The tempest: Short- and long-term consequences of a natural disaster for children׳s development

Deuchert, Eva; Felfe, Christina

doi:10.1016/j.euroecorev.2015.09.004

Cited by 53 publications

(41 citation statements)

References 22 publications

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“…Rosales (2014) shows that Ecuadorian children exposed to the 1997-98 El Niño weather phenomenon during the first semester of pregnancy score significantly lower in cognitive tests five to seven years after the shock. Deuchert and Felfe (2015) find that exposure to a typhoon significantly lowers the grades of schooling completed and IQ test scores among children in the Philippines.…”

Section: Introductionmentioning

confidence: 97%

“…To explore the short-term impact of the 2009/10 shock, we exploit exogenous variation in shock intensity across space, thus employing an approach used by, for instance, Shemyakina (2011) and Deuchert and Felfe (2015). We estimate the following reduced-form model:…”

Section: Dzud Of 2009/10mentioning

confidence: 99%

“…Overall, the 2 One exception is the study by Deuchert and Felfe (2015), which also uses detailed pre-shock controls.…”

Section: Introductionmentioning

confidence: 99%

“…3 To the best of our knowledge, there are only two studies that also use pre-shock information on location (Akresh, Lucchetti and Thirumurthy 2012;Deuchert and Felfe 2015). 4 See Currie (2009) and Almond and Currie (2011) for a review of the empirical economic literature on the impact of earlylife conditions on adult health.…”

Section: Introductionmentioning

confidence: 99%

“…A small number of studies also look at weather shocks experienced later in life, such as at school entry age (Deuchert and Felfe 2015) and during adolescence (Shah and Steinberg forthcoming). In a similar vein, we assess the relative impact of shock exposure during preschool age, primary school age, and secondary school age.…”

Section: Introductionmentioning

confidence: 99%

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The impact of extreme weather events on education

Groppo

Kraehnert

2016

J Popul Econ

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Standard-Nutzungsbedingungen:Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use: Documents in AbstractThis paper analyzes the short-and long-term impact of extreme weather events on educational outcomes in Mongolia. Our focus is on two extremely severe winters that caused mass livestock mortality. We use household panel data with comprehensive retrospective information on households' historic experience with weather shocks. Exposure to the weather shock significantly reduces the likelihood of being enrolled in mandatory school two to three years after the shock. Similarly, it significantly reduces the probability of completing basic education ten to eleven years after the shock. Both effects are driven by children from herding households. Results are robust to measuring shock intensity with district-level livestock mortality and climate data as well as household-level livestock losses. Exposure to weather shocks during preschool age (as opposed to exposure during primary and secondary school age) yields the worst consequences for educational attainment. Overall, the evidence points toward income effects as the channel through which the shock impacts education.

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Section: Introductionmentioning

confidence: 97%

Section: Dzud Of 2009/10mentioning

confidence: 99%

“…Overall, the 2 One exception is the study by Deuchert and Felfe (2015), which also uses detailed pre-shock controls.…”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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The impact of extreme weather events on education

Groppo

Kraehnert

2016

J Popul Econ

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Vulnerability in a Tropical Cyclone Risk Model: Philippines Case Study

Baldwin

Lee

Walsh³

et al. 2022

Preprint

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The authors describe a tropical cyclone risk model for the Philippines, using methods that are open-source and can be straightforwardly generalized to other countries. Wind fields derived from historical observations, as well as those from an environmentally forced tropical cyclone hazard model (using environmental forcing from the recent historical period) are combined with data representing exposed value and vulnerability to determine asset losses. Exposed value is represented by the LitPop dataset, which assumes total asset value is distributed across a country following population density and nightlights data. Vulnerability is assumed to follow a functional form previously proposed by Emanuel, with free parameters chosen by a sensitivity analysis in which simulated and historical reported damages are compared for different parameter values. Use of different vulnerability parameters for the region around Manila yields much better agreement between simulated and actually reported losses than does a single set of parameters for the entire country. Even then, however, the model predicts no losses for a substantial number of historical storms which did in fact produce them, a difference the authors hypothesize is at least in part due to the use of wind speed as the sole metric of TC hazard, omitting explicit representation of flooding due to storm surge and/or rainfall.

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Flood disasters and health among the urban poor

et al. 2022

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Between 1990 and 2008, the share of urban poor in Asia rose by nearly 40%, and it is estimated that during the next 20 years, 95% of the population growth in developing countries will take place in urban areas (Baker, 2012; World Bank, 2020). This growing segment of urban poor faces a higher risk of exposure to natural disasters than both non-poor and rural populations (Winsemius et al., 2018; World Bank, 2020). Especially at risk are people living in slums and informal settlements, 1 estimated at one billion people worldwide ( UN-Habitat, 2016; World Bank, 2020). An absence of adequate urban planning has resulted in the development of these types of settlements in flood and cyclone-prone coastal areas, deemed undesirable for residential purposes (Baker, 2012). They are often characterized by dense and poorly constructed housing with low access to basic amenities and poor drainage (CRED, 2020;UN-Habitat, 2016).When the urban poor experience floods, they face significant economic and health consequences. They may suffer damage to their homes, lose their livelihoods, and have increased exposure to injuries, pathogens and viruses (Ezeh et al., 2017;WHO, 2018). Further, in the absence of timely and effective social safety nets, coping strategies employed in poor households include selling productive assets, reducing meals, or withdrawing children from school to enter the labor market. These can

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The tempest: Short- and long-term consequences of a natural disaster for children׳s development

Cited by 53 publications

References 22 publications

The impact of extreme weather events on education

The impact of extreme weather events on education

Vulnerability in a Tropical Cyclone Risk Model: Philippines Case Study

Flood disasters and health among the urban poor

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