before recoding missing values.
outcome used for Module 8 feasible GLS and robust standard errors after WLS.
Missing values: Review source documentation before recoding missing values.
income used for Module 8 feasible GLS and robust standard errors after WLS.
Missing values: Review source documentation before recoding missing values.
age used for Module 8 feasible GLS and robust standard errors after WLS.
Missing values: Review source documentation before recoding missing values.
treatment used for Module 8 feasible GLS and robust standard errors after WLS.
Missing values: Review source documentation before recoding missing values.
variance_driver used for Module 8 feasible GLS and robust standard errors after WLS.
Missing values: Review source documentation before recoding missing values.
true_variance used for Module 8 feasible GLS and robust standard errors after WLS.
Missing values: Review source documentation before recoding missing values.