There is a wonderful article about Machine learning in the spring 2017 issue of the Journal of Economic Perspectives, and there is also a series of four fine articles in the AER May 2017. I decided to share as a BUHealth blog to all.
Whether you are curious, newly interested or an expert working in the area, I recommend the JEP one to you. The AER series is for more serious work. Here are the links (They should all be free to access, since they are all at the AEA.) Also see below for links on replication.
Machine Learning: An Applied Econometric Approach
- Sendhil Mullainathan and Jann Spiess
- Journal of Economic Perspectives
- vol. 31, no. 2, Spring 2017 (pp. 87-106)
Machine Learning in Econometrics (May, 2017)
Victor Chernozhukov, Denis Chetverikov, Mert Demirer, Esther Duflo, Christian Hansen and Whitney Newey
Ye Luo and Hai Wang
Susan Athey, Guido Imbens, Thai Pham and Stefan Wager
The series in the AER on Replication in microeconomics will also be of interest. This article title speaks for itself.
Replication in Microeconomics
James Berry, Lucas C. Coffman, Douglas Hanley, Rania Gihleb and Alistair J. Wilson
Daniel S. Hamermesh
Lucas C. Coffman, Muriel Niederle and Alistair J. Wilson
Replication and Ethics in Economics: Thirty Years after Dewald, Thursby, and Anderson
Maren Duvendack, Richard Palmer-Jones and W. Robert Reed
Replication and Economics Journal Policies
Jan H. Höffler
Replication, Meta-analysis, and Research Synthesis in Economics
Richard G. Anderson and Areerat Kichkha
A Preanalysis Plan to Replicate Sixty Economics Research Papers That Worked Half of the Time
Andrew C. Chang and Phillip Li