SLEEP75
SLEEP75 installed course data for Module 7 qualitative controls in time-use regressions.
Structure
cross-sectional
File type
DTA
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 SLEEP75 from the dataset link first.
data = pd.read_stata("SLEEP75.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.
sleep used for Module 7 qualitative controls in time-use regressions.
Missing values: Review source documentation before recoding missing values.
totwrk used for Module 7 qualitative controls in time-use regressions.
Missing values: Review source documentation before recoding missing values.
educ used for Module 7 qualitative controls in time-use regressions.
Missing values: Review source documentation before recoding missing values.
age used for Module 7 qualitative controls in time-use regressions.
Missing values: Review source documentation before recoding missing values.
male used for Module 7 qualitative controls in time-use regressions.
Missing values: Review source documentation before recoding missing values.
smsa used for Module 7 qualitative controls in time-use regressions.
Missing values: Review source documentation before recoding missing values.
yngkid used for Module 7 qualitative controls in time-use regressions.
Missing values: Review source documentation before recoding missing values.