Piperic
similar sites
‹ ProfileAI ReportTools

Sites similar to matthewrousu.com

Matthew Rousu – Dean and Professor of Economics · ranked by shared content topics & relevance
74match
dludwinski.com
Daniel Ludwinski – Professor of Economics
1 shared topicseconomy
72match
rolandrathelot.com
Roland Rathelot – Professor of Economics, ENSAE, IP Paris, and CREST
1 shared topicseconomy
71match
arindube.com
Arindrajit Dube – Provost Professor of Economics, UMass Amherst.
1 shared topicseconomy
71match
kukeconconsult.com
Kai-Uwe Kuhn – Professor of Economics – Competition Economic
1 shared topicseconomy
70match
arkolakis.com
Costas Arkolakis | Professor of Economics, Yale University
1 shared topicseconomy
69match
andrewdustan.com
Andrew Dustan, Associate Professor of Economics, William & Mary
1 shared topicseconomy
69match
kurtlavetti.com
Kurt Lavetti, Professor of Economics, The Ohio State University
1 shared topicseconomy
69match
kulkarnibooks.com
Dr. Kulkarni | Economics Professor
1 shared topicseconomy
68match
maxgillman.com
Max Gillman – Friedrich A. Hayek Professor of Economic History; Department of Economics; University of Missouri – St. Louis
1 shared topicseconomy
67match
bengolub.net
Ben Golub - economics and computer science professor at Northwestern
1 shared topicseconomy
67match
thejurisjot.com
The juris jot – a blog of law, economics and literature
1 shared topicseconomy
67match
2morrownomics.com
2morrownomics – Futurology, politics and economics
1 shared topicseconomy
67match
5bpecon.com
5 Basic Principles of Economics – Thinking like an Economist
1 shared topicseconomy
67match
ioananeamtu.com
Ioana Neamțu – Senior Economist
1 shared topicseconomy
67match
sofiewaltl.com
Sofie R Waltl – Economist
1 shared topicseconomy
67match
mayamoritz.com
Maya Moritz – Economics and Crime Research and Writing
1 shared topicseconomy
67match
dnaeconomics.com
DNA Economics – Making economic sense of common problems
1 shared topicseconomy
67match
arlingtoneconomics.com
Arlington Economics – Leave the dismal to us
1 shared topicseconomy

How the match score works

Each match is a 0–100 similarity score — the higher it is, the more two sites resemble one another. It’s computed automatically from our own crawl data (never from what a site says about itself) by combining several independent signals, so a high score means several of them point the same way:

No single signal decides the result — they’re blended together. Treat the score as a way to rank candidates rather than an absolute percentage; the chips on each result show which signals contributed.