Calendrier du 22 juin 2023
Travail et économie publique externe
Du 22/06/2023 de 12:30 à 13:30
PSE- 48 boulevard Jourdan, 74014 Paris, salle R1-15
JäGER Simon (MIT)
Worker Representatives
We analyze the selection of worker representatives and their impact on worker outcomes, with a focus on German works councils. These elected representatives, with expansive authorities, represent the workforce. We provide a detailed view of representatives' attributes over more than 40 years, using comprehensive administrative panel and survey data. Unlike most areas where blue-collar workers are usually underrepresented, we find they have been proportionally represented on works councils for four decades. While in the 1970s and 1980s, men with vocational training were heavily overrepresented, we note a progressive convergence, culminating in proportional representation today. Our data dismisses theories of adverse selection, suggesting representatives are positively selected based on earnings and personal traits. They are typically more extroverted, open, less neurotic, and politically left-leaning, with a strong interest in politics. Using event study designs and an instrumental variables strategy, we investigate blue-collar representation effects on worker outcomes. Our findings suggest that electing blue-collar representatives helps shield workers from forced layoffs, and slightly increases wages and apprenticeship training. This aligns with the notion that blue-collar representatives emphasize job security, reflecting blue-collar workers' higher concerns about unemployment risks.
TOM (Théorie, Organisation et Marchés) Lunch Seminar
Du 22/06/2023 de 12:30 à 13:30
Salle R1-16, Campus Jourdan, 75014 Paris
VANSTEENBERGHE Eric (PSE)
*Insurance Supervision under Climate Change: A Leader Detection Method
This paper introduces a novel supervisory tool to enhance resilience in insurance markets faced with climate change uncertainties. I develop a theoretical model simulating an insurance market with non-cooperative insurance experts who set premiums based on subjective risk modeling. I present a supervisory tool that pools expert opinions to identify fast-learning leaders who can accurately classify extreme climate-induced events. This tool addresses the challenge of insurability with a changing climate and helps supervisors anticipate shifts in risk parameters. The robustness and utility of the proposed tool are validated through a series of simulations where it demonstrates superior performance compared to conventional pooling methods.