![]() |
PING
0.9
Statistical data handling and processing in production environment
|
Retrieve (count) the occurrences of (dis)aggregated income variables in the input database.
geo : a list of countries or a geographical area; default: geo=EU28;year : year of interest;var : list of (personal and household) income components to be considered for disaggregation;index : (option) index defining the disaggregated income component to analyse; it is any integer (or list of integers) in [0-4], where 0 means that the aggregated variable will also be analysed; default: index=0 1 2 3 4, i.e. all disaggregated components are analysed;cond : (option) flag/expression used to define which properties of the disaggregated variable is analysed; it can be:MISSING for counting the number of observations where the flag is 1;NOTMISSING, ibid for observations where the flag is NOT -1;NULL for counting the number of observations where either the variable or the flag are null (value =0),NOTNULL, ibid for observations where both the variable and the flag are non null (value >0);FILLED for counting observations with non null variable (value >0) and observations with non null flag (value >0);idsn : (option) name of the input dataset; when passed, all the variables listed in var should be present in the dataset idsn; when not passed, the input dataset will be set automatically to the PDB for the given year and the type of the given variable (see macro silc_db_locate); default: not passed;ilib : (option) name of the input library passed together with idsn; default: not passed, i.e. set automatically to the library of the PDB;weight : !!! NOT IMPLEMENTED YET (option) personal weight variable used to weighting the distribution; default: weight=RB050a !!!odsn : (option) name of the output dataset; default: odsn=SUMMARY_INC;olib : (option) name of the output library; by default, when not set, olib=WORK.COND. It does not use any PROC FREQ for instance.weight is currently not used.EU-SILC survey reference document doc65.