Viewing Spatial Consequences of Budgetary Policy Changes

Abstract

While the research community is often very concerned with the distributional effect of public policy decisions, the geographic distribution of the affected populations is often overlooked. This paper argues that seemingly geographically neutral policies have spatial consequences and that the choice of how to measure them is important. We suggest that maps provide a powerful tool for communicating these ideas to policy makers and that geographical information systems supplemented by spatial statistics yield information that assist policy debates. We develop metrics to illustrate how geographic information provides insights into the spatial consequences of Medicaid expenditure changes in Ohio.