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MODULE7_WAGE_GROUPS_SYNTHETIC

MODULE7_WAGE_GROUPS_SYNTHETIC

MODULE7_WAGE_GROUPS_SYNTHETIC synthetic teaching data for Module 7 dummy regressors, adjusted group gaps, interactions, and Chow-style tests.

Download CSV

Structure

other

File type

CSV

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 MODULE7_WAGE_GROUPS_SYNTHETIC from the dataset link first.
data = pd.read_stata("MODULE7_WAGE_GROUPS_SYNTHETIC.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

worker_idnumeric

worker_id used for Module 7 dummy regressors, adjusted group gaps, interactions, and Chow-style tests.

Missing values: Review source documentation before recoding missing values.

hourly_wagenumeric

hourly_wage used for Module 7 dummy regressors, adjusted group gaps, interactions, and Chow-style tests.

Missing values: Review source documentation before recoding missing values.

log_wagenumeric

log_wage used for Module 7 dummy regressors, adjusted group gaps, interactions, and Chow-style tests.

Missing values: Review source documentation before recoding missing values.

educationnumeric

education used for Module 7 dummy regressors, adjusted group gaps, interactions, and Chow-style tests.

Missing values: Review source documentation before recoding missing values.

experiencenumeric

experience used for Module 7 dummy regressors, adjusted group gaps, interactions, and Chow-style tests.

Missing values: Review source documentation before recoding missing values.

tenurenumeric

tenure used for Module 7 dummy regressors, adjusted group gaps, interactions, and Chow-style tests.

Missing values: Review source documentation before recoding missing values.

femalenumeric

female used for Module 7 dummy regressors, adjusted group gaps, interactions, and Chow-style tests.

Missing values: Review source documentation before recoding missing values.

marriednumeric

married used for Module 7 dummy regressors, adjusted group gaps, interactions, and Chow-style tests.

Missing values: Review source documentation before recoding missing values.

regionnumeric

region used for Module 7 dummy regressors, adjusted group gaps, interactions, and Chow-style tests.

Missing values: Review source documentation before recoding missing values.

industrynumeric

industry used for Module 7 dummy regressors, adjusted group gaps, interactions, and Chow-style tests.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.MODULE7_WAGE_GROUPS_SYNTHETIC is catalogued for Module 7 dummy regressors, adjusted group gaps, interactions, and Chow-style tests. 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.