Florian Oswald

Florian Oswald

Associate Professor of Economics

University of Turin ESOMAS

SciencesPo Paris (on leave)

Hello!

I am an Associate Professor of Economics in the ESOMAS department of the University of Turin. My work is in the fields of Urban, Macro and IO, and I am insterested in associated computational methods. I am the Data Editor for The Economic Journal and for the The Econometrics Journal.

Download my CV .

Interests
  • Urban/Macro/Labour/IO
  • Computational Methods
  • Reproducible Research
Education
  • PhD in Economics, 2015

    UCL

Working Papers

(2024). Structural Change, Landuse and Urban Expansion. conditionally accepted @ REStud.

PDF Cite Slides Appendix A Appendix B Short Slides

(2023). Spatial Rents, Garage Location, and Competition in the London Bus Market. SciencesPo Working Paper.

PDF Cite Slides

Projects

Invisible Ties, Internal Flights: the Influence  of Non-cohabiting Family on Migration Decisions
Invisible Ties, Internal Flights: the Influence of Non-cohabiting Family on Migration Decisions

Every year, about 1 in 20 Americans move across cities. Extensive research has highlighted relevant frictions in geographic mobility, indicating constraints on individuals’ ability to maximize professional, educational, or investment opportunities. While many migration decisions are driven by financial incentives, a notable proportion are influenced by family-related reasons. Crucially, some beneficial relocations might not occur due to preferences for staying close to relatives. Thus, family structures can either impede mobility, by adding to the costs of moving, or boost gross migration flows, as people relocate to be nearer to extended family members. Our paper is the first to estimate the value of living close to non-cohabiting family members — including parents, adult children, and siblings — and to discuss how much of the reluctance to move can be attributed to such preferences. Our analysis hinges on two primary data sources: the Panel Study of Income Dynamics (PSID), which tracks extended families and records their labor history, wealth, and expenditures, and confidential IRS tax data with intergenerational family linkages, providing a nationally representative longitudinal dataset. We empirically document that familial motives play a pivotal role in understanding frictions in geographic mobility and in decoding migration behaviors. Subsequently, we employ a detailed structural model to ascertain the familial component of moving expenses, which we find to be substantial. Furthermore, our findings indicate that alongside shifts in the geographical spread of job opportunities, alterations in family structures significantly contribute to the secular decline in migration trends.

Skills

R

100%

julia

100%

C++

80%

fortran

80%

Econometrics

100%

Python

80%

PostgreSQL

50%