Gang Gong – författare

This is a book on stochastic dynamic macroeconomics from a Keynesian perspective. It shows that including Keynesian features in intertemporal models considerably contributes to resolve major puzzles arising in the context of the Dynamic General Equilibrium (DGE) model. It also demonstrates that including microeconomic intertemporal behavior of economic agents in macroeconomics is not inconsistent with Keynesian economics.

This is a book on stochastic dynamic macroeconomics from a Keynesian perpective. It shows that including Keynesian features in intertemporal models considerably contributes to resolve major puzzles arising in the context of the Dynamic General Equilibrium (DGE) model. It also demonstrates that including microeconomic intertemporal behavior of economic agents in macroeconomics is not inconsistent with Keynesian economics. Whereas the first two parts of the book are technically and empirically oriented by elaborating on solution and estimation methods to bring dynamic macroeconomic theory closer to the time series data, the part three of the book uses those tools and addresses major issues in contemporary dynamic macroeconomics. In pursuing those issues the book stresses--as in the New Keynesian literature--nominal and real rigidities. Yet, beyond the latter type of literature--and in contrast to the DGE model --the here presented modeling approach admits open ended dynamics and multiple equilibria, more realistic asset market features, nonclearing labor market, and explores the role of both demand and technology shocks on employment. Central for those results is a new methodological idea pertaining to adaptive optimization where agents can reoptimize once they have perceived and learned about market constraints. Overall, the book is self-contained by including the appropriate solution and estimation methods which brings the theory closer to the time series data. It contains a modern treatment of dynamic macroeconomics for first and second year graduate students.

This is a book on stochastic dynamic macroeconomics from a Keynesian perspective. It shows that including Keynesian features in intertemporal models considerably contributes to resolve major puzzles arising in the context of the Dynamic General Equilibrium (DGE) model. It also demonstrates that including microeconomic intertemporal behavior of economic agents in macroeconomics is not inconsistent with Keynesian economics.

The Chinese economy has been regarded as one of the most dazzling phenomena in the current world economy. A systematic, objective and academic analysis on the contemporary Chinese economy, however, is still lacking. This book, written by an excellent native Chinese scholar, fills this void in many respects lucidly. The book gives a systematic analysis on the modern Chinese economy since China's economic reform and its opening-up in 1978. It also includes analytical comparisons on differences between China and the West and illustrates how these differences in terms of economic structure, financial and administrative system, the governance of the economy attributed to the growth and economic performance of China. The book also provides a deep economic analysis on China's future difficulties and challenges in development. The book provides a strategic consideration on how China should meet with these challenges and difficulties. Since China is an example of successful rise of a developing nation in the current world, this book is an innovative contribution to academics in the field of macroeconomics for developing economies. The book illustrates the success from a new perspective. This book makes an excellent choice as a textbook for related courses on Chinese economy in universities. It also serves as an excellent reference for understanding and researching on contemporary Chinese economy.

In economics, the emergence of New Growth Theory in recent decades has directed attention to an old and important problem: what are the forces of economic growth and how can public policy enhance them? This book examines major forces of growth--including spillover effects and externalities, education and formation of human capital, knowledge creation through deliberate research efforts, and public infrastructure investment. Unique in emphasizing the importance of different forces for particular stages of development, it offers wide-ranging policy implications in the process. The authors critically examine recently developed endogenous growth models, study the dynamic implications of modified models, and test the models empirically with modern time series methods that avoid the perils of heterogeneity in cross-country studies. Their empirical analyses, undertaken with newly constructed time series data for the United States and some core countries of the Euro zone, show that models containing scale effects, such as the R&D model and the human capital model, are compatible with time series evidence only after considerable modifications and nonlinearities are introduced.They also explore the relationship between growth and inequality, with particular focus on technological change and income disparity. The Forces of Economic Growth represents a comprehensive and up-to-date empirical time series perspective on the New Growth Theory.

In economics, the emergence of New Growth Theory in recent decades has directed attention to an old and important problem: what are the forces of economic growth and how can public policy enhance them? This book examines major forces of growth--including spillover effects and externalities, education and formation of human capital, knowledge creation through deliberate research efforts, and public infrastructure investment. Unique in emphasizing the importance of different forces for particular stages of development, it offers wide-ranging policy implications in the process. The authors critically examine recently developed endogenous growth models, study the dynamic implications of modified models, and test the models empirically with modern time series methods that avoid the perils of heterogeneity in cross-country studies. Their empirical analyses, undertaken with newly constructed time series data for the United States and some core countries of the Euro zone, show that models containing scale effects, such as the R&D model and the human capital model, are compatible with time series evidence only after considerable modifications and nonlinearities are introduced.They also explore the relationship between growth and inequality, with particular focus on technological change and income disparity. The Forces of Economic Growth represents a comprehensive and up-to-date empirical time series perspective on the New Growth Theory.