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PNTSPRD

PNTSPRD

PNTSPRD unavailable course data for Module 8 binary outcomes and LPM robust inference.

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

favwinnumeric

favwin used for Module 8 binary outcomes and LPM robust inference.

Missing values: Review source documentation before recoding missing values.

spreadnumeric

spread used for Module 8 binary outcomes and LPM robust inference.

Missing values: Review source documentation before recoding missing values.

favhomenumeric

favhome used for Module 8 binary outcomes and LPM robust inference.

Missing values: Review source documentation before recoding missing values.

neutralnumeric

neutral used for Module 8 binary outcomes and LPM robust inference.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.PNTSPRD is catalogued for Module 8 binary outcomes and LPM robust inference. Dataset not installed yet; use the course data folder to locate and install this file.
  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.