This edited collection explores the links between human capital (both in the form of health and in the form of education), demographic change, and economic growth. Using empirical as well as theoretical perspectives, the authors investigate several important issues in the context of human capital, namely population ageing, inequality, public policy, and long-term economic development. Ultimately, they demonstrate that the accumulation of human capital is of crucial importance to long-run economic growth.

This book provides an in-depth investigation of the link between human capital and economic growth. The authors take an innovative approach, examining the determinants of economic growth through a historical overview of the concept of human capital. The text fosters a deep understanding of the connection between human capital and economic growth through the exploration of different theoretical approaches, a review of the literature, and the application of nonlinear estimation techniques to a comprehensive data set. The authors discuss nonparametric econometric techniques and their application to estimating nonlinearities—which has emerged as one of the most salient features of empirical work in modeling the human capital-growth relationship, and the process of economic growth in general. By delving into the topic from theoretical and empirical standpoints, this book offers an insightful new view that will be extremely useful for scholars, students, and policy makers.

The NBER Macroeconomics Annual presents, extends, and applies pioneering work in macroeconomics and stimulates work by macroeconomists on important policy issues. Each paper in the Annual is followed by comments and discussion.

Human Capital, Trade and Public Policy in Rapidly Growing Economies argues that only two centuries ago, no society had ever enjoyed sustained growth in living standards. The contributors to this book aim to discover why the world today exhibits a predilection for perpetual self-improvement. In particular, the book focuses on the forces underlying long-lasting growth in East Asia's Newly Industrialized Countries (NICs). Drawing from the experiences of Hong Kong, South Korea, Singapore and Taiwan, it questions whether public policy can contribute to removing barriers towards accumulation of wealth, and if so, what development policy should be put in place to remedy the existing distortions or market failure problems.

The last twenty years have witnessed tremendous advances in the mathematical, statistical, and computational tools available to applied macroeconomists. This rapidly evolving field has redefined how researchers test models and validate theories. Yet until now there has been no textbook that unites the latest methods and bridges the divide between theoretical and applied work. Fabio Canova brings together dynamic equilibrium theory, data analysis, and advanced econometric and computational methods to provide the first comprehensive set of techniques for use by academic economists as well as professional macroeconomists in banking and finance, industry, and government. This graduate-level textbook is for readers knowledgeable in modern macroeconomic theory, econometrics, and computational programming using RATS, MATLAB, or Gauss. Inevitably a modern treatment of such a complex topic requires a quantitative perspective, a solid dynamic theory background, and the development of empirical and numerical methods--which is where Canova's book differs from typical graduate textbooks in macroeconomics and econometrics. Rather than list a series of estimators and their properties, Canova starts from a class of DSGE models, finds an approximate linear representation for the decision rules, and describes methods needed to estimate their parameters, examining their fit to the data. The book is complete with numerous examples and exercises. Today's economic analysts need a strong foundation in both theory and application. Methods for Applied Macroeconomic Research offers the essential tools for the next generation of macroeconomists.