Initial unemployment claims (user search)
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  Initial unemployment claims (search mode)
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Author Topic: Initial unemployment claims  (Read 767 times)
phk
phknrocket1k
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Posts: 12,906


Political Matrix
E: 1.42, S: -1.22

« on: July 09, 2010, 03:15:07 PM »
« edited: July 09, 2010, 05:59:45 PM by phknrocket1k »

what is seasonal adjustment?  I've always been curious about that.  How do you get t0 454000 from 463500?  Is there a formula saying that since a X people generally want to be employed in the summer, compared to Y in the other months, then we need to multiply the actual jobless rate by Y/X to compare?  Something like that?

With respect to a hypothetical time series the underlying seasonality is either additive or multiplicative. Like sales increase by 40% in November is multiplicative or an extra 50 units are sold in December is additive.

You have to employ a seasonal smoothing parameter δ.

Additive model:
Forecast = St + It-p

Multiplicative model:
Forecast = St*It-p

St stands for the (simple) exponentially smoothed value of the series at time t, and It-p stands for the smoothed seasonal factor at time t minus p (the length of the season). This is to control for seasonality whether it be multiplicative or additive.

S if one was to generate an forecast you can enhance it by adding or multiplying the simple smoothed value by the predicted seasonal component. This seasonal component is derived analogous to the St value from simple exponential smoothing as:

Additive model:
It = It-p + δ*(1-α)*et

Multiplicative model:
It = It-p + δ*(1-α)*et/St

Here is a good example of seasonality in a time series for unemployment.
http://www.google.com/publicdata?ds=usunemployment&met=unemployment_rate&idim=county:CN060190&dl=en&hl=en&q=fresno+county+unemployment+rate
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phk
phknrocket1k
Atlas Icon
*****
Posts: 12,906


Political Matrix
E: 1.42, S: -1.22

« Reply #1 on: July 10, 2010, 02:39:06 AM »

I've always assumed when they say initial unemployment claims and the state/national rates are seasonally adjusted, it meant for agricultural jobs. About 2-4 months after the monthly numbers are released, they are sometimes changed (adjusted). This seems dishonest to me.

The minimum wage for agricultural workers has always been lower than for all other workers. For such a small percentage of the workforce it sure manages to stand out.

If you are talking about the example I gave for Fresno. Ag is actually a big employer, close to 1 in 3 jobs depend on it.
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phk
phknrocket1k
Atlas Icon
*****
Posts: 12,906


Political Matrix
E: 1.42, S: -1.22

« Reply #2 on: July 11, 2010, 09:40:46 PM »

I've always assumed when they say initial unemployment claims and the state/national rates are seasonally adjusted, it meant for agricultural jobs. About 2-4 months after the monthly numbers are released, they are sometimes changed (adjusted). This seems dishonest to me.

The minimum wage for agricultural workers has always been lower than for all other workers. For such a small percentage of the workforce it sure manages to stand out.

If you are talking about the example I gave for Fresno. Ag is actually a big employer, close to 1 in 3 jobs depend on it.

And in Michigan perhaps 1 in 3 jobs depend on the Auto Industry but you don't see the Government  adjusting the numbers to account for seasonal variations in Autos. My point is that of all the industries in this country, Agriculture has always been treated completely different than all other sectors.

I think with respect to Autos. You can always manufacture them, their production does not relate to weather, unless there is something I do not know.

But for agriculture certain crops can only, very strict on the only, be harvested in a particular part of the year.
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phk
phknrocket1k
Atlas Icon
*****
Posts: 12,906


Political Matrix
E: 1.42, S: -1.22

« Reply #3 on: July 13, 2010, 03:29:36 PM »

http://www.google.com/publicdata?ds=usunemployment&ctype=l&strail=false&nselm=h&met_y=unemployment_rate&scale_y=lin&ind_y=false&rdim=state&idim=county:CN261630&tdim=true&tstart=631152000000&tunit=M&tlen=244&hl=en&dl=en

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