# Econometric Methods-big Data

## ECON-4280

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; random 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.

4 credits
Cross-listed with:
ECON-6280 Econometric Methods-big Data
Prereqs:
one of:
ECON-1200 Introductory Economics INQR-1200 Principles Of Economics INQR-1200 Principles Of Economics
and
one of:
MATH-1010 Calculus I MATH-1500 Calculus I For Arch,mgmt,hass
and
one of:
ENGR-2600 Modeling & Analysis Uncertaint MGMT-2100 Statistical Methods MATP-4600 Prob Theory & Applicatio PSYC-2310 Research Methods And Statistics I

# 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 (4c) Huaming Peng Seats Taken: 8/14 |  | Econometric Methods-big Data (4c) Huaming Peng Seats Taken: 10/19
2023 | Econometric Methods-big Data (4c) Huaming Peng Seats Taken: 6/19 |  | Econometric Methods-big Data (4c) Huaming Peng Seats Taken: 5/19
2022 | Econometric Methods-big Data (4c) Jason Ung Huh Seats Taken: 9/19 |  | Econometric Methods-big Data (4c) Huaming Peng Seats Taken: 12/19
2021 | Econometric Methods-big Data (4c) Jason Ung Huh Seats Taken: 11/19 |  | Econometric Methods-big Data (4c) Huaming Peng Seats Taken: 11/19
2020 |  |  | Econometric Methods-big Data (4c) Huaming Peng Seats Taken: 10/19
2019 |  |  | Econometric Methods-big Data (4c) Huaming Peng Seats Taken: 6/19
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