Advances in Non-linear Economic Modeling

In recent years nonlinearities have gained increasing importance in economic and econometric research, particularly after the financial crisis and the economic downturn after 2007. This book contains theoretical, computational and empirical papers that incorporate nonlinearities in econometric models and apply them to real economic problems. It intends to serve as an inspiration for researchers to take potential nonlinearities in account. Researchers should be aware of applying linear model-types spuriously to problems which include non-linear features. It is indispensable to use the correct model type in order to avoid biased recommendations for economic policy.

Highlights various fields of economics in which nonlinearities may play a crucial role Brings together theoretical, computational and applied work Puts emphasis on the link between financial markets and the macroeconomy which is highly topical and an open and evolving field of research in economics Includes supplementary material: sn.pub/extras

Inhalt

Non-Linearities Related to the Financial Sector: Mittnik, S., Semmler, W.: Estimating a Banking-Macro Model Using a Multi-Regime VAR.- Martínez-García, E.: U.S. Business Cycles, Monetary Policy and the External Finance Premium.- Gallegati, M.: Early Warning Signals of Financial Stress: A "Wavelet-Based" Composite Indicators Approach.- Non-Linearities in Other Fields of Research: Sandberg, R.: Least Absolute Deviation Based Unit Root Tests in Smooth Transition Type of Models.- Benati, L., Lubik, T.A.: The Time-Varying Beveridge Curve.- Charemza, W., Kharin, Y., Maevskiy, V.: Bilinear Forecast Risk Assessment for Non-Systematic Inflation: Theory and Evidence.- Karimi, M., Voia, M.-C.: Currency Crises, Exchange Rate Regimes and Capital Account Liberalization: A Duration Analysis Approach.