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401KSUBS

401KSUBS

401KSUBS installed course data for Module 7 participation indicators and linear probability practice.

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Structure

cross-sectional

File type

DTA

Module

Course catalog

Visibility

public

Preview table

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.

Python loading code

import pandas as pd

# Download 401KSUBS from the dataset link first.
data = pd.read_stata("401KSUBS.DTA")
print(data.head())

Check the variable dictionary and source documentation before dropping or recoding missing values.

Dataset AI assistant

Get help with variables, graphs, regression questions, limitations, and Python loading code.

Variables dictionary

e401knumeric

e401k used for Module 7 participation indicators and linear probability practice.

Missing values: Review source documentation before recoding missing values.

piranumeric

pira used for Module 7 participation indicators and linear probability practice.

Missing values: Review source documentation before recoding missing values.

nettfanumeric

nettfa used for Module 7 participation indicators and linear probability practice.

Missing values: Review source documentation before recoding missing values.

incnumeric

inc used for Module 7 participation indicators and linear probability practice.

Missing values: Review source documentation before recoding missing values.

agenumeric

age used for Module 7 participation indicators and linear probability practice.

Missing values: Review source documentation before recoding missing values.

fsizenumeric

fsize used for Module 7 participation indicators and linear probability practice.

Missing values: Review source documentation before recoding missing values.

malenumeric

male used for Module 7 participation indicators and linear probability practice.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.401KSUBS is catalogued for Module 7 participation indicators and linear probability practice. Installed original synthetic CSV; estimates are practice results, not real empirical findings.
  2. 2.Create one summary table and one graph that support an econometric question.
  3. 3.Write one limitation about measurement, missing data, or omitted variables.