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TWOYEAR

TWOYEAR

TWOYEAR for Module 4 testing equality of education coefficients.

Download DTA

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 TWOYEAR from the dataset link first.
data = pd.read_stata("TWOYEAR.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

lwagenumeric

lwage used for Module 4 testing equality of education coefficients.

Missing values: Review source documentation before recoding missing values.

jcnumeric

jc used for Module 4 testing equality of education coefficients.

Missing values: Review source documentation before recoding missing values.

univnumeric

univ used for Module 4 testing equality of education coefficients.

Missing values: Review source documentation before recoding missing values.

expernumeric

exper used for Module 4 testing equality of education coefficients.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.TWOYEAR is catalogued for Module 4 testing equality of education coefficients. Open the linked Drive source to install the file before validating output.
  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.