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RENTAL

RENTAL

RENTAL for Module 4 rent and population inference.

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

rentnumeric

rent used for Module 4 rent and population inference.

Missing values: Review source documentation before recoding missing values.

popnumeric

pop used for Module 4 rent and population inference.

Missing values: Review source documentation before recoding missing values.

avgincnumeric

avginc used for Module 4 rent and population inference.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.RENTAL is catalogued for Module 4 rent and population inference. 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.