Business Cycles: Theory and Empirical Methods

In macrodynamics and business cycle analysis we find nowadays a variety of approaches elaborating frameworks for studying the fluctuations in economic and financial data. These approaches are viewed from Keynesian, monetarist and rational expectations standpoints. There are now also numerous empirical methods for the testing of nonlinear data generating mechanisms.
This volume brings together a selection of contributions on theories of the business cycle and new empirical methods and synopsizes the new results. The volume (i) gives an overview of current models and modern concepts and tools for analyzing the business cycle; (ii) demonstrates, where possible, the relation of those models to the history of business cycle analysis; and (iii) presents current work, surveys and original work, on new empirical methods of studying cycle generating mechanisms.

I Complex Dynamics in the Business Cycle.- 1 Business Cycles and Long Waves: A Behavioral Disequilibrium Perspective.- 2 Competitive Markets and Endogenous Cycles: An Evaluation.- 3 Analytical and Numerical Methods in the Study of Nonlinear Dynamical Systems in Keynesian Macroeconomics.- 4 Business Cycles, Fiscal Policy, and Budget Deficits.- 5 Continuous-Time Dynamical Models with Distributed Lags.- II Monetary and Financial Factors in the Business Cycle.- 6 Price Flexibility and Output Stability: An Old Keynesian View.- 7 The Stability of Models of Monetary Growth with Adaptive Expectations or Myopic Perfect Foresight.- 8 A Model of the Financial Sector and Its Reaction to Aggregate Fluctuations.- 9 External Finance, Investment Expenditure and the Business Cycle.- 10 Monetary Factors and Gestation Lag in a Kaleckian Model of the Business Cycle.- III Testing for Nonlinearities in the Business Cycle.- 11 Asymmetric Economic Propagation Mechanisms.- 12 Asymmetries in Business Cycles: Econometric Techniques and Empirical Evidence.- 13 Testing for Chaos and Nonlinearities in Macroeconomic Time Series.- 14 Using U-Statistics to Detect Business Cycle Nonlinearities.- 15 The Time Reversibility Test with Application to Financial Data.