PING
0.9
Statistical data handling and processing in production environment
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Provide information regarding the definition/construction of EU-SILC indicators.
ind
: (list of) indicator(s) whose information is requested;cds_varxind, clib
: (option) respectively, name and library of the configuration file storing the correspondance table between the various variables and indicators; by default, these parameters are set to the values &G_PING_VARIABLExINDICATOR
and &G_PING_LIBCFG
(e.g., META_VARIABLExINDICATOR
and LIBCFG
resp.); see %meta_variablexindicator for further description.odsn
: (option) name of the final output dataset created; if not set, aolib
: (option) name of the output library used when odsn
is passed;_svy_, _lib_
: (option) names of the macro variable where to return the (list of) survey(s) and library(ies) the indicator(s) in ind
was (were) developed for;_var_, _fmt_
: (option) names of the macro variables where to return, resp., the (list of) variable(s) and its (their) format(s) used for the estimation of the indicator(s) in ind
;_wght_
: (option) name of the macro variable where to return the (list of) weights used for the estimation of the indicator(s) in ind
;_desc_
: (option) name of the macro variable where to return the (list of) indicator(s)' description(s)/title(s).The instructions:
will store in the dataset odsn
the following table:
indicator | survey | lib | EQ_INC20 | PPP | RATE | ACTSTA | AGE | RB090 | DB100 | weight | description |
---|---|---|---|---|---|---|---|---|---|---|---|
di01 | ECHP-SILC | RDB | fmt1_EQ_INC20_ | fmt1_PPP_ | fmt1_RATE_ | RB050a | Distribution of income by quantiles | ||||
di05 | ECHP-SILC | RDB | fmt1_EQ_INC20_ | fmt1_PPP_ | fmt1_RATE_ | fmt1_ACTSTA_ | fmt1_AGE_ | fmt1_RB090_ | PE040 | Mean and median income by most frequent activity status | |
di17 | SILC | RDB | fmt1_EQ_INC20_ | fmt1_PPP_ | fmt1_RATE_ | fmt1_AGE_ | fmt1_RB090_ | fmt1_DB100_ | RB050a | Mean and median income by deg_urb status |
Also note the specific format of the output macro variables set by the macro, depending on the number of indicators passed in output, e.g.:
will return:
osvy=ECHP-SILC
,olib=RDB
,ovar=EQ_INC20 PPP RATE
,ofmt=fmt1_EQ_INC20_ fmt1_PPP_ fmt1_RATE_
,owght=RB050a
,odesc=Distribution of income by quantiles
,while, if one requests information about two indicators insted of one:
the outputs will take the form of lists between parentheses:
osvy=(ECHP-SILC,ECHP-SILC)
,olib=(RDB,RDB)
,ovar=("EQ_INC20 PPP RATE","ACTSTA AGE EQ_INC20 PPP RATE RB090")
,ofmt=("fmt1_EQ_INC20_ fmt1_PPP_ fmt1_RATE_","fmt1_ACTSTA_ fmt1_AGE_ fmt1_EQ_INC20_ fmt1_PPP_ fmt1_RATE_ fmt1_RB090_")
,owght=(RB050a,PE040)
,odesc=("Distribution of income by quantiles","Mean and median income by most frequent activity status")
The cds_varxind
configuration dataset defines the correspondance table between the various variables and indicators. See %meta_variablexindicator for more details. In practice, the table looks like this:
indicator | survey | lib | AGE | RB090 | ARPTXX | EQ_INC20 | ... | weight | description |
---|---|---|---|---|---|---|---|---|---|
DI01 | ECHP-SILC | RDB | 1 | ... | RB050a | Distribution of income by quantiles | |||
DI02 | ECHP-SILC | RDB | 1 | ... | RB050a | Distribution of income by different income groups | |||
DI03 | ECHP-SILC | RDB | 1 | 1 | 1 | ... | RB050a | Mean and median income by age and gender | |
DI04 | ECHP-SILC | RDB | 1 | 1 | 1 | ... | RB050a | Mean and median income by household type | |
DI05 | ECHP-SILC | RDB | 1 | 1 | 1 | ... | PB040 | Mean and median income by most frequent activity status | |
... | ... | ... | ... | ... | ... | ... | ... | ... | ... |