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Journal Article
Lingering Residual Seasonality in GDP Growth
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 uses statistical techniques to remove seasonality from its estimates of GDP, and, in 2015, it took steps to improve the seasonal adjustment of data back to 2012. I show that residual seasonality in GDP growth remains even after these adjustments, has been a longer-term phenomenon, and is particularly noticeable in the 1990s. The size of this residual seasonality is economically meaningful and has the ability to change the ...
Discussion Paper
Cash Assets of Foreign Banks: An Example of Seasonal Adjustment Gone Awry
Federal Reserve Statistical Release H.8 provides aggregate data on the assets and liabilities of commercial banks in the United States. Two types of data are provided: one in which each series is adjusted to offset regular, seasonal movements, and another in which no adjustment is made. Recently, a striking pattern has emerged in one particular data series: the cash assets of foreign-related banking institutions.[1] In the seasonally adjusted data, this value has fallen 36 percent since its peak in June 2011?a sharp movement that has generated concern among market observers. The nonseasonally ...
Discussion Paper
Reasonable Seasonals? Seasonal Echoes in Economic Data after COVID-19
Seasonal adjustment is a key statistical procedure underlying the creation of many economic series. Large economic shocks, such as the 2007-09 downturn, can generate lasting seasonal echoes in subsequent data. In this Liberty Street Economics post, we discuss the prospects for these echo effects after last year’s sharp economic contraction by focusing on the payroll employment series published by the U.S. Bureau of Labor Statistics (BLS). We note that seasonal echoes may lead the official numbers to overstate actual changes in payroll employment modestly between March and July of this year ...
Working Paper
Weather-adjusting employment data
First version: December 18, 2014. This version: January 12, 2015. This paper proposes and implements a statistical methodology for adjusting employment data for the effects of deviation in weather from seasonal norms. This is distinct from seasonal adjustment, which only controls for the normal variation in weather across the year. Unusual weather can distort both the data and the seasonal factors. We control for both of these effects by integrating a weather adjustment step in the seasonal adjustment process. We use several indicators of weather, including temperature, snowfall and ...
Working Paper
Tracking Trend Inflation: Nonseasonally Adjusted Variants of the Median and Trimmed-Mean CPI
We make five contributions. We demonstrate that extant trimmed-mean and median CPI construction procedures depart from Bureau of Labor Statistics index construction procedures, and that the departures don't make much of a difference. We produce nonseasonally adjusted variants of the trimmed-mean CPI and median CPI, and demonstrate that these are useful real-time estimates of trend inflation; the NSA median CPI outperforms the median CPI, but both SA and NSA variants of the median and the trimmed-mean CPI easily dominate the so-called "core" CPI. We introduce superior ex post measures of trend ...
Working Paper
Seasonal adjustment of state and metro ces jobs data
Hybrid time series data often require special care in estimating seasonal factors. Series such as the state and metro area Current Employment Statistics produced by the Bureau of Labor Statistics (BLS) are composed of two different source series that often have two different seasonal patterns. In this paper we address the process to test for differing seasonal patterns within the hybrid series. We also discuss how to apply differing seasonal factors to the separate parts of the hybrid series. Currently the BLS simply juxtaposes the two different sets of seasonal factors at the transition ...