ECON 8873 Empirical Methods in Macroeconomics and Finance
We will study econometric models and methods that are useful to conduct substantive empirical research in macroeconomics and finance. We consider the estimation and evaluation of dynamic stochastic general equilibrium models, analysis of linear and nonlinear vector autoregressive models, time series models with regime switches and time-varying coefficients, as well as dynamic factor models. For the most part, we will focus on Bayesian methods of inference, with detailed discussions of suitable Markov-Chain- Monte-Carlo methods.
Course overview
- Department
- Economics
- School
- MCAS
- Credits
- 3
- Level
- Graduate
- Offered
- Every Spring
Catalog details
- Prerequisites
- Graduate level econometrics, time-series
Course evaluations
- Course rating
- 4.25 / 5 · Very Good
- Instructor rating
- 4.46 / 5 · Very Good
- Terms evaluated
- 5
| Term | Instructor | Course overall | Instructor overall | Well organized | Clear learning objectives | Intellectually challenging | Helpful assignments | Applicable beyond course | Attendance necessary | Weekly effort | Responses |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Fall 2025 | Pablo Guerron | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 5.0 | 10+ hrs/week | 3 of 4 |
| Spring 2025 | Paul D Mcnelis | 3.7 | 4.3 | 4.3 | 4.0 | 3.7 | 4.3 | 4.7 | 4.7 | 1–3 hrs/week | 3 of 4 |
| Spring 2024 | Pablo Guerron | 4.7 | 4.4 | 4.6 | 4.7 | 4.9 | 4.4 | 4.8 | 4.7 | — | 9 of 10 |
| Spring 2023 | Pablo Guerron | 4.8 | 5.0 | 4.8 | 4.7 | 4.7 | 5.0 | 4.5 | 5.0 | 4–6 hrs/week | 4 of 8 |
| Spring 2022 | Pablo Guerron | 3.0 | 3.8 | 4.2 | 4.0 | 3.8 | 5.0 | 4.2 | 3.8 | ≤ 1 hr/week | 5 of 7 |