Measuring labor supply and demand shocks during COVID-19

2021/09/15 by Pedro Brinca, Joao B. Duarte, João B. Duarte +1 · 26 citations
Economics, Econometrics and Finance · Health Professions · Mathematics · #Aggregate demand #Bayesian probability #Bayesian vector autoregression #COVID-19 Pandemic Impacts #COVID-19 epidemiological studies #Coronavirus disease 2019 (COVID-19) #Demand shock #Econometrics #Economics #Employment and Welfare Studies #Labor demand #Labour economics #Macroeconomics #Monetary economics #Monetary policy #Statistics #Structural vector autoregression #Supply and demand #Supply shock #Vector autoregression #Wage

paper · open access · doi:10.1016/j.euroecorev.2021.103901

published in European Economic Review 139, 103901 (Elsevier BV)

openalex publication_date 2021/09/15 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/01

Citations

• Bayesian Methods for Dynamic Multivariate Models
• Structural Interpretation of Vector Autoregressions with Incomplete Identification: Revisiting the Role of Oil Supply and Demand Shocks
• Shocks and Frictions in US Business Cycles: A Bayesian DSGE Approach

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