"We analyze the fiscal adjustment process in the United States using a multivariate threshold vector error regression model. The shift from single-equation to multivariate setting adds value both in terms of our economic understanding of the fiscal adjustment process and the forecasting...

In this paper we examine the nature of currency crises. We ascertain whether the currency crises of the European Monetary System (EMS) were based either on fundamentals, or on self-fulfilling market expectations driven by extrinsic uncertainty. In particular, we extend previous work of Jeanne...

We contribute to the debate on whether the U.S. large federal budget deficits are sustainable in the long run. We model the U.S. government deficit per capita as a threshold autoregressive process. We find evidence that the U.S. budget deficit is sustainable in the long run and that economic...

*There is widespread concern about rising levels of debt prompted by the rising overall levels of debt and the increasing reports of people having difficulties in managing their debts. *Analysis of the data on wealth and borrowing in the British Household Panel Survey in 1995 and 2000 finds that...

This study presents an analytical framework to examine the policy reaction function of a central bank in an open economy context while allowing for asymmetric preferences. The paper then empirically examines the policy rule obtained from this framework using quarterly data for the US, Canada,...

This paper investigates the role of financial markets in evaluating the asymmetric impact of monetary policy on real output over the business cycle. We use quarterly US data which cover 1971:q1-2011:q4 and implement an instrumental variables Markov regime switching methodology to account for the...

This paper generalizes the probability method of quantification [Carlson and Parkin, Economica, 1975] to the variance facilitating the quantification of business survey data which ask individuals whether or not they are uncertain. In an application to UK manufacturing traditional time-series and...