Replication Package for: Detecting Edgeworth Cycles (Version 1)

Name: Replication Package for: Detecting Edgeworth Cycles (Version 1)
Keywords: Antitrust, Edgeworth cycles, Markups, Economics, Deep neural networks, Machine learning, Fuel prices, Nonparametric methods, Industrial Organization, Spectral analysis

Research datakeyboard_double_arrow_right Dataset 19 May 2023 English Publisher:Zenodo

Authors: Holt, Timothy; Igami, Mitsuru; Scheidegger, Simon;

doi: 10.5281/zenodo.7950794

Replication Package for: Detecting Edgeworth Cycles (Version 1)

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Abstract

This replication package contains the data and the code to generate the results reported in "Detecting Edgeworth Cycles" by Timothy Holt, Mitsuru Igami, and Simon Scheidegger, to be published in The Journal of Law and Economics.

Related Organizations

Universita della Svizzera Italiana
Switzerland
Yale University
United States

Keywords

Antitrust, Edgeworth cycles, Markups, Economics, Deep neural networks, Machine learning, Fuel prices, Nonparametric methods, Industrial Organization, Spectral analysis

1 Research products, page 1 of 1

Replication Package for: Detecting Edgeworth Cycles (Version 2)
2023IsVersionOf

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	0
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Average
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Average
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Average