In this program
- Linear econometric models
- Panel and time series data
- Policy and interpretation
Linear econometric models
Econometrics · STEM / applied
Classical linear regression assumptions (Gauss–Markov)
Objectives
- Classical linear regression assumptions (Gauss–Markov)
- Heteroskedasticity: detection
- Robust SEs
- Autocorrelation in time series regressions
- Instrumental variables (introduction)
- Simultaneous equations models (overview)
Study materials
- Study guideComing soon
- Exam StrategyComing soon
- Common MistakesComing soon
- WorksheetsComing soon
- Word problemsComing soon
- Mixed PracticeComing soon
- Multi-Unit ProblemsComing soon
- ReviewComing soon
- Practice testComing soon
- Answer keyComing soon
Interactive practice
Quizzes, typed answers, and flashcards for this unit — coming soon.
- Coming soon
Quiz
Multiple-choice questions with instant feedback
- Coming soon
Typed practice
Type answers and check them
- Coming soon
Flashcards
Vocabulary and key facts
- Coming soon
Mixed quiz
Harder mixed review for this standard