Module 1

Foundations of Econometrics

Core ideas for thinking like an applied econometrician: models, variables, error terms, data structures, and interpretation.

12 lessons3 to 4 hoursFoundational
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Module resources

0 quiz checks0 datasets2 notebooks

Lessons

Notebook labs

Official economic indicator

Official Data Observatory

Load official economic indicators from Ceteris Lab's server export endpoint, plot a time series, calculate growth rates, and discuss limitations.

Scored review quiz

Module 1 review

These questions sample ideas from across the module. Answer all questions, submit once, then review the explanations and score.

0/12 answered

What is econometrics?

1. Which statement best captures the role of econometrics?

Economic model vs econometric model

2. What changes when an economic idea becomes an econometric model?

Dependent and independent variables

3. In a model explaining wage using education and experience, what role does wage play?

What is the error term?

4. Why does an econometric model include an error term?

Types of economic data

5. Why should students identify the data structure before choosing a method?

Cross-sectional data

6. Which example is cross-sectional?

Time-series data

7. What is distinctive about time-series data?

Pooled cross sections

8. What makes pooled cross sections different from panel data?

Panel data

9. Why can panel data be powerful for economic analysis?

Correlation vs causation

10. Why is a positive education-wage correlation not automatically a causal estimate?

Ceteris paribus

11. What does a ceteris paribus interpretation try to do?

First Python data example

12. After summarizing wage and education in Python, what is the most careful first interpretation?

Choices are shuffled each time the review starts.