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 |