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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:title>Identify Reference Periods in Brazil's PNADC Survey Data</dc:title>
  <dc:title>R package PNADCperiods version 0.1.1</dc:title>
  <dc: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)
    &lt;https://repositorio.ipea.gov.br/handle/11058/9859&gt;.</dc:description>
  <dc:type>Software</dc:type>
  <dc:relation>Depends: R (&gt;= 4.1.0)</dc:relation>
  <dc:relation>Imports: data.table (&gt;= 1.14.0), checkmate (&gt;= 2.0.0), sidrar (&gt;=
0.2.9), lubridate (&gt;= 1.9.4)</dc:relation>
  <dc:relation>Suggests: dplyr, fst, haven, testthat (&gt;= 3.0.0), knitr, rmarkdown,
pkgdown, ggplot2, scales</dc:relation>
  <dc:creator>Rogerio Barbosa &lt;rogerio.barbosa@iesp.uerj.br&gt;</dc:creator>
  <dc:publisher>Comprehensive R Archive Network (CRAN)</dc:publisher>
  <dc:contributor>Rogerio Barbosa [aut, cre] (ORCID:
    &lt;https://orcid.org/0000-0002-6796-4547&gt;, contribution: R package,
    dashboard, and website),
  Marcos Hecksher [aut] (ORCID: &lt;https://orcid.org/0000-0003-2992-1252&gt;,
    contribution: Mensalization methodology)</dc:contributor>
  <dc:rights>MIT + file LICENSE (https://CRAN.R-project.org/package=PNADCperiods/LICENSE)</dc:rights>
  <dc:date>2026-04-21</dc:date>
  <dc:format>application/tgz</dc:format>
  <dc:identifier>https://CRAN.R-project.org/package=PNADCperiods</dc:identifier>
  <dc:identifier>doi:10.32614/CRAN.package.PNADCperiods</dc:identifier>
  <dc:language>en-US</dc:language>
</oai_dc:dc>