Step one: Identifying initial demand” and in demand” categories for each period. “in “not Occupations with average annual growth rates of at least 90 percent of their respective geographic areas (statewide or workforce development area) total average annual growth rates and a share of total openings of at least .08 percent are “in demand.” Occupations with average annual growth rates less than 70 percent of their respective geographic areas total growth rates and a share of total openings of less than 1 percent are in demand.” “not Step two: Identifying provisional occupational categories. If within any of the three projection time frames (five years, ten years and two/ten years), an occupation is categorized as being demand,” it receives a first “in provisional identification of demand.” “in If within any of the three projection time frames, an occupation is categorized as in demand,” it receives a second provisional identification of in demand.” “not “not Step three: Create final projections definitions. If an occupation has only one provisional definition, it equals the final definition. If an occupation has two provisional definitions of demand” and in “in “not demand,” it gets identified as “balanced.” All other occupations, without provisional definitions (i.e., not meeting the thresholds from stage one), are identified as “balanced.” All occupations, at this stage of the process, have definitions of demand,” in “in “not demand” or “balanced.” Step four: Create final adjustment definitions. The projections definitions are now put through an adjustment process, using current labor market supply/demand data which compares online job announcements to information on unemployment insurance (UI) claimants. Adjustments are applied when current supply/demand data significantly contradicts the model-based projections definitions. The adjustment methodology
Step one: Identifying initial “in demand” and “not in demand” categories for each period. Occupations with average annual growth rates of at least 90 percent of their respective geographic areas (statewide or workforce development area) total average annual growth rates and a share of total openings of at least .08 percent are “in demand.” Occupations with average annual growth rates less than 70 percent of their respective geographic areas total growth rates and a share of total openings of less than 1 percent are “not in demand.” Step two: Identifying provisional occupational categories. If within any of the three projection time frames (five years, ten years and two/ten years), an occupation is categorized as being “in demand,” it receives a first provisional identification of “in demand.” If within any of the three projection time frames, an occupation is categorized as “not in demand,” it receives a second provisional identification of “not in demand.” Step three: Create final projections definitions. If an occupation has only one provisional definition, it equals the final definition. If an occupation has two provisional definitions of “in demand” and “not in demand,” it gets identified as “balanced.” All other occupations, without provisional definitions (i.e., not meeting the thresholds from stage one), are identified as “balanced.” All occupations, at this stage of the process, have definitions of “in demand,” “not in demand” or “balanced.” Step four: Create final adjustment definitions. The projections definitions are now put through an adjustment process, using current labor market supply/demand data which compares online job announcements to information on unemployment insurance (UI) claimants. Adjustments are applied when current supply/demand data significantly contradicts the model-based projections definitions. The adjustment methodology
OID_2017_methodology_internet.docx