From 38f54284320cf073b574bbb594b374f79a34506b Mon Sep 17 00:00:00 2001
From: s6emschw <64075224+s6emschw@users.noreply.github.com>
Date: Thu, 16 Sep 2021 12:49:59 +0200
Subject: [PATCH] Added reviews section.

---
 README.rst | 5 +++++
 1 file changed, 5 insertions(+)

diff --git a/README.rst b/README.rst
index 6b8ea7a..79e919f 100644
--- a/README.rst
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@@ -64,6 +64,11 @@ Textbooks
 
 We use the book `Applied computational economics and finance <https://mitpress.mit.edu/books/applied-computational-economics-and-finance>`_ by `Mario Miranda <https://aede.osu.edu/our-people/mario-javier-miranda>`_ and `Paul Fackler <https://pfackler.wordpress.ncsu.edu>`_ throughout the course. A special thanks to `Randall Romero Aguilar <https://github.com/randall-romero>`_ who also build a course around this book and maintains a Python implementation of the `CompEcon <https://github.com/randall-romero/CompEcon>`_ toolbox. Many of our code examples are building on his implementation there. In addition, we will also consult `Numerical methods in economics <https://mitpress.mit.edu/books/numerical-methods-economics>`_ by `Ken Judd <https://kenjudd.org/>`_ for some of the more advanced material.
 
+Reviews
+-------
+
+A review of machine learning (ML) literature for economics and econometrics `Machine Learning Methods That Economists Should Know About <https://www.annualreviews.org/doi/pdf/10.1146/annurev-economics-080217-053433>`_ by `Susan Athey <https://www.gsb.stanford.edu/faculty-research/faculty/susan-athey>`_  and `Guido W. Imbens <https:www.gsb.stanford.edu/faculty-research/faculty/guido-w-imbens>`_ also serves as a useful resource.
+
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