Recent trends in federal policies for social and economic programs have increased the demand for timely, accurate estimates of income and poverty for states, counties, and even smaller areas. Every year more than $130 billion in federal funds is allocated to states and localities through formulas that use such estimates. These funds support a wide range of programs that include child care, community development, education, job training, nutrition, and public health.
A new program of the U.S. Census Bureau is now providing more timely estimates for these programs than those from the decennial census, which have been used for many years. These new estimates are being used to allocate more than $7 billion annually to school districts, through the Title I program that supports educationally disadvantaged children.
But are these estimates as accurate as possible given the available data? How can the statistical models and data that are used to develop the estimates be improved? What should policy makers consider in selecting particular estimates? This new book from the National Research Council provides guidance for improving the Census Bureau's program and for policy makers who use such estimates for allocating funds.
Table of Contents
Front Matter Executive Summary 1 Introduction 2 Needs for Small-Area Income and Poverty Estimates 3 Current SAIPE Models 4 Future Model Develpment: The Role of Surveys 5 Future Model Development: The Role of Administrative Records 6 Using Estimates in Allocation Formulas 7 Recommendations for Producers and Users Appendix: Interactions Between Survey Estimates and Federal Funding Formulas References and Bibliography Biographical Sketches of Panel Members and Staff
