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Journal Article
Demography (2025) 62 (1): 61–85.
Published: 01 February 2025
...Ethan J. Raker Abstract Climate change and population settlement patterns are altering the severity and spatial dimensions of flooding. Despite associational evidence linking flood exposure to population health in the United States, few studies have used counterfactual strategies to address...
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View articletitled, <span class="search-highlight">Flooding</span>, Sociospatial Risk, and Population Health
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for article titled, <span class="search-highlight">Flooding</span>, Sociospatial Risk, and Population Health
Includes: Supplementary data
Journal Article
Demography (2024) 61 (1): 209–230.
Published: 01 February 2024
...Valerie Mueller; Mathew Hauer; Glenn Sheriff Abstract Sea-level rise is likely to worsen the impacts of hurricanes, storm surges, and tidal flooding on coastal access to basic services. We investigate the historical impact of tidal flooding on mortality rates of the elderly population in coastal...
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View articletitled, Sunny-Day <span class="search-highlight">Flooding</span> and Mortality Risk in Coastal Florida
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for article titled, Sunny-Day <span class="search-highlight">Flooding</span> and Mortality Risk in Coastal Florida
Includes: Supplementary data
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Published: 16 August 2016
Fig. 2 Predicted impacts of F1+ hurricane and flooding over three years
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Published: 16 August 2016
Fig. 3 Predicted impacts of F1+ hurricane and flooding over three years: Low-poverty and high-poverty counties
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Published: 01 February 2024
Fig. 2 Mortality effects of tidal flooding by travel time to the nearest hospital (with 95% confidence intervals)
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Published: 01 February 2025
Fig. 1 The construction of flooded and floodplain treatment and control groups. Panels b and d display the coding of severely flooded (treatment) and high-coverage floodplains (third difference). Source: Data are compiled and aggregated from various sources, including FEMA floodplain data
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Published: 01 February 2024
Fig. 1 Spatial distribution of the mortality rate of elderly individuals and flooding depth
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Journal Article
Demography (2013) 50 (5): 1845–1871.
Published: 26 April 2013
...Ahmed Mushfiq Mobarak; Randall Kuhn; Christina Peters Abstract This paper uses a wealth shock from the construction of a flood protection embankment in rural Bangladesh coupled with data on the universe of all 52,000 marriage decisions between 1982 and 1996 to examine changes in marital prospects...
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View articletitled, Consanguinity and Other Marriage Market Effects of a Wealth Shock in Bangladesh
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for article titled, Consanguinity and Other Marriage Market Effects of a Wealth Shock in Bangladesh
Includes: Supplementary data
Journal Article
Demography (1996) 33 (2): 265–275.
Published: 01 May 1996
...Stanley K. Smith; Christopher McCarty Abstract Many studies have considered the economic, social, and psychological effects of hurricanes, earthquakes, floods, tornadoes, and other natural disasters, but few have considered their demographic effects. In this paper we describe and evaluate a method...
Journal Article
Demography (2014) 51 (4): 1501–1525.
Published: 06 June 2014
... that children exposed to hurricanes prenatally have lower scores on third grade standardized tests in math and reading. Those exposed to flooding or tornadoes also have somewhat lower math scores. Additionally, results suggest that these negative effects are more concentrated among children in disadvantaged...
View articletitled, The Effect of Prenatal Natural Disaster Exposure on School Outcomes
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for article titled, The Effect of Prenatal Natural Disaster Exposure on School Outcomes
Includes: Supplementary data
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Published: 28 October 2015
Fig. 12 Median wages for persons aged 25–29, 1940–2013. Sources: Ruggles et al. ( 2015 ) and Flood et al. ( 2015 )
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Published: 28 October 2015
Fig. 15 Number of men age 15 to 29 as a percentage of the number of men age 30–64. Sources: Ruggles et al. ( 2015 ) and Flood et al. ( 2015 )
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Published: 28 October 2015
Fig. 14 Median income as a percentage of the income of the top 1 %: U.S. men aged 25–29, 1940–2013. Sources: Ruggles et al. ( 2015 ), Flood et al. ( 2015 ), and Alvaredo et al. ( 2015 )
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Published: 01 February 2025
Fig. 3 IPTW-weighted descriptive statistics for the DiD models, balanced on observable select sociodemographic characteristics. Treat = flooded treatment group; Control = flood control group. Post-Harvey, Treat N = 750 and Control N = 2,048; Pre-Harvey, Treat N = 680 and Control N = 1,860
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Published: 28 October 2015
Fig. 13 Median income as a percentage of median income in the previous generation (30 years previously): U.S. men aged 25–29, 1945–2013. Sources: Ruggles et al. ( 2015 ), Flood et al. ( 2015 ), and Alvaredo et al. ( 2015 )
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Published: 28 October 2015
Fig. 9 Labor force participation and attitudes toward labor force participation for married women under age 45: United States, 1930–2013. Sources: Ruggles et al. ( 2015 ), Flood et al. ( 2015 ), Westoff and Ryder ( n.d. ), and Smith et al. ( 2013 )
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Journal Article
Demography (2016) 53 (5): 1511–1534.
Published: 16 August 2016
...Fig. 2 Predicted impacts of F1+ hurricane and flooding over three years ...
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Journal Article
Demography (2020) 57 (2): 475–500.
Published: 17 March 2020
...Katie R. Genadek; Sarah M. Flood; Joan Garcia Roman Abstract This study examines and compares shared time for same-sex and different-sex coresident couples using large, nationally representative data from the 2003–2016 American Time Use Survey (ATUS). We compare the total time that same-sex couples...
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Published: 01 February 2025
Fig. 2 Placebo DiD estimates for the probability of distress and fair/poor self-reported health. The DiD estimates of the effect of living in a severely flooded community and 95% confidence intervals (CI) are from a series of placebo “Harvey” events from June 8 to August 25, 2017. Controls
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Journal Article
Demography (2015) 52 (6): 1797–1823.
Published: 28 October 2015
...Fig. 12 Median wages for persons aged 25–29, 1940–2013. Sources: Ruggles et al. ( 2015 ) and Flood et al. ( 2015 ) ...
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