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MODULE8_ROBUST_SE_DEMO

MODULE8_ROBUST_SE_DEMO

MODULE8_ROBUST_SE_DEMO synthetic teaching data for Module 8 conventional versus robust standard errors and robust joint tests.

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Structure

other

File type

CSV

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 MODULE8_ROBUST_SE_DEMO from the dataset link first.
data = pd.read_stata("MODULE8_ROBUST_SE_DEMO.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

observation_idnumeric

observation_id used for Module 8 conventional versus robust standard errors and robust joint tests.

Missing values: Review source documentation before recoding missing values.

outcomenumeric

outcome used for Module 8 conventional versus robust standard errors and robust joint tests.

Missing values: Review source documentation before recoding missing values.

x1numeric

x1 used for Module 8 conventional versus robust standard errors and robust joint tests.

Missing values: Review source documentation before recoding missing values.

x2numeric

x2 used for Module 8 conventional versus robust standard errors and robust joint tests.

Missing values: Review source documentation before recoding missing values.

groupnumeric

group used for Module 8 conventional versus robust standard errors and robust joint tests.

Missing values: Review source documentation before recoding missing values.

error_variancenumeric

error_variance used for Module 8 conventional versus robust standard errors and robust joint tests.

Missing values: Review source documentation before recoding missing values.

true_errornumeric

true_error used for Module 8 conventional versus robust standard errors and robust joint tests.

Missing values: Review source documentation before recoding missing values.

Practice tasks

  1. 1.MODULE8_ROBUST_SE_DEMO is catalogued for Module 8 conventional versus robust standard errors and robust joint tests. 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.