Conference Agenda
Overview and details of the sessions of this conference.
Please select a date to show only sessions at that day. Please select a single session for detailed view (with abstracts and downloads if available).
Activate "Show Presentations" and enter your name in the search field in order to find your function (s), like presenter, discussant, chair.
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
|
Daily Overview |
| Session | |
|
E06: Disadvantage over the Life Course: Evidence and Measurement Location: Room 106 (Francesinhas 1) | |
    | |
Effects of Disasters and Subsidies on Income Inequality: Evidence from Japan Kyushu University, Japan This paper examines the dynamic effects of natural disasters on income inequality across Japanese municipalities. Using a municipality-level panel from 1999 to 2022, we employ a staggered difference-in-differences framework. We trace changes in the Gini coefficient, P90/P10 ratio, and Theil index following each municipality’s first recorded disaster in our dataset. The estimates reveal a non-monotonic distributional pattern. Two years after the first disaster, all three inequality measures decline significantly, indicating temporary compression. Then there is a rebound in year four and year five. Type-specific estimates suggest different paths across earthquakes, typhoons, and heavy rain or snow. Disaster recovery expenditure rises sharply after disaster exposure and peaks around the second post-disaster year. Nevertheless, regression incorporating recovery expenditure yield inequality estimates that are nearly identical to the baseline results. Overall, disasters generate time-varying distributional adjustments and measured municipal recovery spending does not account for the estimated inequality paths.
| |
