Welcome! I am a Ph.D. candidate in Economics at CEMFI. I am available for interviews on the 2024/25 job market.

My research interests are in the area of Macro/Labor Economics, with a particular focus on income dynamics and labor market duality. I am also interested in Econometrics, whose tools I am currently exploiting in my research projects. I have expertise in working with large administrative datasets.

I hold a MSc in Economics from Bocconi University, and I did my undergraduate studies at the University of Turin and at the Collegio Carlo Alberto (Honors Program). I worked as a research assistant at Bocconi University and Fondazione DeBenedetti.

📃 Download my CV.

New: I am currently visiting the Italian Social Security Institute (INPS) as a researcher in the VisitINPS scholars program.

Interests
  • Macroeconomics
  • Labor Economics
  • Econometrics
Education
  • PhD candidate in Economics (CEMFI)
  • MSc in Economics and Finance (CEMFI)
  • MSc in Economics (Bocconi University)
  • BSc in Economics (Turin University & Collegio Carlo Alberto)

Research

Working papers

Income dynamics in dual labor markets (Job market paper)

Presented at: EWMES 2022 (Berlin School of Economics), XV Vilfredo Pareto Workshop (Collegio Carlo Alberto), XX Brucchi Luchino Labour Economics Workshop (University of Naples Federico II), Bocconi University (Macro Brown Bag seminar series 2023/2024 and Fondazione DeBenedetti Workshop)

Abstract: In many labor markets, long-term jobs coexist with short-term, fixed-duration contracts. While some workers hold stable lifetime positions, others face employment instability, transitioning through multiple short-term jobs before eventually securing a stable contract. This paper investigates to which extent employment instability arises from contract types versus workers’ characteristics, and how labor market duality affects individual income volatility. I propose a statistical framework in which observable and latent individual characteristics shape both labor market trajectories and income dynamics. To track income dynamics, the model decomposes the portion of income not influenced by individual characteristics into a persistent Markov component and a transitory innovation, both of which evolve non-linearly over time, systematically varying with labor market status and transitions. To track labor market trajectories, the model estimates a Markovian process, representing how workers transition across different labor statuses throughout their careers. The findings highlight that latent characteristics are key drivers of heterogeneity in employment instability and that labor market status and transitions significantly influence income volatility. The paper further explores the impact of employment instability on wealth accumulation, revealing substantial welfare costs driven by increased precautionary savings among specific groups of workers.

Work in progress

Temporary jobs, permanent consequences (Slides)

With Samuel Bentolila
Part of the VisitInps program
Our preliminary results have been included in the XXIII Annual Report of the Social Security Institute

Downward workers’ mobility

With Edoardo Accabi and Antonella Trigari
Part of the VisitInps program

The ins and outs of Italian unemployment

With Antonella Trigari

Teaching

Statistical Methods in Econometrics – TA

CEMFI – Master in Economics and Finance (2021, 2022, 2023)

Policy/Opinions

Contacts

CEMFI – C. Casado del Alisal, 5, 28014, Madrid

 

ivanlagrosa [at] gmail [dot] com