Applications in Economics

Not a lot of research in economics has been done using ML (Machine Learning, not Maximum Likelihood!), but numbers are growing. I believe, we will see a exponential growth in near future.

Bringing cutting-edge machine learning methods into econometrics is currently an active area. Leading economists who are active in machine learning include:

Victor Chernozhukov:    http://web.mit.edu/~vchern/www/

                                             https://faculty.fuqua.duke.edu/~abn5/belloni-index.html
Alex Belloni:                     https://faculty.fuqua.duke.edu/~abn5/belloni-index.html
Christian Hansen:           http://faculty.chicagobooth.edu/christian.hansen/research/
Susan Athey:                    https://www.gsb.stanford.edu/faculty-research/faculty/susan-athey

 https://people.stanford.edu/athey/research
Guido Imbens:                https://www.gsb.stanford.edu/faculty-research/faculty/guido-w-imbens

https://people.stanford.edu/imbens/publications

In this page, I will try to compile a list of already published work in economics that used ML and make a list of  possible areas in economics where ML can be used successfully.

  1. http://econ.sciences-po.fr/sites/default/files/file/jochmans/14.387.Handout1-v2.pdf
  2. http://www.nber.org/econometrics_minicourse_2013/Chernozhukov.pdf
  3. cameron.econ.ucdavis.edu/e240f/trmachinelearningseminar.pdf
  4. http://cameron.econ.ucdavis.edu/e240f/machinelearning.html