Calendrier du 20 septembre 2022
Paris Trade Seminar
Du 20/09/2022 de 14:45 à 16:15
Sciences Po, 28 rue des Saints-Pères, 75007 Paris (M° Saint Germain des Prés), SALLE H 405
MIYAUCHI Yuhei (Boston U.)
Spatial Production Networks
écrit avec Costas Arkolakis and Federico Huneeus
Texte intégral
Applied Economics Lunch Seminar
Du 20/09/2022 de 12:30 à 13:30
Salle R1.09, Campus Jourdan
DOMèNECH ARUMí Gerard ()
Measuring Inequality with Cadastral Data: The Reasons Why and Three Applications
I measure and study housing inequality with cadastral data. Cadastral data is ideal for studying inequality due to at least four reasons: (1) relevance of housing as an asset and consumption good throughout the income distribution; (2) homogeneity of the data and replicability across settings; (3) independence of administrative boundaries; and (4) facility to study inequality dynamics from cross-sectional data. I illustrate these advantages through three applications. The first application provides novel estimates of housing inequality in Massachusetts across different levels of aggregation and over time. The second application studies the relationship between local inequality and perceived national-level inequality in Barcelona (Spain) by introducing a novel inequality measure capturing housing disparities in the surroundings of a building. The third application analyzes the long-run consequences of inheritance customs before the French Revolution on housing characteristics in France today. In ongoing and future work, I will produce housing inequality estimates at different aggregations and over time for the rest of the US, Belgium, and Spain. I will publish them on a website for policymakers and inequality researchers to freely use.