During downturns, workers get stuck in low-productivity jobs and wages remain stagnant. I build an heterogenous agent incomplete market model with a full job ladder that accounts for these facts. An adverse financial shock calibrated to the US Great Recession replicates the period’s slow recovery and missing disinflation.
We assess the impact of COVID-19 on consumption indicators by estimating the effects of government-mandated containment measures and of the willingness of individuals to voluntarily physically distance to prevent contagion.
We demonstrate the usefulness of payment systems data and machine learning models for macroeconomic predictions and provide a set of econometric tools to overcome associated challenges.
The COVID-19 pandemic highlighted the need for policy-makers to closely monitor disruptions to the retail and food business sectors. We present a new method to measure business opening and closing rates using real-time data from Google Places, the dataset behind the Google Maps service.
A multi-country consumer survey investigates why and how much households decreased their consumption in five key sectors after pandemic-related restrictions were lifted in Europe in July 2020. Beyond infection risk and precautionary saving motives, households also reported not missing some consumption items, which may indicate preference shifts and structural changes in the post-COVID-19 economy.
Did supply disruptions and cost pressures play a role in rising inflation in 2020 during the COVID-19 pandemic? Using data collected from websites of large retailers in multiple sectors and countries, we show that shortages may indicate transitory inflationary pressures.
How do outcomes of monetary and fiscal stabilization policies at the zero lower bound change when decision makers have finite planning horizons in the economy? We explore the effects of limited foresight on policy tools and the interaction between monetary and fiscal policy.
Although the number of job applications has risen, job-finding rates remain relatively unchanged while job-separation rates have significantly declined. Rather than raising the probability of finding a job, we find that a rise in applications raises the probability of finding a good match, as evidenced by the decline in separation rates.