This paper evaluates the ability of autoregressive models, professional forecasters, and models that incorporate unemployment flows to forecast the unemployment rate. We pay particular attention to flows-based approaches - the more reduced-form approach of Barnichon and Nekarda (2012) and the...

Using a unique data set and a novel identification strategy, we estimate the effect of minimum wage increases on job vacancy postings. Utilizing occupation-specific countylevel vacancy data from the Conference Board's Help Wanted Online for 2005-2018, we find that state-level minimum wage...

This paper assesses whether labor market frictions, in the form of searching and matching, can help explain movements in the labor wedge - the gap between the marginal rate of substitution (MRS) and the marginal productivity of labor in a perfectly competitive business cycle model. Results...

This paper proposes an empirical method for estimating a long-run trend for the unemployment rate that is grounded in the modern theory of unemployment. I write down an unobserved components model and identify the cyclical and trend components of the underlying unemployment flows, which in turn...

This paper measures flow rates into and out of unemployment for Turkey and uses these rates to estimate the unemployment rate trend, that is the level of the unemployment rate the economy converges to in the long-run. In doing so, the paper explores the role of the labor force participation in...

We show that the inability of a standardly-calibrated labor search-and-matching model to account for labor market volatility extends beyond the U.S. to a set of OECD countries. That is, the volatility puzzle is ubiquitous. We argue cross-country data is helpful in scrutinizing between potential...

Lenders have traditionally used credit reports to measure a borrower's default risk, but credit agencies also market reports to employers for use in hiring. Since the onset of the Great Recession, eleven state legislatures have restricted the use of credit reports in the labor market. We...