Seasonality and Recall in Labor Supply Data in Rural Malawi
<|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 explores (1) labor supply and (2) perceptions and impacts of COVID-19 via 4 quarterly phone surveys in rural Malawi. The sample was chosen randomly from among those that reported cell phone numbers in a previous multi-topic, in person survey in several regions of rural Malawi' . 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" : ["AFRICA","AFRICA SOUTH OF SAHARA","agriculture","COVID-19","labor","MALAWI","off-farm employment","rural areas","seasonality","SOUTHERN AFRICA"]} <|eot_id|>
 Here is the Description of a dataset. Description:'This dataset explores (1) labor supply and (2) perceptions and impacts of COVID-19 via 4 quarterly phone surveys in rural Malawi. The sample was chosen randomly from among those that reported cell phone numbers in a previous multi-topic, in person survey in several regions of rural Malawi' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
This dataset explores (1) labor supply and (2) perceptions and impacts of COVID-19 via 4 quarterly phone surveys in rural Malawi. The sample was chosen randomly from among those that reported cell phone numbers in a previous multi-topic, in person survey in several regions of rural Malawi
AFRICA; AFRICA SOUTH OF SAHARA; agriculture; COVID-19; labor; MALAWI; off-farm employment; rural areas; seasonality; SOUTHERN AFRICA