Alessandro Di Nola

Dr. Alessandro Di Nola is an Assistant Professor in the Department of Economics at Birmingham Business School, University of Birmingham, where he joined in September 2024. His research lies at the intersection of macroeconomics and public finance, focusing on taxation, tax avoidance, inequality, and gender disparities in labor markets. He completed his Ph.D. in Economics at Bocconi University in 2015 and held postdoctoral positions at the University of Barcelona and the University of Konstanz prior to his current appointment.

His research interests include:

• Macroeconomics with heterogeneous agents
• Tax avoidance and evasion
• Gender gaps in the labor market
• Quantitative macroeconomic modeling
• Firm dynamics and macro-labor

Dr. Di Nola's recent work explores the aggregate consequences of tax evasion, rescue policies for small businesses during the pandemic, and the gendered effects of minimum wage policies. His research often employs dynamic general equilibrium models and computational methods to analyze policy impacts. Several of his papers are forthcoming or published in leading journals such as the Review of Economic Dynamics and the International Economic Review.

His recent publications reflect a strong focus on taxation, inequality, and labor market dynamics, with increasing attention to gender-specific effects of economic policies. He actively develops and shares computational tools on GitHub, demonstrating a commitment to reproducible research.

Notable scientific contributions include:

• "The Aggregate Consequences of Tax Evasion" (Review of Economic Dynamics)
• "Taxation of Top Incomes and Tax Avoidance" (forthcoming, International Economic Review)
• "Rescue Policies for Small Businesses in the COVID-19 Recession" (Review of Economic Dynamics)
• "The Gendered Effects of the Minimum Wage" (under revision, International Economic Review)

Dr. Di Nola advises on research projects and collaborates with economists across Europe. While formal student advising is not detailed, his active research program suggests involvement in mentoring graduate researchers. He has been involved in projects analyzing fiscal responses to economic crises and structural labor market issues. His work often involves collaboration with institutions such as the Barcelona Economic Analysis Team (BEAT) and uses advanced computational techniques for model simulation and estimation.