# Econometric Methods-big Data

## ECON-6280

Examine advanced econometric and statistical methods for the analysis of high-dimensional data, otherwise known as “Big Data.” In this setting, detailed information for each unit of observation informs machine learning techniques such as classification and regression trees; rECandom forests; penalized regressions; and boosted estimation. These prediction methods are then utilized to improve causal modeling, with applications in the study of healthcare demand and supply modeling, and behavior of consumers and businesses.

3 credits
Cross-listed with:
ECON-4280 Econometric Methods-big Data
Prereqs:
none

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

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

2026

Econometric Methods-big Data (3c)

- Huaming Peng

Seats Taken: 1/5

2025

Econometric Methods-big Data (3c)

- Huaming Peng

Seats Taken: 1/5

Econometric Methods-big Data (3c)

- Huaming Peng

Seats Taken: 0/5

2024

Econometric Methods-big Data (3c)

- Huaming Peng

Seats Taken: 0/5

Econometric Methods-big Data (3c)

- Huaming Peng

Seats Taken: 5/5

2023

Econometric Methods-big Data (3c)

- Huaming Peng

Seats Taken: 0/5

2022

Econometric Methods-big Data (3c)

- Jason Ung Huh

Seats Taken: 0/19

Econometric Methods-big Data (3c)

- Huaming Peng

Seats Taken: 4/19

2021

Econometric Methods-big Data (3c)

- Jason Ung Huh

Seats Taken: 1/10

Econometric Methods-big Data (3c)

- Huaming Peng

Seats Taken: 2/9

2020

Econometric Methods-big Data (3c)

- Huaming Peng

Seats Taken: 0/9

2019

Econometric Methods-big Data (3c)

- Huaming Peng

Seats Taken: 5/9

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