Could you please help me understand how the employment data for Colorado and its counties is derived and how to explain the difference between it and other sets to my clients? Your database indicates there are 3.2 million employees in Colorado. I know your database includes more than CES employment, which is about 2.2 million. Nonemployer data is about 440,000. This difference between your database and commonly used information presents two problems. First, I would like to produce a report measuring the impact of mining on Colorado and some of its counties. I would like for the report to reconcile with a report put together by The National Mining Association, calledThe Economic Contributions of Mining (see attached). The NMA report was produced using Implan data. The problem is employment data in their report does not match known employment levels in the Colorado mining industry. The problem is exacerbated at the county level. I cannot tell the agencies in a rural setting that the model says 800 people work at a mine, when they know there are only 400 employees. On page 5 of the NMA report in Table 6 it states the direct effects of Colorado miners was 12,590 employees. On page 11, Table 10a the report stated the direct effects of coal mine worker employment was 3,910. The QCEW data reports about 5.400 mining workers and 2,200 coal mining workers for the state. This brings me to the second problem, do I not use the model and calculate the impact by hand, using our known employment data. Or should I create an event, plug in the employment data we have, and use the results from that for the report? Thank you.
Please sign in to leave a comment.