PMC:7210464 / 84529-85618 JSONTXT 3 Projects

Annnotations TAB TSV DIC JSON TextAE

Id Subject Object Predicate Lexical cue
T774 0-27 Sentence denotes Table 10 Variables selected
T775 28-80 Sentence denotes Dependent variable: closed management of communities
T776 81-101 Sentence denotes Dew point 1-week lag
T777 102-138 Sentence denotes Diurnal temperature range 1-week lag
T778 139-159 Sentence denotes Dew point 2-week lag
T779 160-189 Sentence denotes Sea-level pressure 2-week lag
T780 190-210 Sentence denotes Dew point 3-week lag
T781 211-232 Sentence denotes Visibility 4-week lag
T782 233-257 Sentence denotes Precipitation 4-week lag
T783 258-305 Sentence denotes Dependent variable: family outdoor restrictions
T784 306-333 Sentence denotes Station pressure 1-week lag
T785 334-412 Sentence denotes Dummy for adverse weather conditions such as fog, rain, and drizzle 1-week lag
T786 413-443 Sentence denotes Maximum temperature 2-week lag
T787 444-473 Sentence denotes Sea-level pressure 2-week lag
T788 474-504 Sentence denotes Average temperature 3-week lag
T789 505-535 Sentence denotes Minimum temperature 3-week lag
T790 536-557 Sentence denotes Visibility 3-week lag
T791 558-633 Sentence denotes This table shows the weather variables selected by lassopack (Ahrens et al.
T792 634-708 Sentence denotes 2019), which implements the Cluster-Lasso method of Belloni et al. (2016).
T793 709-750 Sentence denotes City and date fixed effects are included.
T794 751-1089 Sentence denotes 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