Econometric methods and data Science techniques: A review of two strands of literature and an introduction to hybrid methods
The data market has been growing at an exceptional pace. Consequently, more sophisticated strategies to conduct economic forecasts have been introduced with machine learning techniques. Does machine learning pose a threat to conventional econometric methods in terms of forecasting? Moreover, does ma...
Saved in:
Main Authors: | XIE, Tian, Jun YU, ZENG, Tao |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2020
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/soe_research/2392 https://ink.library.smu.edu.sg/context/soe_research/article/3391/viewcontent/mars_v8_.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Editorial introduction to the special issue entitled: Spatial econometrics: New methods and applications
by: YANG, Zhenlin
Published: (2019) -
Comment: A Selective Overview of Nonparametric Methods in Financial Econometrics
by: PHILLIPS, Peter Charles Bonest, et al.
Published: (2005) -
Special Issue of Econometric Theory on SETA 2010: Editors’ Introduction
by: PHILLIPS, Peter C. B., et al.
Published: (2014) -
Bayesian methods in economics and finance: Editor's introduction
by: Jun YU,
Published: (2022) -
Econometric Reviews honors Esfandiar Maasoumi
by: PHILLIPS, Peter C. B., et al.
Published: (2017)