12.08.2013 Views

Hawai i's Green Workforce A Baseline Assessment December 2010

Hawai i's Green Workforce A Baseline Assessment December 2010

Hawai i's Green Workforce A Baseline Assessment December 2010

SHOW MORE
SHOW LESS

Create successful ePaper yourself

Turn your PDF publications into a flip-book with our unique Google optimized e-Paper software.

Statistical Sampling<br />

The data presented here is based on a survey<br />

conducted from May to July <strong>2010</strong> of a stratified<br />

random sample of 9,146 worksites drawn from the<br />

Quarterly Census of Employment and Wages (QCEW)<br />

database. The QCEW contains data on approximately<br />

37,674 private <strong>Hawai</strong>‘i worksites that report to the<br />

State’s Unemployment Insurance Division.<br />

To ensure a representative sample, the State<br />

Department of Labor and Industrial Relations (DLIR)<br />

mailed the survey to a stratified random sample of<br />

the QCEW, including all four counties – Honolulu<br />

(O‘ahu), <strong>Hawai</strong>’i, Maui, and Kaua‘i. O‘ahu accounts<br />

for about two-thirds of all QCEW worksites, so the<br />

first level of stratification was by county (Figure 2).<br />

Within each county, a cross-section of employers was<br />

randomly selected such that small (1-9 employees),<br />

medium (10-49 employees) and large worksites (50<br />

or more employees) would be represented. In order<br />

to obtain complete data on worksites with potentially<br />

very large numbers of green employees, all large<br />

worksites were sampled. This decreased the variance<br />

in our random sample of small and medium-sized<br />

worksites, thus increasing the power of the sample.<br />

The sample was further stratified to reflect a crosssection<br />

of industries, including traditional industries<br />

and those thought likely to have a large representation<br />

of green jobs. All 19 private sectors in the North<br />

American Industry Classification System (NAICS, see<br />

inset) were randomly sampled. Public Administration<br />

(NAICS 92) was not sampled, but we plan to include<br />

the public sector in the future.<br />

Survey Response and Estimation<br />

Businesses could respond to the survey via internet,<br />

mail, fax, or telephone within a ten-day period of the<br />

deadline. (Businesses that mailed responses prior<br />

to a ten-day grace period following the deadline are<br />

referred to as Wave 1). Based on this criterion, 2,285<br />

surveys were received, yielding an initial response<br />

rate of 25 percent. An aggressive follow-up strategy<br />

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

What is the NAICS?<br />

The North American Industry Classification System<br />

(NAICS) is a system for classifying establishments<br />

by type of economic activity for statistical purposes.<br />

Its purposes are: (1) to facilitate the collection,<br />

tabulation, presentation, and analysis of data relating<br />

to establishments, and (2) to promote uniformity and<br />

comparability in the presentation and analysis of<br />

statistical data describing the economy.<br />

NAICS is used by federal statistical agencies that<br />

collect or publish data by industry. It is also widely<br />

used by State agencies, trade associations, private<br />

businesses, and other organizations. At the heart of<br />

NAICS is a production-based concept of classification;<br />

that is, NAICS classifies each establishment into a<br />

detailed industry based in the production processes<br />

it uses. The NAICS system provides five levels of<br />

classification on detailed codes that have a maximum<br />

of six digits. The classification levels are Sector,<br />

Subsector, Industry Group, NAICS Industry, and U.S.<br />

Industry.<br />

This report focuses on data analysis at the Sector<br />

(2-digit NAICS) level. Including Government (which<br />

is not included herein), there are 20 Sectors in NAICS.<br />

Source: U.S. Office of Management and Budget, Executive<br />

Office of the President.<br />

was pursued with non-responders, which yielded an<br />

additional 1,723 responses (Wave 2). This brought<br />

the total survey response to 4,008 of the original 9,146<br />

sampled worksites, or a final response rate of 43.8<br />

percent.<br />

Upon examination of the data, non-response bias was<br />

detected between Wave 1 and Wave 2 responders.<br />

To address this bias, a logistic regression was used<br />

to estimate propensity scores for prediction of likely<br />

responders and non-responders within the unsampled<br />

data. In the final estimation procedure, Wave 1<br />

sample weights were increased to estimate the number<br />

of green jobs for likely responders, and likewise,<br />

the weight of Wave 2 sample data was increased to<br />

estimate the number of green jobs for likely nonresponders.<br />

This method yields an unbiased estimate<br />

of total green jobs.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!