Discussions

Dear whom it may concern,

Dear whom it may concern,

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,