A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Estimating undisclosed earnings data
Abstract A problem with constructing regional economic models from secondary sources is that of undisclosed data. For example, the RIMS II technique for developing nonsurvey input-output models, requires disaggregated industry earnings data. County Business Patterns employment and earnings data are suppressed for industries with few firms or with a dominate firm, requiring that earnings be estimated for some industries. We examine eleven representative methods for estimating undisclosed earnings. A simple earnings ratio technique using more aggregated data from the same state is shown to provide reasonable estimates of industry earnings.
Estimating undisclosed earnings data
Abstract A problem with constructing regional economic models from secondary sources is that of undisclosed data. For example, the RIMS II technique for developing nonsurvey input-output models, requires disaggregated industry earnings data. County Business Patterns employment and earnings data are suppressed for industries with few firms or with a dominate firm, requiring that earnings be estimated for some industries. We examine eleven representative methods for estimating undisclosed earnings. A simple earnings ratio technique using more aggregated data from the same state is shown to provide reasonable estimates of industry earnings.
Estimating undisclosed earnings data
Weddleton, John (author) / Olson, Dennis O. (author)
1988
Article (Journal)
English
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