David G. Wiczer
Stony Brook University
100 Nicolls Rd
Economics Department, S617 SBS
Stony Brook, NY 11794
Institutional Affiliation: Stony Brook University
NBER Working Papers and Publications
|May 2020||Pandemic Recession: L or V-Shaped?|
with Victoria Gregory, Guido Menzio: w27105
We develop and calibrate a search-theoretic model of the labor market in order to forecast the evolution of the aggregate US labor market during and after the coronavirus pandemic. The model is designed to capture the heterogeneity of the transitions of individual workers across states of unemployment, employment and across different employers. The model is also designed to capture the trade-offs in the choice between temporary and permanent layoffs. Under reasonable parametrizations of the model, the lockdown instituted to prevent the spread of the novel coronavirus is shown to have long-lasting negative effects on unemployment. This is so because the lockdown disproportionately disrupts the employment of workers who need years to find stable jobs.
Published: Victoria Gregory & Guido Menzio & David Wiczer, 2020. "Pandemic Recession: L- or V-Shaped?," Quarterly Review, vol 40(1).
|April 2020||Labor Demand in the Time of COVID-19: Evidence from Vacancy Postings and UI Claims|
with Lisa B. Kahn, Fabian Lange: w27061
We use job vacancy data collected in real time by Burning Glass Technologies, as well as initial unemployment insurance (UI) claims data to study the impact of COVID-19 on the labor market. Our data allow us to track postings at disaggregated geography and by detailed occupation and industry. We find that job vacancies collapsed in the second half of March and are now 30% lower than their level at the beginning of the year. To a first approximation, this collapse was broad based, hitting all U.S. states, regardless of the intensity of the initial virus spread or timing of stay-at-home policies. UI claims also largely match these patterns. Nearly all industries and occupations saw contraction in postings and spikes in UI claims, regardless of whether they are deemed essential and whether th...
|July 2015||Multidimensional Skill Mismatch|
with Fatih Guvenen, Burhanettin Kuruscu, Satoshi Tanaka: w21376
What determines the earnings of a worker relative to his peers in the same occupation? What makes a worker fail in one occupation but succeed in another? More broadly, what are the factors that determine the productivity of a worker-occupation match? To help answer questions like these, we propose an empirical measure of multidimensional skill mismatch, which is based on the discrepancy between the portfolio of skills required by an occupation and the portfolio of abilities possessed by a worker for learning those skills. This measure arises naturally in a dynamic model of occupational choice and human capital accumulation with multidimensional skills and Bayesian learning about one’s ability to learn skills. Not only does mismatch depress wage growth in the current occupation, it also lea...
- Faith Guvenen & Burhan Kuruscu & Satoshi Tanaka & David Wiczer, 2015. "Multidimensional Skill Mismatch," Federal Reserve Bank of St. Louis, Working Papers, vol 2015(022).
- Fatih Guvenen & Burhan Kuruscu & Satoshi Tanaka & David Wiczer, 2020. "Multidimensional Skill Mismatch," American Economic Journal: Macroeconomics, vol 12(1), pages 210-244. citation courtesy of