Data, data, data…. Economists know their importance well, especially when it comes to
monitoring macroeconomic conditions—the basis for making informed economic and policy …

This paper proposes and implements a statistical methodology for adjusting employment
data for the effects of deviations in weather from seasonal norms. This is distinct from …

Measuring economic growth is complicated by seasonality, the regular fluctuation in
economic activity that depends on the season of the year. The Bureau of Economic Analysis …

Methodology for seasonality diagnostics is extremely important for statistical agencies,
because such tools are necessary for making decisions whether to seasonally adjust a …

In the 2018 comprehensive update of the national income and product accounts, the Bureau
of Economic Analysis released not seasonally adjusted data, and modified its seasonal …

This paper considers a non-stationary dynamic factor model for large datasets to
disentangle long-run from short-run co-movements. We first propose a new Quasi Maximum …

The indirect seasonal adjustment obtained by aggregating component seasonal
adjustments may be inadequate, whereas the direct adjustment of the aggregate can …

According to the Bureau of Economic Analysis, real GDP rose at an annual rate of 1.2
percent in the first quarter of this year, a step down from the 2.3 percent pace in the second …

We propose new measures of US aggregate output and output gap computed by means of a
Non-Stationary Dynamic Factor model estimated on a large dataset of macroeconomic …

Measuring economic growth is complicated by seasonality, the regular fluctuation in
economic activity that depends on the season of the year. The BEA uses statistical …