This paper investigates the impact of a devastating weather shock on child anthropometrics, using data from Mongolia. We employ a diff-in-diff strategy to identify the effect of an extremely harsh winter in 2010, which caused the death of about 20 percent of the national livestock. Results...

We provide new evidence on the impact of one severe weather shock on child height in Mongolia. Our focus is on the extremely harsh winter - locally referred to as dzud - of 2009/10, which caused more than 23 percent of the national livestock to perish. This resulted in a food insecurity...

We provide new evidence on the impact of one severe weather shock on child height in Mongolia. Our focus is on the extremely harsh winter - locally referred to as dzud - of 2009/10, which caused more than 23 percent of the national livestock to perish. This resulted in a food insecurity...

This 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...

As climate change progresses, extreme weather events are occurring more often, with developing countries suffering the brunt. Using Mongolia as an example, this study examines how extremely cold and snowy winters-which lead to high livestock mortality and thus threaten the livelihood of many...

This 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...

Anticipatory humanitarian assistance is a novel approach to aid in the context of weather disasters, drawing on meteorological forecasts. Using a randomized study design, we analyze the impact of anticipatory cash transfers distributed to pastoralist households in Mongolia during an extreme...