This paper provides an extensive analysis of card spending during the COVID-19 pandemic in Turkey by using weekly aggregated and sectoral credit and debit card spending data from March 2014 to December 2020. At an aggregated level, we show that aggregate demand decreases significantly at the...

The COVID-19 pandemic has highlighted the importance of reliable statistical models which, based on the available data, can provide accurate forecasts and impact analysis of alternative policy measures. Here we propose Bayesian time dependent Poisson autoregressive models, that include time...

This paper measures the change in US unemployment and participation rates by gender due to the onslaught of the COVID-19 pandemic. It uses a triple difference estimation, DiDiD, and time series generated synthetic controls to compare these rates. The results suggest, thought not strongly, that...