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ELEM94_95

ELEM94_95

ELEM94_95 for Module 4 teacher salary and benefits comparison.

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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 ELEM94_95 from the dataset link first.
data = pd.read_stata("ELEM94_95.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

lavgsalnumeric

lavgsal used for Module 4 teacher salary and benefits comparison.

Missing values: Review source documentation before recoding missing values.

bsnumeric

bs used for Module 4 teacher salary and benefits comparison.

Missing values: Review source documentation before recoding missing values.

lenrolnumeric

lenrol used for Module 4 teacher salary and benefits comparison.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.ELEM94_95 is catalogued for Module 4 teacher salary and benefits comparison. 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.