Econometric Methods for 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
Prereqs:
none

Past Term Data

Offered
Not Offered
Offered as Cross-Listing Only
No Term Data
Spring Summer Fall
(Session 1) (Session 2)
2023
Econometric Methods-big Data (3c)
  • Huaming Peng
Seats Taken: 0/5
Econometric Methods-big Data (3c)
  • Huaming Peng
Seats Taken: 0/19
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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