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

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
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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