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401KSUBS

401KSUBS

401KSUBS installed course data for Module 8 financial wealth heteroskedasticity, WLS, and LPM revisit.

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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

incnumeric

inc used for Module 8 financial wealth heteroskedasticity, WLS, and LPM revisit.

Missing values: Review source documentation before recoding missing values.

fsizenumeric

fsize used for Module 8 financial wealth heteroskedasticity, WLS, and LPM revisit.

Missing values: Review source documentation before recoding missing values.

nettfanumeric

nettfa used for Module 8 financial wealth heteroskedasticity, WLS, and LPM revisit.

Missing values: Review source documentation before recoding missing values.

agenumeric

age used for Module 8 financial wealth heteroskedasticity, WLS, and LPM revisit.

Missing values: Review source documentation before recoding missing values.

e401knumeric

e401k used for Module 8 financial wealth heteroskedasticity, WLS, and LPM revisit.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.401KSUBS is catalogued for Module 8 financial wealth heteroskedasticity, WLS, and LPM revisit. Installed data file; synthetic files are original practice data, and course files require license verification before public download.
  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.