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PNADCperiods
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Download and install PNADCperiods package within the R console
Install from CRAN:
install.packages("PNADCperiods")
Install from Github:
library("remotes")
install_github("cran/PNADCperiods") Install by package version:
library("remotes")
install_version("PNADCperiods", "0.1.3") Attach the package and use:
library("PNADCperiods")
Maintained by
Rogerio Barbosa
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First Published: 2026-04-21
Latest Update: 2026-04-21
Description:
Identifies reference periods (months, fortnights, and weeks) in Brazil's quarterly PNADC (Pesquisa Nacional por Amostra de Domicilios Continua) survey data and computes calibrated weights for sub-quarterly analysis. The core algorithm uses IBGE (Instituto Brasileiro de Geografia e Estatistica) 'Parada Tecnica' (technical break) rules combined with respondent birthdates to determine which temporal period each survey observation refers to. Period identification follows a nested hierarchy enforced by construction: fortnights require months, weeks require fortnights. Achieves approximately 97% monthly determination rate with the full series (2012-2025). Strict fortnight and week rates are approximately 9% and 3% respectively, as they cannot leverage cross-quarter panel aggregation. Experimental strategies (probabilistic assignment and UPA (Primary Sampling Unit) aggregation) further improve these determination rates. The package provides adaptive hierarchical weight calibration (4/2/1 cell levels for month/fortnight/week) with period-specific smoothing to produce survey weights calibrated to SIDRA (Sistema IBGE de Recuperacao Automatica) population totals. Also includes a SIDRA mensalization module that converts 86+ official rolling quarter series from the IBGE SIDRA API (Application Programming Interface) into exact monthly estimates, without requiring access to microdata. Hecksher (2020) <https://repositorio.ipea.gov.br/handle/11058/9859>.
How to cite:
Rogerio Barbosa (2026). PNADCperiods: Identify Reference Periods in Brazil's PNADC Survey Data. R package version 0.1.3, https://cran.r-project.org/web/packages/PNADCperiods. Accessed 24 Oct. 2026.
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