Machine Learning: New Tools for Economic Analysis
Katsuyuki Tanaka and
No DP2022-22, Discussion Paper Series from Research Institute for Economics & Business Administration, Kobe University
This paper presents some of the key concepts for understanding machine learning. We briefly explain the basics and jargon related to machine learning and how it can be applied in economic analysis. This paper aims to reverse the impression of machine learning as a complicated technology, aid economists to become more familiar with it and start considering it as an alternative and attractive tool for new economic analysis.
Keywords: Machine learning; Data science (search for similar items in EconPapers)
JEL-codes: A10 C00 C01 (search for similar items in EconPapers)
Pages: 20 pages
References: Add references at CitEc
Citations: Track citations by RSS feed
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: https://EconPapers.repec.org/RePEc:kob:dpaper:dp2022-22
Access Statistics for this paper
More papers in Discussion Paper Series from Research Institute for Economics & Business Administration, Kobe University 2-1 Rokkodai, Nada, Kobe 657-8501 JAPAN. Contact information at EDIRC.
Bibliographic data for series maintained by Office of Promoting Research Collaboration, Research Institute for Economics & Business Administration, Kobe University ().