Partitioning Variance in Regression Analyses for Developing Policy Impact Models: The Case of the Federal Medicaid Program
扩展了回归分析，通过方差分解考察政策变量的二阶及高阶影响，并以联邦医疗补助计划为例，分析差异化联邦匹配率对州及地方人均支出的影响，发现该政策单独无效但与其他因素共同作用时效果有限。
This paper extends the usual regression analysis to include the partition of the variance to examine the possible secondary and higher order impact of policy variables in a policy impact model. The federal Medicaid program is analyzed using the methodology to assess the impact of the policy variable—differential federal matching ratio—on the per capita expenditure from state and local sources. Our result shows that the policy is ineffectual on its own but modestly effective with others when all important factors are considered simultaneously.