PMC:7210464 / 85087-85618 JSONTXT

{"project":"LitCovid-sentences","denotations":[{"id":"T791","span":{"begin":0,"end":75},"obj":"Sentence"},{"id":"T792","span":{"begin":76,"end":150},"obj":"Sentence"},{"id":"T793","span":{"begin":151,"end":192},"obj":"Sentence"},{"id":"T794","span":{"begin":193,"end":531},"obj":"Sentence"}],"namespaces":[{"prefix":"_base","uri":"http://pubannotation.org/ontology/tao.owl#"}],"text":"This table shows the weather variables selected by lassopack (Ahrens et al. 2019), which implements the Cluster-Lasso method of Belloni et al. (2016). City and date fixed effects are included. Candidate variables include weekly averages of daily mean temperature, maximum temperature, minimum temperature, dew point, station-level pressure, sea-level pressure, visibility, wind speed, maximum wind speed, snow depth, precipitation, dummy for adverse weather conditions, squared terms of these variables, and interactions among them"}