Distributed Lags Analysis

Performs a complete distributed lags analysis for all variables in the continuous dependent variable list, treating the (single) continuous predictor variable as the independent variable. Various summary reports and plots are available.

General

Element Name Description
Detail of computed results reported Detail of computed results; if Minimal detail is requested, only the summary statistics are reported; if All results is requested, then various plots of the variables in the analyses are also reported.
Method Select the type of distributed lags model: The Unconstrained polynomial lags model or the Almon polynomial lags model.
Lag Specifies the maximum lag length to be used in the analysis; the default (and minimum value) is 1; the maximum lag is 48.
Almon polyn. lags order Specifies the polynomial order for parameter estimation; this value must be smaller than the Lag length.
Labels plots with case names Labels the horizontal axis in plots (if Level of detail is All results) with case numbers or case names (if available).
Generates data source, if N for input less than Generates a data source for further analyses with other Data Miner nodes if the input data source has fewer than k observations, as specified in this edit field; note that parameter k (number of observations) will be evaluated against the number of observations in the input data source, not the number of valid or selected observations.

Missing Data

Element Name Description
Replace missing data Specifies how missing data is to be replaced. Missing data can be replaced by the overall mean, interpolated from adjacent points, replaced by the mean or median of N adjacent points (on both sides of the hole), or estimated (predicted) from linear trend regression. Note that as long as the missing data are at the end of the series (trailing missing data) or the beginning of the series (leading missing data), the missing data will simply be ignored.
Number of adjacent points Applicable if missing data are replaced by the mean or median of N adjacent points; specify N. The missing data are replaced by the mean or median computed from the N adjacent points on both sides of the hole of missing data.