Other packages > Find by keyword >

PNADCperiods  

Identify Reference Periods in Brazil's PNADC Survey Data
View on CRAN: Click here


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", "0.1.1")



Attach the package and use:
library("PNADCperiods")
Maintained by
Rogerio Barbosa
[Scholar Profile | Author Map]
All associated links for this package
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 0.1.1, https://cran.r-project.org/web/packages/PNADCperiods. Accessed 26 Jun. 2026.
Previous versions and publish date:
0.1.1 (2026-04-21 20:42)
Other packages that cited PNADCperiods R package
View PNADCperiods citation profile
Other R packages that PNADCperiods depends, imports, suggests or enhances
Complete documentation for PNADCperiods
Functions, R codes and Examples using the PNADCperiods R package
Full PNADCperiods package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

poptrend  
Estimate Smooth and Linear Trends from Population Count Survey Data
Functions to estimate and plot smooth or linear population trends, or population indices, from anim ...
Download / Learn more Package Citations See dependency  
colormap  
Color Palettes using Colormaps Node Module
Allows to generate colors from palettes defined in the colormap module of 'Node.js'. (see ...
Download / Learn more Package Citations See dependency  
tactile  
New and Extended Plots, Methods, and Panel Functions for 'lattice'
Extensions to 'lattice', providing new high-level functions, methods for existing functions, panel f ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
PoisBinOrdNor  
Data Generation with Poisson, Binary, Ordinal and Normal Components
Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal ...
Download / Learn more Package Citations See dependency  
infotheo  
Information-Theoretic Measures
Implements various measures of information theory based on several entropy estimators. ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA