COVID-19 Impact on Rural Men and Women in Nepal, Round 2
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Nepal. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 490 women and 200 male farmers randomly drawn from a pre-listing exercise done for a previous household survey in 2020. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact o' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["ASIA","COVID-19","health","men","NEPAL","rural areas","shock","SOUTH ASIA","women"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Nepal. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 490 women and 200 male farmers randomly drawn from a pre-listing exercise done for a previous household survey in 2020. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact o' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset is the result of a phone survey set up to measure the impact of COVID-19 on rural people in Nepal. As most governments have urged the population to stay at home to slow down the transmission of the disease, the impact of COVID-19 can affect women and men in different ways: as an income shock (directly or indirectly); as a health and caring shock; as a shock of mobility (affecting access to water, food, firewood, schooling); and as a risk of increased domestic conflict and violence. To capture these various effects on household welfare, this phone survey was conducted with (around) 490 women and 200 male farmers randomly drawn from a pre-listing exercise done for a previous household survey in 2020. The same individuals were also interviewed during other rounds to generate a longitudinal panel allowing to analyze the impact o
ASIA; COVID-19; health; men; NEPAL; rural areas; shock; SOUTH ASIA; women