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, 11:40:18am WEST
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Daily Overview |
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G04: Redistribution, Lifespans, and Social Security Wealth Location: Room 104 (Francesinhas 1) | |
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Income Inequality in a Nordic Welfare State: Finnish Distributional National Accounts 1: Tampere University, Finland; 2: Labour Institute for Economic Research, Labore, Helsinki, Finland We combine detailed administrative and survey data with national accounts to construct a time series of distributional national income estimates for Finland. Our approach extends the Distributional National Accounts (DINA) framework by systematically evaluating how alternative methodological choices shape measured inequality. Rather than aiming to identify a single “true” level of inequality, we emphasize transparency and robustness by presenting a range of plausible estimates derived from extensive sensitivity analyses. Most notably, we analyze how the treatment of retained earnings and allocating education and health care spending affects estimates of income inequality using microdata on these factors. On the distribution of income in Finland, the DINA series show higher levels of income inequality and sharper change in inequality than measures based on fiscal income alone.
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