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PNADCperiods

Convert Brazil’s quarterly PNADC survey data into sub-quarterly time series (monthly, fortnightly, weekly) and mensalize IBGE SIDRA aggregate series.

Installation

Install the released version from CRAN:

install.packages("PNADCperiods")

Or the development version from the dev branch on GitHub:

# install.packages("remotes")
remotes::install_github("antrologos/PNADCperiods", ref = "dev")

Main Features

  • Microdata mensalization: Identify reference months, fortnights, and weeks in PNADC microdata
  • SIDRA mensalization: Convert 86+ rolling quarterly IBGE series to exact monthly values
  • Weight calibration: Hierarchical raking to IBGE population totals
  • ~97% monthly determination with full data stacking; experimental strategies improve fortnight/week rates further

Interactive Dashboard

Explore 86+ official PNADC series with an interactive dashboard – no R required:

https://antrologos.shinyapps.io/PNADCperiods-dashboard/

The dashboard is built on top of this package and lets you visualize mensalized series, compare strategies, and download monthly time-series as CSV.

Basic Usage

Microdata Mensalization 

library(PNADCperiods)

# Build crosswalk identifying reference periods
crosswalk <- pnadc_identify_periods(pnadc_stacked)

# Apply to data with weight calibration
result <- pnadc_apply_periods(pnadc, crosswalk, weight_var = "V1028", anchor = "quarter")

SIDRA Series Mensalization 

# Fetch rolling quarterly data from SIDRA
rolling <- fetch_sidra_rolling_quarters(theme = "labor_market")

# Convert to exact monthly series
monthly <- mensalize_sidra_series(rolling)

Key Functions

Microdata

Function Description
pnadc_identify_periods() Build crosswalk: identify months/fortnights/weeks
pnadc_apply_periods() Apply crosswalk + calibrate weights
pnadc_experimental_periods() Boost rates with probabilistic strategies
validate_pnadc() Validate input columns

SIDRA Series

Function Description
get_sidra_series_metadata() List 86+ available PNADC series
fetch_sidra_rolling_quarters() Download rolling quarter data from SIDRA
mensalize_sidra_series() Convert rolling quarters to exact monthly
fetch_monthly_population() Fetch population totals from SIDRA

Documentation

Authors

  • Rogerio J. Barbosa (Ceres-IESP/UERJ) – R package, dashboard, and website
  • Marcos Hecksher (Ipea) – Mensalization methodology

Credits

Original PNADC data is collected by the Brazilian Institute of Geography and Statistics (IBGE). The mensalization methodology was developed by Marcos Hecksher (Ipea) and is described in full in Hecksher & Barbosa (2026), SocArXiv preprint. Earlier formulations of the methodology were published in Hecksher (2020, IPEA Nota Tecnica Disoc n. 62 and n. 87; Carta de Conjuntura v. 47). The R package, interactive dashboard, and documentation website were developed by Rogerio J. Barbosa at the Center for the Study of Wealth and Social Stratification (Ceres - IESP/UERJ).

Citation:

Barbosa, Rogerio J; Hecksher, Marcos. (2026). PNADCperiods: Identify Reference Periods in Brazil’s PNADC Survey Data. R package version 0.1.2. https://CRAN.R-project.org/package=PNADCperiods

Hecksher, Marcos; Barbosa, Rogerio J. (2026). Estimation of exact months for the microdata and rolling quarter series from PNAD Continua. SocArXiv preprint. https://osf.io/preprints/socarxiv/fra5u_v1

citation("PNADCperiods")

Getting Help

License

MIT