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Shift/share analysis is a technique sometimes used for forecasting land use, most often for forecasting changes in a set of urban areas or regions.
We have a study area in which employment and population are growing (or declining; the technique works the same way in either case and it saves words to make the growth assumption.) Total employment in our area is e , and that in the ith activity is ei . We have a larger frame reference area, usually the nation, where total employment is E , and that in the ith activity is Ei . The shift-share model says that growth in the study areas ith activity employment is a function of:
- The study areas share of national (or regional) growth.
- The mix change in activities.
- And the shift change of activities toward the study area.
This says that change in employment in the study areas ith activity from time t to time t+n can be measured:
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e_i^{t + n} - e_i^t = share\;change + mix\;change + shift\;change
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or
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e_i^{t + n} - e_i^t = e_i^t \left[ {{{E_{}^{t + n} } \over {E_{}^t }} - 1} \right] + e_i^t \left[ {{{E_i^{t + n} } \over {E_i^t }} - {{E^{t + n} } \over {E^t }}} \right] + e_i^t \left[ {{{e_i^{t + n} } \over {e_i^t }} - {{E_i^{t + n} } \over {E_i^t }}} \right]
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As this brief discussion suggests, shift-share analysis may be viewed as adding explicit considerations to economic base analysis. Economic base analysis asks how an area shares in national growth. Shift-share goes on to look at the changing mix of activities and at whether activities are shifting toward or away from the study area.
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