Starting Points for SIDRA Series Mensalization
Source:R/data-starting-points.R
pnadc_series_starting_points.RdPre-computed starting point values (y0) for mensalizing IBGE's rolling quarterly series into exact monthly estimates.
Usage
data(pnadc_series_starting_points)Format
A data.table with 159 rows and 3 columns:
- series_name
Character. Name of the SIDRA series (53 series)
- mesnotrim
Integer. Month position in quarter (1, 2, or 3)
- y0
Numeric. Starting point value for this series and position
Details
These starting points were computed from PNADC microdata using the full
R package pipeline, ensuring consistency with
compute_starting_points_from_microdata:
Weight calibration via
pnadc_apply_periods: all months scaled to SIDRA monthly population totalsz_ aggregates computed via
compute_z_aggregatesusing calibratedweight_monthlyStarting points computed via
compute_series_starting_pointswith CNPJ-aware calibration periods
The calibration period (2013-2019) was chosen because:
It includes stable pre-pandemic data
IBGE methodology was consistent during this period
Sufficient observations for reliable estimates
CNPJ series (empregadorcomcnpj, empregadorsemcnpj, contapropriacomcnpj, contapropriasemcnpj) use calibration period 2016-2019 with cumulative sum starting from October 2015 due to V4019 variable availability.
Methodology Consistency
The bundled starting points are generated using the same pipeline as
compute_starting_points_from_microdata, ensuring that users
who compute custom starting points will get consistent results.
When to Use Custom Starting Points
The bundled starting points are suitable for most users. Consider computing
custom starting points with compute_starting_points_from_microdata if:
IBGE makes major methodological changes to the PNADC
You need series not included in the bundled data
You want to use a different calibration period
You are working with updated or different microdata
See also
mensalize_sidra_series which uses this data by default
compute_series_starting_points for custom calibration