EViews 10 New Econometrics and Statistics: Computation

Season Adjustment Methods

EViews 10 offers two new seasonal adjustment methods, both of which allow you to perform adjustment on non-quarterly or monthly data.

STL decomposition is a seasonal adjustment method that decomposes a series into seasonal, trend and remainder components using a filtering algorithm based upon LOESS regressions.

STL has two main advantages over other seasonal adjustment methods; it works on any frequency of data, and can be calculated on time series data with irregular patterns and missing values.

EViews 10 offers a front-end interface to the U.S. Bureau of Labor’s MoveReg weekly seasonal adjustment program

Like its sister quarterly data based X-13 package, MoveReg has the ability to control for both outlier and holiday effects when performing the adjustment.

EViews’ implementation of the U.S. Census Bureau’s X-13 seasonal adjustment package has been extended to give an interface to the Force specification of X-13, which allows you to seasonally adjust the data, forcing the annual totals to remain at the pre-adjusted levels.

Improved Special Function Computation

Many common mathematical expressions lose accuracy and/or precision when calculated naively. EViews 10 provides functions that preserve the accuracy/precision of results for specific expressions. While these functions are intended to be used near particular critical values, they can be invoked safely anywhere in the expressions’ domains.