This paper studies amplification of productivity shocks in labor markets through on-the-job-search. There is incomplete information about the quality of the employee-firm match which provides persistence in employment relationships and the rationale for on-the-job search. Amplification arises...

This paper constructs a multiple-shock version of the Mortensen-Pissarides labor market search model to investigate the basic model's well-known tendency to under predict the volatility of key labor market variables. Data on U.S. job finding and job separation probabilities are used to help...

We estimate trend unemployment rates for Ohio, Pennsylvania, Kentucky, and West Virginia, states that span parts of the Fourth District of the Federal Reserve System. Our estimated unemployment rate trend for the District as a whole stood at 5.7 percent in 2020:Q1 compared to a 4.7 percent...

We present a model with search frictions and heterogeneous agents that allows us to decompose the overall increase in US wage inequality in the last 30 years into its within- and between-firm and skill components. We calibrate the model to evaluate how much of the overall rise in wage inequality...

This paper evaluates the ability of autoregressive models, professional forecasters, and models that leverage 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...

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

In this paper, we present a simple, reduced-form model of comovements in real activity and worker flows and use it to uncover the trend changes in these flows, which determine the trend in the unemployment rate. We argue that this trend rate has several key features that are reminiscent of a...

This paper presents a flow-based methodology for real-time unemployment rate projections and shows that this approach performed considerably better at the onset of the COVID-19 recession in spring 2020 in predicting the peak unemployment rate as well as its rapid decline over the year. It...

Using a unique data set and a novel identification strategy we explore the effect of the state-level minimum wage increases on firms' existing and new vacancy postings. Utilizing occupation-specific county-level vacancy data from the Conference Board's Help Wanted Online for 2005-2018, we show...