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Название: Stochastic Dynamic Macroeconomics: Theory, Numerics and Empirical Evidence
Автор: Semmler W.
In this book, we try to contribute to the current research in stochastic dy-
namic macroeconomics. We recognize that the stochastic dynamic optimiza-
tion model is important in macroeconomics, we consider the current stan-
dard model of model, the real business cycle model, only to be a simple and
starting point for macrodynamic analysis. For the model to explain the real
world more eﬀectively, some Keynesian features should be introduced. We
have shown that with such an introduction the model can be enriched while
it becomes possible to resolve the most important puzzles, the labor market
puzzle and the technology puzzle, in RBC economy.