Seconding the great insight comment. This was actually a listener question on Moody’s Inside Economics podcast too— how much can we look at UI claims and payroll data when there’s an element of involuntary part time work that has been bolstered by easy to use apps like DoorDash or Uber?
Great insight; I'm adding this to my "unlikely indicators" dashboard I've been working on. It does look like that there are seasonal increases in most of the time series, however, possibly as people take on more readily available part-time work surrounding increased retail activity...?
Seconding the great insight comment. This was actually a listener question on Moody’s Inside Economics podcast too— how much can we look at UI claims and payroll data when there’s an element of involuntary part time work that has been bolstered by easy to use apps like DoorDash or Uber?
Great insight; I'm adding this to my "unlikely indicators" dashboard I've been working on. It does look like that there are seasonal increases in most of the time series, however, possibly as people take on more readily available part-time work surrounding increased retail activity...?