Assessment

Quizzes & exams

Three short quizzes, a midterm, a group project and a final. Quizzes are held at the start of class; the midterm covers the first half, the final the second. Dates, coverage and the papers are below.

Attendance 12% Quizzes 18% Midterm 20% Group project 20% Final 30%
Check your Quiz 1 result Enter your first name, last name, or full name and see only your own Quiz 1 total result. Check your Quiz 2 result Enter your first name, last name, or full name and see only your own Quiz 2 total result.

Assessment schedule

DateAssessmentCoverageWeight
Thu 2 JulQuiz 1Lectures 1–3 · S&W 1–46%
Wed 8 JulQuiz 2Lectures 4–6 · S&W 5–76%
Fri 10 JulMidterm ExaminationLectures 1–6 · S&W 1–720%
Tue 14 JulQuiz 3 + Presentation InformationLectures 7–8 · S&W 10, 146%
Thu 16 JulGroup Project PresentationsEmpirical project20%
Fri 17 JulFinal ExaminationLectures 7–10 · S&W 10, 14–1630%

Coverage

Midterm · Lectures 1–6

  • Probability and statistics: random variables, the sampling distribution, estimators and tests.
  • Linear regression with one regressor; OLS, and the least-squares assumptions.
  • Hypothesis tests and confidence intervals; heteroskedasticity-robust standard errors.
  • Multiple regression, omitted-variable bias and the F-test.

Final · Lectures 7–10

  • Panel data: entity and time fixed effects, clustered standard errors.
  • Time series and forecasting; the random walk and the efficient-market hypothesis.
  • Dynamic causal effects; distributed lags and HAC standard errors.
  • Volatility (ARCH/GARCH), Value-at-Risk, VAR and cointegration.

Group project

In small groups you take a financial or macroeconomic question of your own and answer it with the tools of the course, on real data, in Stata or Python. You hand in a short write-up and present your findings on Thursday 16 July. Marks reward a clear question, a sound identification strategy, honest standard errors, and a result you can defend, not the size of the model.

What to submit. A 6–10 page report and a short slide deck, plus the code and data so the analysis can be reproduced. Choose a question where the data exists and a regression can actually answer it.

Exam materials

Papers are posted here after each assessment has been sat. Quiz 1 and Quiz 2 (paper and solutions) are available below; the midterm and final will appear once each has taken place. You can also revise from the topics list, the problem sets, and the lecture labs.
Quiz 1 · Lectures 1–3
Probability, statistics & one-regressor OLS
Quiz 2 · Lectures 4–6
Inference & multiple regression
Quiz 3 · Lectures 7–8
Panel data & time series
Midterm · Lectures 1–6
Midterm Examination
Stock & Watson Ch 1–7.
Final · Lectures 7–10
Final Examination
Stock & Watson Ch 10, 14–16.
Reference
Course topics list
The examinable topics are covered in the syllabus and the module pages.
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