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MLB1

MLB1

MLB1 installed course data for Module 7 salary models with group indicators and joint restrictions.

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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 MLB1 from the dataset link first.
data = pd.read_stata("MLB1.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

lsalarynumeric

lsalary used for Module 7 salary models with group indicators and joint restrictions.

Missing values: Review source documentation before recoding missing values.

yearsnumeric

years used for Module 7 salary models with group indicators and joint restrictions.

Missing values: Review source documentation before recoding missing values.

gamesyrnumeric

gamesyr used for Module 7 salary models with group indicators and joint restrictions.

Missing values: Review source documentation before recoding missing values.

bavgnumeric

bavg used for Module 7 salary models with group indicators and joint restrictions.

Missing values: Review source documentation before recoding missing values.

hrunsyrnumeric

hrunsyr used for Module 7 salary models with group indicators and joint restrictions.

Missing values: Review source documentation before recoding missing values.

blacknumeric

black used for Module 7 salary models with group indicators and joint restrictions.

Missing values: Review source documentation before recoding missing values.

hispannumeric

hispan used for Module 7 salary models with group indicators and joint restrictions.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.MLB1 is catalogued for Module 7 salary models with group indicators and joint restrictions. 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.