DougO
Comments
-
Commodity prices are quite variable year-to-year. NASS (www.ers.usda.gov) reports agriculture sales (2006 sectors 1-13 and 2007 sectors 1-14): 2006: 240,828 millions 2007: 284,844 millions Employme...
-
Each year output per worker goes up. From sector to sector, employment can go up or down. Our data reduction techniques can also change year to year. If you tell me which sector in which data set c...
-
2007 PCE is based on the 2007 NIPA accounts PCE distributed to 440 sectors based on the NIPA-benchmark bridge from the 2002 BEA benchmark. Distribution to the household income classes are based on ...
-
Structural matrices change every year as they are forced to conform to current year US National Income and Product Accounts. This year (2007) there was also a switch from the 1997 benchmark to the ...
-
The Type I multiplier would not include the induced jobs. The interpretation is correct. However, I hate aggregating a model. You can reduce the aggregation bias by only aggregating the 2-digit NA...
-
The industry has never been broken apart by consumer. You can see who consumes the commodity/ies the industry produces by creating the commodity balance sheet for the commodity.
-
Negative other property income means loss of corporate income. National data always comes up negative for this sector. The only thing I can think of is corporate subsidy on crop research.
-
Changing the local purchase coefficient only effects how much of the employment increase is applied to the multipliers, it does not affect the multipliers themselves. Are the vendors the producers...
-
There are couple ways to this; 1) Using IMPLAN I-O accounts to create supply side multipliers. This has to be done outside of the software. There was a US Forest Service PNW Research station paper...
-
Your best bet is to look at the labor income per worker for the affected industries. We do not have data in the model for the distributions of earnings per worker within a single sector.