Econometrics Study Guide
Statistical analysis of economic data — regression, hypothesis testing, instrumental variables, and causal inference.
Core topics in Econometrics
- OLS Regression
- Hypothesis Testing
- Multicollinearity
- Heteroskedasticity
- Time Series
- Panel Data
- Instrumental Variables
- Causal Inference
Why students struggle
Econometrics is the first course where you discover that 'correlation isn't causation' isn't a slogan — it's a rigorous distinction with techniques to address it.
How Fennie helps
Fennie generates identification-strategy problems: given a research question, pick the right method (RCT, IV, DiD, RD) and justify.
How to study Econometrics
- 01Master OLS assumptions cold before identification strategies
- 02Practice interpreting regression output in plain English
- 03Use Fennie for causal-identification problems
- 04Run regressions in R or Stata — theory alone doesn't stick
Frequently asked questions
Is econometrics useful outside academia?
Yes — increasingly used in data science, marketing analytics, and policy evaluation.
Do I need linear algebra?
Helpful for advanced econometrics; not required at intro level.
Does Fennie cover causal inference?
Yes — DiD, RD, IV, and matching methods with practice problems.
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National economy — GDP, inflation, unemployment, monetary and fiscal policy, and international trade.
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Consumer and firm behavior, market structures, factor markets, market failure, and welfare economics.
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Recording business transactions, preparing financial statements, and analyzing them for external users.
Managerial Accounting
Internal accounting — cost behavior, budgeting, variance analysis, and decision support for managers.