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, 11:40:00am WEST
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Daily Overview |
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E01: Evidence on Income and Wealth Dynamics Location: Room 101 (Francesinhas 1) | |
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Fair Inequality 1: KOF Institute ETH Zurich, Switzerland; CEPR; CESifo; 2: Leiden University; 3: Santa Fe Institute; 4: UCL; CEPR; SFI; 5: University of Massachusetts at Amherst If differences in market labor earnings between members of a population were to be distributed identically to the observed differences between same-sex siblings, how much inequality would remain? Consistent with Rawls' principle of fair equality of opportunity, we provide an answer to this question, the “fair Gini coefficient," which we estimate for 16 medium- and high-income countries, using consistently defined administrative data. And we show that it is a lower bound for the level of inequality produced by an income-generating process in the hypothetical absence of gender and parental advantage. We find that countries with lower market earnings inequality are not distinctively fair; the fair Gini coefficient relative to total inequality differs little across countries, from Sweden to Brazil. We characterize the formal properties of our statistic and six other measures of gender and parental advantage, and provide estimates from our data set. | |
