quasi-experimental shift-share rearch designs
Shift-share designs are quasi-experimental designs ud in economics and social sciences to asss the relative magnitude of different factors that produce change in a dependent variable. They allow rearchers to disaggregate the overall amount of change in a variable into components reflecting changes due to the 捐款献爱心
underlying macro drivers (like population growth or economic trends) and changes due to policy or programmes. In the basic shift-share design, the overall amount of change (or the “shift”) is partitioned between the “location effect” (i.e., the effect of the area's general characteristics, such as its population size) and the “compositional effect” (i.e., the effect of specific group characteristics). The “share” compares the actual change in the dependent variable to the expected change bad on the location effect, providing a measure of the extent to which intervention programs have the power to affect change.
A shift-share design typically begins with a baline survey. This measures the amount of change in the dependent variable that is due to the location effect and compositional effect.
Over time, additional surveys or measurements are taken, to measure the change in the dependent variable due to the policies or programs. By comparing the measurements with the baline, the relative magnitude of the location effect and the compositional effect can be measur合同审批流程
ed.
Shift-share designs are advantageous for public policy evaluation and impact analysis becau of their ability to parate the different effects and identify the areas that respond more to the intervention than the general trend. Additionally, they are relatively simpler and more cost-effective than other methods that can produce a similar analysis.
