Higher education is a linchpin of the American economy and society: teaching and research at colleges and universities contribute significantly to the nation's economic activity, both directly and through their impact on future growth; federal and state governments support teaching and research with billions of taxpayers' dollars; and individuals, communities, and the nation gain from the learning and innovation that occur in higher education. In the current environment of increasing tuition and shrinking public funds, a sense of urgency has emerged to better track the performance of colleges and universities in the hope that their costs can be contained without compromising quality or accessibility. Improving Measurement of Productivity in Higher Education presents an analytically well-defined concept of productivity in higher education and recommends empirically valid and operationally practical guidelines for measuring it. In addition to its obvious policy and research value, improved measures of productivity may generate insights that potentially lead to enhanced departmental, institutional, or system educational processes. Improving Measurement of Productivity in Higher Education constructs valid productivity measures to supplement the body of information used to guide resource allocation decisions at the system, state, and national levels and to assist policymakers who must assess investments in higher education against other compelling demands on scarce resources. By portraying the productive process in detail, this report will allow stakeholders to better understand the complexities of-and potential approaches to-measuring institution, system and national-level performance in higher education.

More and more young people are learning about science, technology, engineering, and mathematics (STEM) in a wide variety of afterschool, summer, and informal programs. At the same time, there has been increasing awareness of the value of such programs in sparking, sustaining, and extending interest in and understanding of STEM. To help policy makers, funders and education leaders in both school and out-of-school settings make informed decisions about how to best leverage the educational and learning resources in their community, this report identifies features of productive STEM programs in out-of-school settings. Identifying and Supporting Productive STEM Programs in Out-of-School Settings draws from a wide range of research traditions to illustrate that interest in STEM and deep STEM learning develop across time and settings. The report provides guidance on how to evaluate and sustain programs. This report is a resource for local, state, and federal policy makers seeking to broaden access to multiple, high-quality STEM learning opportunities in their community.

Harvard University has been and continues to be one of the most important global centres for economics. With three chapters on themes in Harvard economics and 41 chapters on the lives and work of Harvard economists, these two volumes show how economics became established at the University, how it produced some of the world’s best-known economists, including Joseph Schumpeter, Wassily Leontief and John Kenneth Galbraith, and how it remains a global force for the very best in teaching and research in economics. With original contributions from a stellar cast, the volumes provide economists – especially those interested in macroeconomics and the history of economic thought – with an in-depth analysis of Harvard economics. Robert A. Cord holds a PhD from the University of Cambridge, and his areas of interest include the history of economic thought and, within this, the history of macroeconomics. His publications include Reinterpreting the Keynesian Revolution (2012), Milton Friedman: Contributions to Economics and Public Policy (co-editor; 2016) and The Palgrave Companion to Chicago Economics (editor; 2022).

The productivity slowdown of the 1970s and 1980s and the resumption of productivity growth in the 1990s have provoked controversy among policymakers and researchers. Economists have been forced to reexamine fundamental questions of measurement technique. Some researchers argue that econometric approaches to productivity measurement usefully address shortcomings of the dominant index number techniques while others maintain that current productivity statistics underreport damage to the environment. In this book, the contributors propose innovative approaches to these issues. The result is a state-of-the-art exposition of contemporary productivity analysis. Charles R. Hulten is professor of economics at the University of Maryland. He has been a senior research associate at the Urban Institute and is chair of the Conference on Research in Income and Wealth of the National Bureau of Economic Research. Michael Harper is chief of the Division of Productivity Research at the Bureau of Labor Statistics. Edwin R. Dean, formerly associate commissioner for Productivity and Technology at the Bureau of Labor Statistics, is adjunct professor of economics at The George Washington University.

"An essential reference for specialists in the economics of technological change."--D. G. McFertridge, Canadian Journal of Economics

Zvi Griliches, a world-renowned pioneer in the field of productivity growth, has compiled in a single volume his pathbreaking research on R&D and productivity. Griliches addresses the relationship between research and development (R&D) and productivity, one of the most complex yet vital issues in today's business world. Using econometric techniques, he establishes this connection and measures its magnitude for firm-, industry-, and economy-level data. Griliches began his studies of productivity growth during the 1950s, adding a variable of "knowledge stock" to traditional production function models, and his work has served as the point of departure for much of the research into R&D and productivity. This collection of essays documents both Griliches's distinguished career as well as the history of this line of thought. As inputs into production increasingly taking the form of "intellectual capital" and new technologies that are not as easily measured as traditional labor and capital, the methods Griliches has refined and applied to R&D become crucial to understanding today's economy.

This volume is not primarily concerned with what students should learn, nor even how they should learn. Rather it concerns how we can discover the best means and conditions for teaching them in school, at home, and in society. Expressed more explicitly, we seek to find out how students can learn efficiently or productively as much as possible within a given amount of time and resources. As in agriculture, medicine, public health, and modern industries, we can turn to rigorous science as one of the best sources for informing ourselves. The intended audiences are not only scholars in a variety of academic disciplines but also research consumers, including educators, policymakers, parents, and citizens who seek principles to critically separate valid from invalid claims for the efficacy and efficiency of education products, personnel, and policies. Initial versions of the chapters were discussed at a national invitational conference sponsored by the Laboratory for Student Success (LSS), the mid-Atlantic regional educational laboratory, at Temple University Center for Research in Human Development and Education. LSS operates under a contract with the U.S. Department of Education’s Institute of Education Sciences.