Frontiers Of Business Cycle Research
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Frontiers of Business Cycle Research
Author: Thomas F. Cooley
language: en
Publisher: Princeton University Press
Release Date: 2020-09-01
Among the most revolutionary and productive areas of economic research over the last two decades, modern business cycle theory is finally made accessible to students and professionals in this rigorous, unified, introductory volume. This theory starts with the view that growth and fluctuations are not distinct phenomena to be studied separately--and that business cycles result from shocks (such as the availability of new technologies), which regularly affect most economies. The unifying theme of this book is the use of the neoclassical growth framework to study the economic fluctuations associated with the business cycle. Presenting recent advances in dynamic economic theory and computational methods--with emphasis on the construction of equilibrium paths for simple artificial economies--leading experts orient readers in the quantitative study of aggregate fluctuations and apply its concepts to key issues in macroeconomics and business cycle theory. This volume covers such issues as the aggregate labor market, the role of the household sector, the role of money, the behavior of asset markets, non-Walrasian economies, monopolistically competitive economies, international business cycles, and the design of economic policies. The contributors are David Backus, V. V. Chari, Lawrence Christiano, Thomas F. Cooley, Jean-Pierre Danthine, John Donaldson, Jeremy Greenwood, Gary D. Hansen, Patrick Kehoe, Finn Kydland, Edward C. Prescott, Richard Rogerson, Julio Rotemberg, Geert Rouwenhorst, José-Víctor Ríos-Rull, Michael Woodford, and Randall Wright.
Frontiers of Business Cycle Research
Author: Thomas F. Cooley
language: en
Publisher: Princeton University Press
Release Date: 1995-02-26
This introduction to modern business cycle theory uses a neoclassical growth framework to study the economic fluctuations associated with the business cycle. Presenting advances in dynamic economic theory and computational methods, it applies concepts to t
Econometric Business Cycle Research
Author: Jan Jacobs
language: en
Publisher: Springer Science & Business Media
Release Date: 2012-12-06
Econometric Business Cycle Research deals with econometric business cycle research (EBCR), a term introduced by the Nobel-laureate Jan Tinbergen for his econometric method of testing (economic) business cycle theories. EBCR combines economic theory and measurement in the study of business cycles, i.e., ups and downs in overall economic activity. We assess four methods of EBCR: business cycle indicators, simultaneous equations models, vector autoregressive systems and real business indicators. After a sketch of the history of the methods, we investigate whether the methods meet the goals of EBCR: the three traditional ones, description, forecasting and policy evaluation, and the one Tinbergen introduced, the implementation|testing of business cycles. The first three EBCR methods are illustrated for the Netherlands, a typical example of a small, open economy. The main conclusion of the book is that simultaneous equation models are the best vehicle for EBCR, if all its goals are to be attained simultaneously. This conclusion is based on a fairly detailed assessment of the methods and is not over-turned in the empirical illustrations. The main conclusion does not imply the end of other EBCR methods. Not all goals have to be met with a single vehicle, other methods might serve the purpose equally well - or even better. For example, if one is interested in business cycle forecasts, one might prefer a business cycle indicator or vector autoregressive system. A second conclusion is that many ideas/concepts that play an important role in current discussions about econometric methodology in general and EBCR in particular, were put forward in the 1930s and 1940s. A third conclusion is that it is difficult, if not impossible, to compare the outcomes of RBC models to outcomes of the other three methods, because RBC modellers are not interested in modelling business cycles on an observation-per-observation basis. A more general conclusion in this respect is that methods should adopt the same concept of business cycles to make them comparable.