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HPRICE1

HPRICE1

HPRICE1 installed course data for Module 8 housing variance, log transformations, BP tests, White tests, and WLS.

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 HPRICE1 from the dataset link first.
data = pd.read_stata("HPRICE1.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

pricenumeric

price used for Module 8 housing variance, log transformations, BP tests, White tests, and WLS.

Missing values: Review source documentation before recoding missing values.

lpricenumeric

lprice used for Module 8 housing variance, log transformations, BP tests, White tests, and WLS.

Missing values: Review source documentation before recoding missing values.

sqrftnumeric

sqrft used for Module 8 housing variance, log transformations, BP tests, White tests, and WLS.

Missing values: Review source documentation before recoding missing values.

bdrmsnumeric

bdrms used for Module 8 housing variance, log transformations, BP tests, White tests, and WLS.

Missing values: Review source documentation before recoding missing values.

lotsizenumeric

lotsize used for Module 8 housing variance, log transformations, BP tests, White tests, and WLS.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.HPRICE1 is catalogued for Module 8 housing variance, log transformations, BP tests, White tests, and WLS. Installed data file; synthetic files are original practice data, and course files require license verification before public download.
  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.