Nominal and real U.S. interest rates (1997Q1-2008Q2) are combined with inflation expectations from the Survey of Professional Forecasters to calculate time series of risk premia. It is shown that survey data on inflation and output growth uncertainty, as well as a proxy for liquidity premia can...

This paper brings together two strands of the empirical macro literature: the reduced-form evidence that the yield spread helps in forecasting output and the structural evidence on the difficulties of estimating the effect of monetary policy on output in an intertemporal Euler equation. We show...

This paper develops a political economy model of multiple unemployment equilibria to provide a theory of an endogenous natural rate of unemployment. This model is applied to the UK and the US interwar period which is remembered as the decade of mass unemployment. The theory here sees the natural...

One of the most extended empirical stylized facts about output dynamics in the United States is the positive autocorrelation of output growth. This paper shows that the positive autocorrelation can be better captured by shifts between business cycle states rather than by the standard view of...

How did Europe overtake China? We construct a simple Malthusian model with two sectors, and use it to explain how European per capita incomes and urbanization rates surged ahead of Chinese ones. Productivity growth can only explain a small fraction of rising living standards. Population dynamics...

There is a lively debate on the persistence of the current banking crisis' impact on GDP. Impulse Response Functions (IRF) estimated by Cerra and Saxena (2008) suggest that the effects of earlier crises were long-lasting. We show that standard estimates of IRFs are highly sensitive to...

We set out a model to compute short-term forecasts of the euro area GDP growth in real-time. To allow for forecast evaluation, we construct a real-time data set that changes for each vintage date and includes the exact information that was available at the time of each forecast. With this data...

This paper presents new models for aggregate UK data on mortgage possessions (foreclosures) and mortgage arrears (payment delinquencies). The innovations include the treatment of difficult to observe variations in loan quality and shifts in forbearance policy by lenders, by common latent...

This paper conducts a broad-based comparison of iterated and direct multi-step forecasting approaches applied to both univariate and multivariate models. Theoretical results and Monte Carlo simulations suggest that iterated forecasts dominate direct forecasts when estimation error is a...

In this paper we develop a mixed frequency dynamic factor model featuring stochastic shifts in the volatility of both the latent common factor and the idiosyncratic components. We take a Bayesian perspective and derive a Gibbs sampler to obtain the posterior density of the model parameters. This...