Is seasonally adjusted data more accurate?

As new data becomes available, the various time series components can be estimated more accurately. This results in revised, more accurate estimates of the seasonally adjusted data. Periodically, the methods used to estimate time series components for specific data series are also reviewed.

What does seasonal adjustment mean in statistics?

Seasonal adjustment is a statistical technique that attempts to measure and remove the influences of predictable seasonal patterns to reveal how employment and unemployment change from month to month. Seasonally adjusted data are useful when comparing several months of data.

How do you calculate seasonal adjusted data?

The ratio between the actual number and the average determines the seasonal factor for that time period. To calculate SAAR, the unadjusted monthly estimate is divided by its seasonality factor and then multiplied by 12—or by 4 if quarterly data are being used instead of monthly data.

How do you calculate seasonal adjusted sales?

Take your January actual sales and divide it by 0.85; that is your seasonally adjusted sales (or whatever concept you are working with). This is all you have do, especially if you only have five or ten years of data.

How does Eurostat work on seasonal adjustment in SA?

Eurostat and ESS have several activities working toward greater alignment of practices in SA. In this note you can find some guidance for the seasonal/ calendar adjustment approach to be taken in order to deal with data affected by the Covid-19 crisis. It focuses also on the possible outlier modelling strategy to be adopted.

How are seasonally adjusted data used in statistics?

Statisticians use the process of seasonal-adjustment to uncover trends in data. Monthly data, for instance, are influenced by the number of days and the number of weekends in a month as well as by the timing of holidays and seasonal activity.

How often does Eurostat publish government expenditure data?

Eurostat regularly publishes seasonally adjusted and calendar adjusted quarterly data on government revenue, expenditure and surplus (+)/ deficit (-), currently for twenty-two Member States, Switzerland and the EU aggregates.

What is the X11 method for seasonal adjustment?

The X11 method involves applying symmetric moving averages to a time series in order to estimate the trend, seasonal and irregular components. However at the end of the series, there is insufficient data available to use symmetric weights – the ‘end-point’ problem.