0
$\begingroup$

I have two monthly series - number of people employed and number of people unemployed.

Both the series are not seasonal candidates, i.e., they don't have seasonality.

I also have access to these two series at the weekly level. Then should I just assume that if a series is not a seasonal candidate at the monthly level, then it won't be a seasonal candidate at the weekly level?

$\endgroup$
2
  • $\begingroup$ Were these time series deseasonalized in advance? Often this kind of data comes from instance that deseasonalize the time series themselves. $\endgroup$
    – Ruben
    Commented Jul 24, 2020 at 8:04
  • $\begingroup$ No, these series are not seasonally adjusted. These series contain only raw data obtained through a household survey. $\endgroup$
    – MM01
    Commented Jul 25, 2020 at 9:05

1 Answer 1

2
$\begingroup$

A lack of seasonality at the monthly level need not imply a lack of seasonality at the weekly level. Layoffs may tend to happen at the beginning of the month after missing the prior month's targets. The BLS paper here discusses handling weekly seasonality even after adjusting for monthly seasonality.

$\endgroup$

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.