Cutting Edge Economic Tools

RBB Economics, 2019

10 Pages Posted: 10 Nov 2020

Date Written: September 20, 2019

Abstract

The words “cutting edge” suggest something new and on the frontier of our understanding. Although, when applied to economic tools, the word “new” has to be understood within the context of the development of economic theory, for which change tends to take place over years or decades rather than months. “Cutting edge” also suggests something sophisticated, but some of the most powerful economic insights are also the most simple.

Cutting edge economics tools can be broken down into cutting edge theoretical and empirical tools. For theoretical tools, this paper focuses on vertical merger theories of harm, which have risen to prominence over the last few years. For cutting edge empirical tools, the paper considers machine learning techniques applied to big data, which have started to gain mainstream application. The paper finishes with a cautionary example of how apparently cutting edge econometric analysis can go wrong based on the Westpac bank bill swap rate (BBSW) manipulation case in Australia.

Keywords: Cutting Edge, VGUPPI, Bargaining, Machine Learning, Algorithmic Collusion, LASSO, Classification and Regression Trees, Random Forests, Circularity

JEL Classification: L4, C1, G1

Suggested Citation

Whelan, Chris, Cutting Edge Economic Tools (September 20, 2019). RBB Economics, 2019, Available at SSRN: https://ssrn.com/abstract=3723102 or http://dx.doi.org/10.2139/ssrn.3723102

Chris Whelan (Contact Author)

RBB Economics

London WC1V 7BD
United Kingdom

Do you have a job opening that you would like to promote on SSRN?

Paper statistics

Downloads
46
Abstract Views
295
PlumX Metrics