Conference Agenda
Overview and details of the sessions of this conference.
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Some information on the session logistics:
If not stated otherwise, the discussant is the following speaker, with the first speaker being the discussant of the last paper. The last speaker of each session is the session chair. (Exception: invited sessions)
Presenters should speak for no more than 20 minutes, and discussants should limit their remarks to no more than 5 minutes. The remaining time should be reserved for audience questions and the presenter’s responses. We suggest following these guidelines also in the (less common) 3-paper sessions in a 2-hour slot, to allow participants to move between sessions. Discussants are encouraged to avoid summarizing the paper. By focusing on a few questions and comments, the discussants can help start a broader discussion with the audience.
Only registered participants can attend this conference. Further information available on the congress website https://www.iseg.ulisboa.pt/en/event/iipf/ .
Venue address: ISEG - Lisbon School of Economics & Management, R. Francesinhas 21, 1200-675 Lisboa, Portugal
Please note that all times are shown in the time zone of the conference. The current conference time is: 17th Sept 2026, 11:40:23am WEST
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Daily Overview |
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E09: Health Shocks, Health Policies, and Household Behaviour Location: Room 109 (Francesinhas 1) | |
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The Effects of Sick Leave Benefit Generosity on Sickness Absences Tampere University, Finland In this paper, I study the effects of sickness benefit generosity on the number of benefit recipients and the duration of sick leaves in Finland. I exploit policy reforms that introduced variation over time in the generosity of the statutory sickness allowance, as well as collective bargaining agreements (CBAs) that create differences in top-up sick pay across industries, occupations, and employees with varying levels of seniority and experience. I present novel, self-collected data containing agreement-level information on sick pay terms from CBAs and link these data to individual-level administrative registers covering nearly the entire Finnish population. To estimate the elasticities, I apply difference-in-differences, regression kink design, and bunching methods. Preliminary results suggest that the extensive and intensive margin elasticities -capturing the effects of the replacement rate on sick leave incidence and duration- are approximately 0.6 and 0.2, respectively.
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