Shift-share analysis for regional health care policy
This article implements a shift-share model to investigate, describe, and analyze disease death rates in Missouri. Shift share is used because of its ability to codify data sets. Also, this technique is relatively easy to use and to interpret and understand the results. Shift share overcomes the statistical requirements of equal variance and element independence, yet contains a fair degree of analysis of the major causes of changes in death rates. Using vital statistics data on death rates by type of disease, shift-share components of change are estimated that are national (trends), structural (disease weights), and regional (local conditions) in scope. Such results may be useful in understanding national and regional sources of death rate changes, in allocating health care funds, and in targeting specific diseases for special funding.
Hoppes, R. Bradley. "Shift-share analysis for regional health care policy." Journal of Regional Analysis and Policy 27, no. 1100-2016-90081 (1997): 35-46.
Journal of Regional Analysis and Policy