# Data Anaysis In Econ & Finance

## ECON-6030

For students who are interested in empirical research in economic- and finance-oriented institutions, this course provides a wide range of econometric tools for specification, estimation, prediction, and evaluation of economic and financial models. Methods to identify causal effects are emphasized. Mathematical methods of econometrics are developed for tools such as instrumental variables, regression discontinuity, and difference-in-differences. Advanced topics including time series, panel data, and quantile regression will also be addressed. In particular, we examine how the quantile regression can potentially improve predictability of the stock market and relate it to the current development in this area.

3 credits
Cross-listed with:
ECON-4580 Data Anaysis In Econ & Finance
Prereqs:
MATH-2010 Multivar Calc & Matrix Algebra

# Past Term Data
Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
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Detailed View

| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2026 |  |  |

2025

Data Anaysis In Econ & Finance (3c)

- Rui Fan

Seats Taken: 5/10

2024

Data Anaysis In Econ & Finance (3c)

- Rui Fan

Seats Taken: 10/10

2023

Data Anaysis In Econ & Finance (3c)

- Rui Fan

Seats Taken: 6/10

2022

Data Anaysis In Econ & Finance (3c)

- Rui Fan

Seats Taken: 5/19

2021

Applied Econometrics (3c)

- Rui Fan

Seats Taken: 0/19

Data Anaysis In Econ & Finance (3c)

- Rui Fan

Seats Taken: 4/19

2020

Applied Econometrics (3c)

- Rui Fan

Seats Taken: 8/19

Applied Econometrics (3c)

- Rui Fan

Seats Taken: 2/19

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