In this paper, we review the most common specifications of discrete-time stochastic volatility (SV) models and illustrate the major principles of corresponding Markov Chain Monte Carlo (MCMC) based statistical inference. We provide a hands-on ap proach which is easily implemented in empirical...

Several Bayesian model combination schemes, including some novel approaches that simultaneously allow for parameter uncertainty, model uncertainty and robust time varying model weights, are compared in terms of forecast accuracy and economic gains using financial and macroeconomic time series....

I estimate a forward-looking, dynamic, discrete-choice monetary policy reaction function for the US economy, that accounts for the fact that there are substantial restrictions in the period-to-period changes of the Fed's policy instrument. I find a substantial contrast between the periods before...

Unit root tests against trend break alternatives are based on the premise that the dating of the trend breaks coincides with major economic events with permanent effects on economic activity, such as wars and depressions. Standard economic theory, however, suggests that these events have large...

This paper analyses US nominal house prices at an annual frequency over the period from 1927 to 2022 by means of a very general time series model. This includes both a (linear and non-linear) deterministic and a stochastic component, with the latter allowing for fractional orders of integration...

Some observers have argued that minority borrowers and neighborhoods were targeted for expensive credit in 2004-06, the peak period for subprime lending. To investigate this claim, we take advantage of a new data set that merges demographic information on subprime borrowers with information on...

This paper examines the impact of the financial crisis of 2008, specifically the bankruptcy of Lehman Brothers, on the federal funds market. Rather than a complete collapse of lending in the presence of a market-wide shock, we see that banks became more restrictive in their choice of...

In this paper we present a general approach and methodology for modelling concentration dynamics on industrial level. The majority of research in this field has usually been focused on estimating adjustment models, where the speed of adjustment of actual level of concentration to the long-run...

The boom and subsequent bust in housing construction and prices over the 2000s is widely regarded as a principal contributor to the Financial Panic of 2007 and the subsequent Great Recession. As of this writing, housing market activity remains at depressed levels as the economy slowly resolves...

For years, online retailers have maintained a price advantage over brick-and-mortar retailers by not collecting sales tax at the time of sale. Recently, several states have required that online retailer Amazon collect sales tax during checkout. Using transaction-level data, we document that...