These essays bring together a progression in monetary theory. The major theme that runs through all of the chapters is that in order to do monetary economics well in general equilibrium, it helps to have a good money demand underlying the theory. A proper underlying money demand sets up arguably the best foundation from which to make extensions of monetary economics from the basic model. At the same time that money demand is modelled, this also “endogenizes” the velocity of money. This has been a challenge in the literature that these essays solve and then use to extend basic neoclassical growth and business cycle theory. Solving this problem, in a way that is a natural, direct, and “micro-founded” extension of the standard monetary theory is the first major contribution of the collection. The second major contribution is the extension of the neoclassical monetary models, using this solution, to reinvigorate classic issues of monetary economics and take them to the frontier.
No further information has been provided for this title. Modern Macroeconomics , by Max Gillman, takes a new and modern approach to macroeconomic theory using microeconomic foundations. Building from the standard neo-classical models, Gillman has developed a new dynamic model which works to explain business cycles and unemployment, why you can have a banking lead recession as well as fiscal and monetary policy. Although strong in mathematical rigour all calculations in this text are fully derived and graphs provide a direct representation making it accessible. This text is suitable for undergraduate students studying Advanced Macroeconomics courses.
Robert Lucas is one of the outstanding monetary theorists of the past hundred years. Along with Knut Wicksell, Irving Fisher, John Maynard Keynes, James Tobin, and Milton Friedman (his teacher), Lucas revolutionized our understanding of how money interacts with the real economy of production, consumption, and exchange. Lucas’s contributions are both methodological and substantive. Methodologically, he developed dynamic, stochastic, general equilibrium models to analyze economic decision-makers operating through time in a complex, probabilistic environment. Substantively, he incorporated the quantity theory of money into these models and derived its implications for money growth, inflation, and interest rates in the long run. He also showed the different effects of anticipated and unanticipated changes in the stock of money on economic fluctuations, and helped to demonstrate that there was not a long-run trade-off between unemployment and inflation (the Phillips curve) that policy-makers could exploit. The twenty-one papers collected in this volume fall primarily into three categories: core monetary theory and public finance, asset pricing, and the real effects of monetary instability. Published between 1972 and 2007, they will inspire students and researchers who want to study the work of a master of economic modeling and to advance economics as a pure and applied science.
For US postwar data, the paper explains central consumption, labor, investment and output correlations and volatilities along with output growth persistence by including a human capital investment sector and a variable physical capital utilization rate. Strong internal "amplication" results from an economy-wide productivity shock across goods and human capital investment sectors that has variances 10,000 fold smaller than in the standard RBC TFP shock. Simulated moments are compared to data moments for the business cycle, the low frequency and the Medium Cycle frequency, as well as the high frequency. A metric is provided to gauge that the results have an average of 46% deviation of simulated moments from data moments, for a broad array of targets across all windows. Within this array, key correlations have only a 15% deviation in the business cycle window, and growth persistence only an 8% deviation in the low frequency, which indicates good "propagation". Countercyclic human capital investment time and procyclic physical capital capacity utilization rates are also found as in data.
Real oil prices surged from 2009 through 2014, comparable to the 1970’s oil shock period. Standard explanations based on monopoly markup fall short since inflation remained low after 2009. This paper contributes strong evidence of Granger (1969) predictability of nominal factors to oil prices, using one adjustment to monetary aggregates. This adjustment is the subtraction from the monetary aggregates of the 2008-2009 Federal Reserve borrowing of reserves from other Central Banks (Swaps), made after US reserves turned negative. This adjustment is key in that Granger predictability from standard monetary aggregates is found only with the Swaps subtracted.
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