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According to the National Bureau of Economic Research (NBER), a deep recession started in the United States in December 2007 and ended in June 2009. However, most people recognize that even though the recession was said to be over, its after-effects lingered well into the next decade, and even in 2017, some ten years later, governments in America and around the world were struggling with problems of low growth, wage stagnation and high poverty. Most economists were caught off guard, and they began to look for new ideas that may be appropriately called NEW MACROECONOMICS. This book examines…mehr

Produktbeschreibung
According to the National Bureau of Economic Research (NBER), a deep recession started in the United States in December 2007 and ended in June 2009. However, most people recognize that even though the recession was said to be over, its after-effects lingered well into the next decade, and even in 2017, some ten years later, governments in America and around the world were struggling with problems of low growth, wage stagnation and high poverty. Most economists were caught off guard, and they began to look for new ideas that may be appropriately called NEW MACROECONOMICS. This book examines conventional economics in the context of recent developments. It shows that a new theory, known as the wage-productivity model, explains almost every macro-economic experience of the global economy since 1980. You have to read this theory to believe it. This theory will turn out to be more important than the Keynesian revolution.
Autorenporträt
Apek Mulay is founder of Mulay's Consultancy Services and an entrepreneur with WFG. He authored several books such as (2014), Sustaining Moore's Law: Uncertainty Leading to a Certainty of IoT Revolution (2015), How Information Revolution Remade the Business and the Economy: A Roadmap for Progress of the Semiconductor Industry (2016), New Macroeconomics (2018) and edited Economic Renaissance in the Age of Artificial Intelligence (2019). He has also authored a monograph on technology and a patent entitled Surface Imaging with Materials Identified by Colors. He holds two masters degrees--one in electrical engineering from Texas Tech and other in business analytics from The University of Texas at Dallas.