Shift-share analysis

A shift-share analysis attempts to identify the sources of regional economic changes. The region can be a town, city, country, statistical area, state, or any other region of the country. The analysis examines changes in an economic variable, such as migration, a demographic statistic, firm growth, or firm formations, although employment is most commonly used. The shift-share analysis is performed on a set of economic industries, like those defined by the North American Industry Classification System (NAICS). The analysis separates the regional economic changes within each industry into different categories. Although there are different versions of a shift-share analysis, they all identify national, industry, and regional factors that influence the variable changes. == Traditional model ==

The traditional form of the shift-share analysis was developed by Daniel Creamer in the early 1940s, and was later formalized by Edgar S. Dunn in 1960. • National growth effect is the portion of the change attributed to the total growth of the national economy. It equals the theoretical change in the regional variable had it increased by the same percentage as the national economy. • Industry mix effect is the portion of the change attributed to the performance of the specific economic industry. It equals the theoretical change in the regional variable had it increased by the same percentage as the industry nationwide, minus the national growth effect. • Local share effect is the portion of the change attributed to regional influences, and is the component of primary concern to regional analysts. : e_i^{t+n} - e_i^t = NS_i + IM_i + RS_i The beginning and ending values of the economic variable within a particular industry are and , respectively. Each of the three effects is defined as a percentage of the beginning value of the economic variable. Industry mix effect may be referred to as proportional shift. In most shift-share analyses, the regional economy is compared to the national economy. However, the techniques may be used to compare any two regions (e.g., comparing a county to its state). == Dynamic model ==

In 1988, Richard Barff and Prentice Knight, III, published the dynamic model shift-share analysis. In contrast to the comparative static model, which only considers two years in its analysis (the beginning and ending years), the dynamic model utilizes every year in the study period. Although it requires much more data to perform the calculations, the dynamic model takes into account continuous changes in the three shift-share effects, so the results are less affected by the choice of starting and ending years. The dynamic model is most useful when there are large differences between regional and national growth rates, or large changes in the regional industrial mix. The dynamic model uses the same techniques as the comparative static model, including the same three shift-share effects. However, in the dynamic model, a time-series of traditional shift-share calculations are performed, comparing each year to the previous year. The annual shift-share effects are then totaled together for the entire study period, resulting in the dynamic model's shift-share effects. Formula The regional change in the variable within industry between the two years and is defined as the sum of the three shift-share effects: national growth effect (), industry mix effect (), and local share effect (). : e_i^{t+n} - e_i^t = NS_i + IM_i + RS_i If the study period ranges from year to year , then traditional shift-share effects are calculated for every year , where spans from to . The dynamic model shift-share effects are then calculated as the sum of the annual effects. : NS_i = \sum_{k=t+1}^{t+n} \left[ e_i^{k-1} \left( G^k \right) \right] : IM_i = \sum_{k=t+1}^{t+n} \left[ e_i^{k-1} \left( G_i^k - G^k \right) \right] : RS_i = \sum_{k=t+1}^{t+n} \left[ e_i^{k-1} \left( g_i^k - G_i^k \right) \right] The growth rates used in the calculations are annual rates, not growth from the beginning year in the study period, so the percent change from year to in the economic variable nationwide for all industries combined is , while the national and regional industry-specific percent changes are and , respectively. == Esteban-Marquillas Model ==

In 1972, J.M. Esteban-Marquillas extended the traditional model to address criticism that the regional share effect is correlated to the regional industrial mix. In the Esteban-Marquillas model, the regional share effect itself is decomposed into two components, isolating a regional shift component that is not correlated to the industrial mix. The model introduced a then-new concept to shift-share analyses, a homothetic level of the economic variable within an industry. This is the theoretical value of the variable within an industry assuming the region has the same industrial mix as the nation. In the Esteban-Marquillas model, the calculations of the national share and industrial mix effects are unchanged. However, the regional share effect in the traditional model is separated into two effects: a new regional share effect that is not dependent on the industrial mix, and an allocation effect that is. The allocation effect indicates the extent to which the region is specialized in those industries where it enjoys a competitive advantage. Formula The regional change in the variable within industry between the two years and is defined as the sum of the four shift-share effects: national growth effect (), industry mix effect (), regional share effect (), and allocation effect (). : e_i^{t+n} - e_i^t = NS_i + IM_i + RS_i + AL_i The beginning and ending values of the economic variable within a particular industry are and , respectively. The beginning value of the regional homothetic variable within a particular industry is . It is based on the regional and national values of the economic variable across all industries, and respectively, and the industry-specific national value . : h_i^t = e^t \times { E_i^t \over E^t } Each of the four shift-share effects is defined as a percentage of either the beginning value of the economic variable, the homothetic variable, or the difference of the two. : NS_i = e_i^t \left( G \right) : IM_i = e_i^t \left( G_i-G \right) : RS_i = h_i^t \left( g_i-G_i \right) : AL_i = \left( e_i^t-h_i^t \right) \left( g_i-G_i \right) The total percent change in the economic variable nationwide for all industries combined is , while the national and regional industry-specific percent changes are and , respectively. == Arcelus Model ==

In 1984, Francisco Arcelus built upon Esteban-Marquillas' use of the homothetic variables and extended the traditional model even further. He used this method to decompose the national share and industrial mix effects into expected and differential components. The expected component is based on the homothetic level of the variable, and is the effect not attributed to the regional specializations. The differential component is the remaining effect, which is attributable to the regional industrial mix. Arcelus claimed that, even with the Esteban-Marquillas extension, the regional share effect is still related to the regional industry mix, and that the static model assumes all regional industries operate on a national market basis, focusing too heavily on the export markets and ignoring the local markets. In order to address these issues, Arcelus used a different method for separating the regional share effect, resulting in a regional growth effect and a regional industry mix effect. Both of these are decomposed into expected and differential components using the homothetic variable. Formula The regional change in the variable within industry between the two years and is defined as the sum of the eight shift-share effects: expected national growth effect (), differential national growth effect (), expected industry mix effect (), differential industry mix effect (), expected regional growth effect (), differential regional growth effect (), expected regional industry mix effect (), and differential regional industry mix effect (). : e_i^{t+n} - e_i^t = NSE_i + NSD_i + IME_i + IMD_i + RGE_i + RGD_i + RIE_i + RID_i The eight effects are related to the three traditional shift-share effects from the comparative static model. : NS_i = NSE_i + NSD_i : IM_i = IME_i + IMD_i : RS_i = RGE_i + RGD_i + RIE_i + RID_i The homothetic variable is calculated the same as in the Esteban-Marquillas model. The beginning value of the regional homothetic variable within a particular industry is . It is based on the regional and national values of the economic variable across all industries, and respectively, and the industry-specific national value . : h_i^t = e^t \times { E_i^t \over E^t } Each of the eight shift-share effects is defined as a percentage of either the beginning value of the economic variable, the homothetic variable, or the difference of the two. : NSE_i = h_i^t \times G : NSD_i = \left( e_i^t - h_i^t \right) \times G : IME_i = h_i^t \times \left( G_i - G \right) : IMD_i = \left( e_i^t - h_i^t \right) \times \left( G_i - G \right) : RGE_i = h_i^t \times \left( g - G \right) : RGD_i = \left( e_i^t - h_i^t \right) \times \left( g - G \right) : RIE_i = h_i^t \times \left( g_i - g - G_i + G \right) : RID_i = \left( e_i^t - h_i^t \right) \times \left( g_i - g - G_i + G \right) The total percent changes in the economic variable nationally and regionally for all industries combined are and respectively, while the national and regional industry-specific percent changes are and , respectively. ==Further reading==