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. Â

3 credits

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)
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
2018
2017
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007