# 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
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| Spring | Summer | Fall
--- | --- | --- | ---
| (Session 1) | (Session 2) |
2024 | Econometric Methods-big Data (3c) Huaming Peng Seats Taken: 0/5 |  | Econometric Methods-big Data (3c) Huaming Peng Seats Taken: 0/5
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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