In this paper, we develop a novel dataset of weekly economic conditions indices for the 50 U.S. states going back to 1987 based on mixed-frequency dynamic factor models with weekly, monthly, and quarterly variables that cover multiple dimensions of state economies. We show that there is...

This paper extends Piketty's analysis of the wealth-income ratio used as a proxy for wealth inequality, to allow for innovation. Drawing on a Schumpeterian (R&D-based) growth model that incorporates both tangible and intangible capital and using historical data for 21 OECD countries, we find the...

Using new home production data for the U.S., we estimate a model of structural transformation with a home production sector, allowing for both non-homotheticity of preferences and differential productivity growth in each sector. We report two main findings. First, the estimation results show...

Global potential output growth has been flagging. At 2.5 percent in 2013-17, post-crisis potential growth is 0.5 percentage point below its longer-term average and 0.9 percentage point below its average a decade ago. Compared with a decade ago, potential growth has declined 0.8 percentage point...

We propose a methodology to gauge the uncertainty in output gap nowcasts across a large number of commonly deployed vector autoregressions in US inflation and various measures of the output gap. Our approach constructs ensemble nowcast densities using a linear opinion pool. This yields...

This paper examines Australia’s terms of trade boom since 2003 with a particular interest in quantifying the links between the terms of trade and sectoral performance and identifying an associated ‘secondary services boom’. Comparative static general equilibrium modelling and empirical...

We estimate a nonlinear VAR to quantify the impact of economic policy uncertainty shocks originating in the US on the Canadian unemployment rate in booms and busts. We find strong evidence in favor of asymmetric spillover effects. Unemployment in Canada is shown to react to uncertainty shocks in...

This paper evaluates how adaptive learning agents weight different pieces of information when forming expectations with a recursive least squares algorithm. The analysis is based on a renewed and more general non-recursive representation of the learning algorithm, namely, a penalized weighted...

Although EME central banks actively intervene in currency markets, there is a long-running debate as to its effectiveness in affecting exchange rates. In this study, we use unique daily data on currency interventions in Mongolia to analyze the impact of these interventions on the changes in the...

The asymptotic distributions of the recursive out-of-sample forecast accuracy test statistics depend on stochastic integrals of Brownian motion when the models under comparison are nested. This often complicates their implementation in practice because the computation of their asymptotic...