# Deseasonalize – What is it, definition and concept | 2022

Deseasonalizing is known as the process by which a specific variable or measurement is unlinked from a given period of time.

In the economic and mathematical field, seasonal adjustment is the action of ignoring or not taking into account the seasonal effect in a time series. In this way, said influence is not included when obtaining readings or conclusions from said data groups.

Another way of understanding this numerical phenomenon is under the name of seasonal adjustment.

## Deseasonalize as a technical procedure

The creation of temporary or numerical series of a seasonally adjusted nature is in itself a process of high technical difficulty, which is why it is common to resort to computer programming and different specific mathematical procedures.

In a basic scheme, eliminating the seasonal component of a series means stripping it of its regular behavior at the same time.

This happens in a large part of the time series that are obtained and that obey the natural order or the behavior of the economic cycles themselves.

## The mathematical basis when deseasonalizing

Although this is an algorithmically complex process, the basic mathematical idea behind the concept of seasonal adjustment is as follows.

It is necessary to differentiate between a moment X and another called X-1. In this way, statistically it is possible to alleviate or stabilize both the mean and the variance of the treated series.

If we had, for example, the production data of a factory between months, by seasonally adjusting, we eliminate the influence of the time of year or the climate in which they are found. Thus, we will compare its evolution in a constant and seasonally adjusted perspective.