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Hawai i's Green Workforce A Baseline Assessment December 2010

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and such that green jobs for each strata in<br />

the universe is estimated with at least 25<br />

percent of the inference resulting from data<br />

from each response category (Wave 1 and<br />

Wave 2).<br />

6) Stratify both sample and universe data on <strong>Green</strong>,<br />

NAICS, County Code, Size, and Responder status.<br />

a. Calculate number of companies per bin for<br />

both sample and universe of data<br />

b. Calculate number of green jobs per bin for<br />

the sample data<br />

7) Calculate weights per bin, w_b, whereby w_b<br />

multiplied by the number of green jobs in the<br />

sample bin will be the best unbiased estimate for<br />

the number of green jobs per universe bin.<br />

8) Apply the method above to all jobs data, including<br />

current jobs, current vacancies, and jobs projected<br />

in 2012.<br />

9) Calculate change in green jobs between <strong>2010</strong> and<br />

2012 per strata as projected green jobs in 2012<br />

minus current green jobs in <strong>2010</strong>.<br />

54 <strong>Hawai</strong>ÿi’s <strong>Green</strong> <strong>Workforce</strong>: A <strong>Baseline</strong> <strong>Assessment</strong>

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