Discussions

Do the address variables in the BQ occupational wage data reflect headquarters or locations?

For each vehicle in this dataset, there is a variable "INFERREDDATE" which is described as "Inferred Purchase Date Code". According to the data dictionary, the code is something like "A - 0-6 months, B - 7-12 months, etc.". So it is a relative date (how long ago it was purchased, maybe?). Does anyone know how to figure out a reference date? Like how many months ago it was purchased relative to the date the consumer was surveyed? I cannot find a survey date or any other date in this data or the corresponding Consumer Profiles data. To perform my analysis, I need to know at least in which calendar year a vehicle was purchased. Thanks for any advice!

1. I can’t understand what the difference is between these two variables, as they appear to share the same definition. Could you please help clarify?
   WORK_BEHAVIOR_DEVICE_HOME_AREAS - This column is the same as work_hours_device_home_are as but only includes devices that dwelled for at least 6 hours and excludes devices whose visit is in the same gh7 as their home location.
   DEVICE_DAYTIME_AREAS - This column is the same as work_hours_device_home_areas but only includes devices that dwelled for at least 6 hours and excludes devices whose visit is in the same gh7 as their home location.

2. Regarding DISTANCE_FROM_PRIMARY_DAYTIME_LOCATION, does this intend to capture only local trips (i.e. errands) using the “work” location as the base, or, does this capture all trips (including commutes to/from home) utilizing the work location as the base? This is to say, if I am interested in understanding commuting behavior of people based on the location of their employment (not based on the location of their home), does this variable speak to that?

Hi, I have a question regarding the definition of home and work locations in the Veraset data.

Hi,

Hello,