Back to datasets

CEOSAL2

CEOSAL2

CEOSAL2 for Module 3 log models and controls.

Open LINK data

Structure

cross-sectional

File type

LINK

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 CEOSAL2 from the dataset link first.
data = pd.read_stata("CEOSAL2.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

salarynumeric

salary used for Module 3 log models and controls.

Missing values: Review source documentation before recoding missing values.

lsalarynumeric

lsalary used for Module 4 professional regression reporting.

Missing values: Review source documentation before recoding missing values.

salesnumeric

sales used for Module 3 log models and controls.

Missing values: Review source documentation before recoding missing values.

lsalesnumeric

lsales used for Module 4 professional regression reporting.

Missing values: Review source documentation before recoding missing values.

mktvalnumeric

mktval used for Module 3 log models and controls.

Missing values: Review source documentation before recoding missing values.

lmktvalnumeric

lmktval used for Module 4 professional regression reporting.

Missing values: Review source documentation before recoding missing values.

profitsnumeric

profits used for Module 3 log models and controls.

Missing values: Review source documentation before recoding missing values.

ceotennumeric

ceoten used for Module 3 log models and controls.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.CEOSAL2 is catalogued for Module 3 log models and controls. 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.