This paper reexamines the relationship between financial market imperfections and economic instability. I present a model in which financial accelerator effects come from adverse selection in credit markets. Unlike other models of the financial accelerator, the model I present has the potential...

Theoretical studies have shown that under unorthodox assumptions on preferences and production technologies, collateral constraints can act as a powerful amplification and propagation mechanism of exogenous shocks. We investigate whether or not this result hold under more standard assumptions....

This paper studies the role of collateral constraints in transforming small monetary shocks into large persistent output fluctuations. We do this by introducing money in the heterogeneous-agent real economy of Kiyotaki and Moore (1997). Money enters in a cash-in-advance constraint and is...

Over the last decade, research has shown that financing constraints have an important impact on many aspects of firm behavior and aggregate fluctuations. This paper undertakes a critical comparison of the three main financing constraint hypotheses- -the bank lending, collateral, and internal...

This paper introduces an upgraded version of MSVARlib, a Gauss and Ox- Gauss compliant library, focusing on Multivariate Markov Switching Regressions in their most general specification. This new set of procedures allows to estimate, through classical optimization methods, models belonging to...

I use numerical methods to test for the presence of one-time structural breaks in the conditional variance of nominal interest rate spreads in four European countries over a period of eleven years (Jan 1988 to Dec 1998). I start with an intuitive approach consisting of a sequence of breakpoint...

Using a recently introduced nonparametric test, I investigate two important and distinct asymmetries in cross-country quarterly macroeconomic time series. Asymmetries are suggested by many theories (old and new), and those discovered aid in the selection of the appropriate nonlinear time series...

This paper introduces a new open source Gauss library to estimate Multivariate Hidden Markov Models (HMM) in their simpler specification. These new programs are based upon the works of Hamilton (1994) and Krolzig (1998) and allow assessment of models with 2, 3 or 4 states through classical...

This paper explores 35 years of the American business cycle with the Hidden Markov Model (HMM) as a monitoring tool using monthly data. It exhibits ten US time series, which offer reliable information to detect recessions in real time. It also assesses the performances of different and...

This paper explores the American business cycle with the Hidden Markov Model (HMM) as a monitoring tool using monthly data. It exhibits ten US time series which offer reliable information to detect recessions in real time. It also proposes and assesses the performances of different and...