The SARS-CoV-2 outbreak made clear the urgent need to depart from traditional statistics, typically released with a lag and available at a relatively low frequency This led to unparalleled efforts to put forward high-frequency indicators to track economic developments timely By resorting to non-traditional data sources, we propose a novel daily economic indicator to track economic activity in Portugal It corresponds to the latent variable of a set of daily series within a factor model framework We find a sudden and sharp drop in economic activity in mid-March 2020, when the lockdown of several activities was declared due to the COVID-19 pandemic Since in this approach we address the complexities of high-frequency data without further smoothing, we are able to identify sudden changes of economic activity in a timely and daily manner in contrast with other approaches
The Daily Economic Indicator: tracking economic activity daily during the lockdown