Estimates of potential output are an important ingredient of structured forecasting and policy analysis. Using information on consensus forecasts, this paper extends the multivariate filter developed by Benes and others (2010). Although the estimates in real time are more robust relative to...

We use the novel anonymized Household Labour Force Survey (HLFS) microdata to analyze job finding rates and job separation rates in New Zealand. We find that individual characteristics, including age, gender, ethnicity and education have a significant impact on job finding and separation rates,...

Using newly digitized unemployment insurance claims data we construct a historical monthly unemployment series for U.S. states going back to January 1947. The constructed series are highly correlated with the Bureau of Labor Statics' state-level unemployment data, which are only available from...

This paper investigates labor market dynamics in Japan during the COVID-19 pandemic drawing on macro and micro data. The pandemic and related containment measures had a large negative impact on employment, labor force participation, earnings, and labor market mobility, although policy support...

In a descriptive way, this paper analyzes the transitions in the Bolivian labor market during the Covid19 pandemic to comprehend the patterns and trends of worker transitions across states related to employment, unemployment, temporarily inactive, permanently inactive; also for employed people...

This paper examines the effects of job loss on workers. Using detailed administrative data from Costa Rica, we use a clustering algorithm to group workers into types based on their employment stability and job search efficiency. Our results show that job displacement leads to persistent earning...