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Should I use seasonally adjusted or non seasonally adjusted?

For analyzing short-term price trends in the economy, seasonally adjusted changes are usually preferred since they eliminate the effect of changes that normally occur at the same time and in about the same magnitude every yearsuch as price movements resulting from changing climatic conditions, production cycles, model

What is the difference between trend and seasonally adjusted?

In trend-cycle estimates, the impact of irregular events in addition to seasonal variations is removed. Adjusting a series for seasonal variations removes the identifiable, regularly repeated influences on the series but not the impact of any irregular events.

What is the difference between seasonally adjusted and non seasonally adjusted?

The seasonally adjusted data allow for more meaningful comparisons of economic conditions from period to period. A raw time series is the equivalent series before seasonal adjustment and is sometimes referred to as the original or unadjusted time series.

What is seasonal adjustment in time series?

Seasonal adjustment is widely used in official statistics as a technique for enabling timely interpretation of time series data. The purpose of seasonal adjustment is to remove systematic calendar-related variation associated with the time of the year, that is, seasonal effects.

What does it mean when CPI is seasonally adjusted?

Seasonal adjustment removes the effects of recurring seasonal influences from many economic series, including consumer prices. The adjustment process quantifies seasonal patterns and then factors them out of the series to permit analysis of non-seasonal price movements.

What is SA and NSA in CPI?

Terminology. Seasonally adjusted data are referred to in a number of ways: adjusted, seasonally adjusted, and SA. Likewise, data that have not been seasonally adjusted are often referred to as not seasonally adjusted, unadjusted, or NSA.

What is the difference between seasonally adjusted and Deseasonalized?

Seasonal adjustment is the process of removing a nuisance periodic component. The result of a seasonal adjustment is a deseasonalized time series. Deseasonalized data is useful for exploring the trend and any remaining irregular component.

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