Creator: Bullard, James and Duffy, John, 1964- Series: Joint committee on business and financial analysis Abstract:
Trend-cycle decomposition has been problematic in equilibrium business cycle research. Many models are fundamentally based on the concept of balanced growth, and so have clear predictions concerning the nature of the multivariate trend that should exist in the data if the model is correct. But the multivariate trend that is removed from the data in this literature is not the same one that is predicted by the model. This is understandable, because unexpected changes in trends are difficult to model under a rational expectations assumption. A learning assumption is more appropriate here. We include learning in a standard equilibrium business cycle model with explicit growth. We ask how the economy might react to the important trend-changing events of the postwar era in industrialized economies, such as the productivity slowdown, increased labor force participation by women, and the "new economy" of the 1990s. This tells us what the model says about the trend that should be taken out of the data before the business cycle analysis begins. Thus we use learning to address the trend-cycle decomposition problem that plagues equilibrium business cycle research. We argue that a model-consistent approach, such as the one we suggest here, is necessary if the goal is to obtain an accurate assessment of an equilibrium business cycle model.
关键词: Learning, Productivity slowdown, New economy, Equilibrium business cycle theory, and Business cycle fluctuations 学科: E30 - Prices, business fluctuations, and cycles - General and E20 - Macroeconomics : Consumption, saving, production, employment, and investment - General
Creator: Prescott, Edward C. Series: Staff report (Federal Reserve Bank of Minneapolis. Research Department) Number: 527 Abstract:
This essay reviews the development of neoclassical growth theory, a unified theory of aggregate economic phenomena that was first used to study business cycles and aggregate labor supply. Subsequently, the theory has been used to understand asset pricing, growth miracles and disasters, monetary economics, capital accounts, aggregate public finance, economic development, and foreign direct investment.
The focus of this essay is on real business cycle (RBC) methodology. Those who employ the discipline behind the methodology to address various quantitative questions come up with essentially the same answer—evidence that the theory has a life of its own, directing researchers to essentially the same conclusions when they apply its discipline. Deviations from the theory sometimes arise and remain open for a considerable period before they are resolved by better measurement and extensions of the theory. Elements of the discipline include selecting a model economy or sometimes a set of model economies. The model used to address a specific question or issue must have a consistent set of national accounts with all the accounting identities holding. In addition, the model assumptions must be consistent across applications and be consistent with micro as well as aggregate observations. Reality is complex, and any model economy used is necessarily an abstraction and therefore false. This does not mean, however, that model economies are not useful in drawing scientific inference.
The vast number of contributions made by many researchers who have used this methodology precludes reviewing them all in this essay. Instead, the contributions reviewed here are ones that illustrate methodological points or extend the applicability of neoclassical growth theory. Of particular interest will be important developments subsequent to the Cooley (1995) volume, Frontiers of Business Cycle Research. The interaction between theory and measurement is emphasized because this is the way in which hard quantitative sciences progress.
关键词: Development, Neoclassical growth theory, Prosperities, Aggregation, Aggregate economic theory, RBC methodology, Aggregate financial economics, Depressions, and Business cycle fluctuations 学科: C10 - Econometric and Statistical Methods and Methodology: General, E32 - Business Fluctuations; Cycles, E00 - Macroeconomics and Monetary Economics: General, E13 - General Aggregative Models: Neoclassical, B40 - Economic Methodology: General, and E60 - Macroeconomic Policy, Macroeconomic Aspects of Public Finance, and General Outlook: General