This paper relaxes some key assumptions in the probabilistic approach to fiscal sustainability. First, the authors identify structural breaks over the sample period used to estimate the covariance matrix of the shocks to the debt ratios. Second, the assumption of normality of the shocks is...

This paper modifies several assumptions in the probabilistic approach to fiscal sustainability proposed by Celasun, Debrun, and Ostry (2007). First, we allow for structural breaks in the vector autoregression model for the macroeconomic variables. Second, in the Monte-Carlo simulations, we draw...

We present a simple model of management teams where the time it takes to make decisions is related to the size of the committee. We characterize the situations where larger or smaller sizes of the management team are desirable depending on the covariance structure of the signals that the...

This expository paper surveys a selection of the literature on the private provision of public goods using the Kolm triangle -- the Kolm triangle (Kolm, 1970) is the analogue of an Edgeworth box in an economy with a public good

In this paper we analyse market co-movements during the global financial crisis.  Using high frequency data and accounting for market microstructure noise and non-synchronous trading, interdependencies between differing asset classes such as equity, FX, fixed income, commodity and energy...

We examine the linkages between market and funding liquidity pressures, as well as their interaction with solvency issues surrounding key financial institutions during the 2007 subprime crisis. A multivariate GARCH model is estimated in order to test for the transmission of liquidity shocks...

We examine the linkages between market and funding liquidity pressures, as well as their interaction with solvency issues surrounding key financial institutions during the 2007 subprime crisis. A multivariate GARCH model is estimated in order to test for the transmission of liquidity shocks...

In contrast to a posterior analysis given a particular sampling model, posterior model probabilities in the context of model uncertainty are typically rather sensitive to the specification of the prior. In particular, 'diffuse' priors on model-specific parameters can lead to quite unexpected...