I am a researcher in Economics with a background in Mathematics and a passion for programming.

I received my Ph.D. in Economics in 2014 from University of Milan Bicocca, and since November 2018 I am back in its Economics department as a researcher.

You can download my CV here.

My main research interests are Network Theory (and in particular applications to economic and financial networks), Experimental Economics, Tax Compliance and Bibliometrics.

• Battiston, P., Duncan, D. R., Gamba, S., Santoro, A. Audit publicity and tax compliance: a natural experiment Scandinavian Journal of Economics, Forthcoming

• Battiston, P. (2016), Constrained network formation, Italian Economic Journal, 2(3), 347-362.

• Battiston, P., Gamba, S. (2016), The Impact of Social Pressure on Tax Compliance: a Field Experiment, International Review of Law and Economics, 46, 78–85.

• Battiston, P., Stanca, L. (2015), Boundedly Rational Opinion Dynamics in Social Networks: Does Indegree Matter?, Journal of Economic Behavior and Organization, 119, 400-421.

Most of my working papers can be downloaded from my Ideas/REPEC page.

My email address is ; for my ORCID profile, click here.

A honest glossary of some Economics terminology.

• A short note on the approximated computation of the p-value in the Mann-Whitney-Wilcoxon test
• A non-parametric test on ranks in multiple series

I keep some of my old study material (class notes and small essays) here.

I am a pandas core developer.

An (obsolete) interactive cross-country comparison of public expenditure (in Italian)

Visit Unicerca to be automatically updated about research/teaching positions in Italian universities.

• Slides of my introduction to networks and contagion (Columbia University, February 2017; Festa della Scienza e della Filosofia, Foligno, April 2017)
• on Bitcoin: slides of my presentation in Università Sapienza (Rome, December 2014 - in Italian)
• on gambling: the material which I used in some lectures given in various schools (in Italian).
• Slides and notebooks from my tutorial and presentation about the pandas python library for data manipulation.
• Slides and materials from other occasional talks/presentations