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Practice Questions
Selection Bias Practice Questions
Teach econ?
Check out our
econometrics test bank
.
1. What is omitted variable bias?
*
a. A sample that’s too small.
b. Selection bias in a regression context.
c. Low correlation between variables of interest.
d. Another way of saying ceteris paribus.
2. Random assignment is an ideal weapon in the fight against selection bias because
*
a. It generates apples-to-apples comparisons.
b. It generates an ideal R-squared value.
c. It’s easy to understand.
d. It’s easy to implement.
3. Regression attempts to simulate random assignment by:
*
a. Eliminating observations that have no effect on the research question.
b. Ignoring similarities between people.
c. Controlling for factors that matter.
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Mastering Econometrics
Course
(23 videos)
Introduction
The Path from Cause to Effect
Think Like a Master
Ceteris Paribus
Practice Questions
Selection Bias
Practice Questions
The Furious Five
Introduction to Randomized Trials
Practice Questions
How to Read Economics Research Papers: Randomized Controlled Trials (RCTs)
Practice Questions
Introduction to Regression Analysis
How to Read Economics Research Papers: Regression Analysis
Introduction to Instrumental Variables, Part One
Practice Questions
Introduction to Instrumental Variables, Part Two
How to Read Economics Research Papers: Instrumental Variables
Introduction to Regression Discontinuity Designs
How to Read Economics Research Papers: Regression Discontinuity Designs
Introduction to Differences-in-Differences
Practice Questions
How to Read Economics Research Papers: Differences-in-Differences
Bonus: Q&A with Master Joshway
Isn't Econometrics Boring?
What's the Difference between Econometrics and Statistics?
Are Machine Learning and Big Data Changing Econometrics?
What's With All the Kung Fu Stuff?
What's the Difference between Econometrics and Data Science?
If I Master Econometrics, What Jobs Can I Get?
Did You Drive for Uber?
Bonus: 2021 Nobel Prize in Economics
Joshua Angrist Nobel Prize Lecture 2021
Advanced Material: AEA Lecture Videos
Causality, Experiments, and Potential Outcomes