We propose a novel approach to model serially dependent positive-valued variables which realize a non-trivial proportion of zero outcomes. This is a typical phenomenon in financial time series observed at high frequencies, such as cumulated trading volumes. We introduce a flexible point-mass...

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...

A labor matching model with nominal rigidities can match short-run movements in labor's share with some success. However, it cannot explain much of the behavior of employment, vacancies, and job flows in postwar US data without resorting to additional shocks beyond monetary policy and...

In this paper, we develop and apply Bayesian inference for an extended Nelson-Siegel (1987) term structure model capturing interest rate risk. The so-called Stochastic Volatility Nelson-Siegel (SVNS) model allows for stochastic volatility in the underlying yield factors. We propose a Markov...

We introduce a regularization and blocking estimator for well-conditioned high-dimensional daily covariances using high-frequency data. Using the Barndorff-Nielsen, Hansen, Lunde, and Shephard (2008a) kernel estimator, we estimate the covariance matrix block-wise and regularize it. A data-driven...

Measuring and modeling financial volatility is the key to derivative pricing, asset allocation and risk management.The recent availability of high-frequency data allows for refined methods in this field.In particular, more precise measures for the daily or lower frequency volatility can be...

This paper documents the systematic response of postwar U.S. fiscal policy to fiscal imbalances and the business cycle using a multivariate Fiscal Taylor Rule. Adjustments to taxes and purchases both account for a large portion of the fiscal response to debt, while authorities seem reluctant to...

This paper outlines a simple regression-based method to decompose the variance of an aggregate time series into the variance of its components, which is then applied to measure the relative contributions of productivity, hours per worker, and employment to cyclical output growth across a panel...

This paper proposes and tests a theory of credit-driven asset bubbles which are neutral in their real effects. When a lender such as a government, central bank, or banking sector is willing to lend infinitely against collateral, explosive asset bubbles can form which exactly offset a bubble in...

In this paper, I discuss three sets of links which I uncover in the data on aggregate US job and worker flows. Job flows are strongly related to aggregate employment growth, while worker flows are strongly related to employment growth and the unemployment rate. I show that a simple frictionless...