The paper proposes a technique to jointly tests for groupings of unknown size in the cross sectional dimension of a panel and estimates the parameters of each group, and applies it to identifying convergence clubs in income per-capita. The approach uses the predictive density of the data,...

A method to evaluate cyclical models not requiring knowledge of the DGP and the exact specification of the aggregate decision rules is proposed. We derive robust restrictions in a class of models; use some to identify structural shocks in the data and others to evaluate the class or contrast...

This paper examines the relationship between the equity premium and the risk free rate at three different maturities using post-1973 data for a panel of seven OECD countries. We show the existence of subsample instabilities, of some cross country differences and of inconsistencies with the...

We study whether and how fiscal restrictions alter the business cycle features macrovariables for a sample of 48 US states. We also examine the ‘typical’ transmission properties of fiscal disturbances and the implied fiscal rules of states with different fiscal restrictions. Fiscal...

We analyze the effects of neutral and investment-specific technology shocks on hours and output. Long cycles in hours are captured in a variety of ways. Hours robustly fall in response to neutral shocks and robustly increase in response to investment specific shocks. The percentage of the...

We study the contribution of the stock of money to the macroeconomic outcomes of the 1990s in Japan using a small scale structural model. Likelihood-based estimates of the parameters are provided and time stabilities of the structural relationships analyzed. Real balances are statistically...

We examine the role of expectations in the Great Moderation episode. We derive theoretical restrictions in a New-Keynesian model and test them using measures of expectations obtained from survey data, the Greenbook and bond markets. Expectations explain the dynamics of inflation and interest...