2012 Q1 v Q2 data

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    IMPLAN Support
    Hi Cathy, So that we can better assist; could you tell us which Utah counties you are using in your analysis. This will help us to replicate your models so as to provide some explanation. Thanks!
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    cathythomas
    Yes, They are Beaver, Garfield, Iron, Kane, and Washington Counties in Utah. Thanks!
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    IMPLAN Support
    Hi Cathy, We are having some trouble replicating your numbers exactly but in any case we would not recommend this sector for general Federal Non-Military spending (Sector 429-Other Federal Government enterprises) Our recommendation would be to go to Activity Options > Import > Institution Spending Pattern and select “Federal Government NonDefense”. Note that the spending pattern includes a payment to payroll so you will want to set the Activity Level to your total expenditure amount, including payroll. If you have a known payroll vs. non-payroll split, you can delete the payroll line item from the spending pattern, set Activity Level to the non-payroll portion only, then run a separate Labor Income Change for the payroll portion, setting that Activity Level to the payroll portion only. Hope this helps.
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    cathythomas
    Okay, thanks. With respect to the large jobs per labor income ratio for sector 429, I built another model using the western states (Arizona,California, Colorado, Idaho, Kansas, Montana, Nebraska, Nevada, New Mexico, North Dakota, Oklahoma, Oregon, South Dakota, Texas, Utah, Washington, Wyoming), and I got jobs/$1MM labor income of 108.62. I also made a national model and I got jobs/$1MM labor income of 105.7. This seems really large to me, so I just wanted to double check it with you guys. Thanks for your help! Cathy
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    IMPLAN Support
    Hi Cathy, Thank you for following up on this issue – your hunch was correct. In the second release the 2012 data, the new employment values somehow did not get transferred for 9 government sectors. Below we have pasted the old and new U.S. values and the ratio between the two, which can be used to update your Employment data for these sectors in other states if you so desire. Some things to keep in mind: 1. This issue affects these 9 sectors only 2. This issue involves Employment only – all Output, Income, etc. figures are correct. 3. This does not affect these sectors’ multipliers except for the direct part of the Employment multipliers. This is because Employment itself does not generate additional impacts – rather, it is the Intermediate Expenditures that generate induced effects and Labor Income that generates induced effects. Employment is merely descriptive. 4. We repeat our suggestion to use the Federal Non-Military spending pattern as the preferred method for your analysis. Sector Number Sector Name Old Employment New Employment Fix Ratio 427 Postal service 561,244 616,203 1.10 428 Federal electric utilities 12,208 12,208 1.00 429 Other Federal Government enterprises 581,715 92,461 0.16 430 State & local government passenger transit 136,508 245,424 1.80 431 State & local government electric utilities 42,890 79,131 1.84 432 Other state & local government enterprises 470,875 801,445 1.70 433 Used & secondh& goods - - 434 Scrap - - 435 Rest of the world adjustment - - 436 Noncomparable imports - - 437 SL Government Non-Education Payroll 7,034,092 8,316,000 1.18 438 SL Government Education Payroll 9,531,304 10,261,000 1.08 439 Federal Non-Military Payroll 1,434,375 1,501,000 1.05 440 Federal Military Payroll 2,095,000 2,281,000 1.09 We sincerely apologize for the inconvenience – please let us know if you have any additional questions or concerns.
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