BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//Date iCal//NONSGML kigkonsult.se iCalcreator 2.20.2//
METHOD:PUBLISH
X-WR-CALNAME;VALUE=TEXT:TSE
BEGIN:VTIMEZONE
TZID:Europe/Paris
BEGIN:STANDARD
DTSTART:20231029T030000
TZOFFSETFROM:+0200
TZOFFSETTO:+0100
TZNAME:CET
END:STANDARD
BEGIN:DAYLIGHT
DTSTART:20230326T020000
TZOFFSETFROM:+0100
TZOFFSETTO:+0200
RDATE:20240331T020000
TZNAME:CEST
END:DAYLIGHT
END:VTIMEZONE
BEGIN:VEVENT
UID:calendar.132278.field_date.0@www.tse-fr.eu
DTSTAMP:20260916T193641Z
CREATED:20230719T221001Z
DESCRIPTION:Jason C.Y. Wong (Babson College)\, “Inland Flooding: Estimating
  Damages using the National Water Model”\, Environmental Economics Seminar
 \, Toulouse: TSE\, October 9\, 2023\, 11:00–12:15\, room Auditorium 4.\n\n
 With forecasted increases in heavy precipitation and associated flooding\,
  there is a need to understand the economic impacts of flood events. Even 
 if there is extensive research on the impacts of coastal floods\, we canno
 t directly extrapolate these findings to inland flooding given different a
 menities and type of residents. To date\, analysis of the economic impacts
  of inland flooding at large temporal and spatial scales has been limited 
 by the scarcity of flood damage metrics uncorrelated with socioeconomic ch
 aracteristics of affected places. We combine data from flood duration\, ex
 tension\, and depth derived from NOAA’s National Water Model with flood in
 surance claims and policies\, data on mortgage applications\, and resident
 s’ socioeconomic characteristics to derive three main findings of the econ
 omic impacts of inland flooding. First\, flood duration is a relevant pred
 ictor of flood damage. Characterizing floods based purely on spatial chara
 cteristics (depth\, extension) will likely paint an incomplete picture of 
 inland flooding damage. Second\, inland flood events have a sizable effect
  on housing markets\, notably\, census tracts that experience flooding see
  a decrease in house prices and a decrease in loan-to-income ratios in bot
 h mortgage applications and origination. Third\, conditional on flood char
 acteristics and number of existing policies\, census tracts with higher sh
 ares of Black populations have a lower number of flood insurance claims. U
 nequal protection from insurance can exacerbate post-flood inequality. Our
  findings highlight the economic relevance of flooding impacts away from c
 oastal areas. \nJoint with Ana Varela Varela (LSE) and Tim Foreman (IIASA)
DTSTART;TZID=Europe/Paris:20231009T120000
DTEND;TZID=Europe/Paris:20231009T131500
LAST-MODIFIED:20260113T095129Z
LOCATION:Toulouse: TSE\, October 9\, 2023\, 11:00–12:15\, room Auditorium 4
SUMMARY:Environmental Economics Seminar
URL;TYPE=URI:https://www.tse-fr.eu/seminars/2023-inland-flooding-estimating
 -damages-using-national-water-model
END:VEVENT
END:VCALENDAR
