This book reviews the uses and abuses of microsimulation models--large, complex models that produce estimates of the effects on program costs and who would gain and who would lose from proposed changes in government policies ranging from health care to welfare to taxes. Volume 1 is designed to guide future investment in modeling and analysis capability on the part of government agencies that produce policy estimates. It will inform congressional and executive decision makers about the strengths and weaknesses of models and estimates and will interest social scientists in the potential of microsimulation techniques for basic and applied research as well as policy uses. The book concludes that a "second revolution" is needed to improve the quality of microsimulation and other policy analysis models and the estimates they produce, with a special emphasis on systematic validation of models and communication of validation results to decision makers.

This book reviews the uses and abuses of microsimulation modelsâ€"large, complex models that produce estimates of the effects on program costs and who would gain and who would lose from proposed changes in government policies ranging from health care to welfare to taxes. Volume 1 is designed to guide future investment in modeling and analysis capability on the part of government agencies that produce policy estimates. It will inform congressional and executive decision makers about the strengths and weaknesses of models and estimates and will interest social scientists in the potential of microsimulation techniques for basic and applied research as well as policy uses. The book concludes that a "second revolution" is needed to improve the quality of microsimulation and other policy analysis models and the estimates they produce, with a special emphasis on systematic validation of models and communication of validation results to decision makers.

This volume, second in the series, provides essential background material for policy analysts, researchers, statisticians, and others interested in the application of microsimulation techniques to develop estimates of the costs and population impacts of proposed changes in government policies ranging from welfare to retirement income to health care to taxes. The material spans data inputs to models, design and computer implementation of models, validation of model outputs, and model documentation.

Evidence indicates that actions within four main themes (early child development fair employment and decent work social protection and the living environment) are likely to have the greatest impact on the social determinants of health and health inequities. A systematic search and analysis of recommendations and policy guidelines from intergovernmental organizations and international bodies identified practical policy options for action on social determinants within these four themes. Policy options focused on early childhood education and care; child poverty; investment strategies for an inclusive economy; active labour market programmes; working conditions; social cash transfers; affordable housing; and planning and regulatory mechanisms to improve air quality and mitigate climate change. Applying combinations of these policy options alongside effective governance for health equity should enable WHO European Region Member States to reduce health inequities and synergize efforts to achieve the United Nations Sustainable Development Goals.

The National Agricultural Statistics Service (NASS) is the primary statistical data collection agency within the U.S. Department of Agriculture (USDA). NASS conducts hundreds of surveys each year and prepares reports covering virtually every aspect of U.S. agriculture. Among the small-area estimates produced by NASS are county-level estimates for crops (planted acres, harvested acres, production, and yield by commodity) and for cash rental rates for irrigated cropland, nonirrigated cropland, and permanent pastureland. Key users of these county-level estimates include USDA's Farm Services Agency (FSA) and Risk Management Agency (RMA), which use the estimates as part of their processes for distributing farm subsidies and providing farm insurance, respectively. Improving Crop Estimates by Integrating Multiple Data Sources assesses county-level crop and cash rents estimates, and offers recommendations on methods for integrating data sources to provide more precise county-level estimates of acreage and yield for major crops and of cash rents by land use. This report considers technical issues involved in using the available data sources, such as methods for integrating the data, the assumptions underpinning the use of each source, the robustness of the resulting estimates, and the properties of desirable estimates of uncertainty.

The United States is among the wealthiest nations in the world, but it is far from the healthiest. Although life expectancy and survival rates in the United States have improved dramatically over the past century, Americans live shorter lives and experience more injuries and illnesses than people in other high-income countries. The U.S. health disadvantage cannot be attributed solely to the adverse health status of racial or ethnic minorities or poor people: even highly advantaged Americans are in worse health than their counterparts in other, "peer" countries. In light of the new and growing evidence about the U.S. health disadvantage, the National Institutes of Health asked the National Research Council (NRC) and the Institute of Medicine (IOM) to convene a panel of experts to study the issue. The Panel on Understanding Cross-National Health Differences Among High-Income Countries examined whether the U.S. health disadvantage exists across the life span, considered potential explanations, and assessed the larger implications of the findings. U.S. Health in International Perspective presents detailed evidence on the issue, explores the possible explanations for the shorter and less healthy lives of Americans than those of people in comparable countries, and recommends actions by both government and nongovernment agencies and organizations to address the U.S. health disadvantage.

The Survey of Income and Program Participation (SIPP) is a national, longitudinal household survey conducted by the Census Bureau. SIPP serves as a tool to evaluate the effectiveness of government-sponsored social programs and to analyze the impacts of actual or proposed modifications to those programs. SIPP was designed to fill a need for data that would give policy makers and researchers a much better grasp of how effectively government programs were reaching their target populations, how participation in different programs overlapped, and to what extent and under what circumstances people transitioned into and out of these programs. SIPP was also designed to answer questions about the short-term dynamics of employment, living arrangements, and economic well-being. The Census Bureau has reengineered SIPPâ€"fielding the initial redesigned survey in 2014. This report evaluates the new design compared with the old design. It compares key estimates across the two designs, evaluates the content of the redesigned SIPP and the impact of the new design on respondent burden, and considers content changes for future improvement of SIPP.

Social experimentation randomly assigns individuals or groups to coverage by the policy of interest or a control group and then the groups are compared in terms of outcome. Greenberg (economics, U. of Maryland), Linksz (mathematics, science, and engineering, Community College of Baltimore County), and Mandell (policy sciences, U. of Maryland) seek to assess whether the substantial investment in social experimentation in the United States has resulted in significant public policy changes. After explaining the general concepts behind social experimentation, they analyze five case studies and determine that they are not of decisive importance in state policy making, but they often serve useful purposes of policy formation. Annotation (c)2003 Book News, Inc., Portland, OR (booknews.com).

Economic reasoning has thus far dominated the field of public policy analysis. This new introduction to the field posits that policy analysis should have both a broader interdisciplinary base—including criteria from such fields as political science, sociology, law, and philosophy, as well as economics—and also a broader audience in order to foster democratic debate. To achieve these goals, MacRae and Whittington have organized their textbook around the construction of decision matrices using multiple criteria, exploring the uses of the decision matrix formulation more fully than other texts. They describe how to set up the matrix, fill in cells and combine criteria, and use it as an aid for decision making. They show how ethical assessment of the affects that alternatives have on various parties differs from political analysis, and then they extend the use of the decision matrix to consider alternatives by affected parties, periods of time, or combined factors. The authors also thoughtfully address the role of expert advice in the policy process, widening the scope of the field to describe a complex system for the creation and use of knowledge in a democracy. An extended case study of HIV/AIDS policy follows each chapter (in installments), immediately illustrating the application of the material. The book also contains a glossary. Expert Advice for Policy Choice provides a new basis for graduate education in public policy analysis and can also serve as a text in planning, evaluation research, or public administration. In addition, it will be of interest to students and professionals wishing to aid policy choice who work in such fields as sociology, political science, psychology, public health, and social work.