Presentación del paquete eph

Scientific Conference (2020, October 09)

Working with data produced by public sources often encounters several problems: one of the most common is the lack of continuity in the publication of databases. In this regard, the Permanent Household ... [more ▼]

Working with data produced by public sources often encounters several problems: one of the most common is the lack of continuity in the publication of databases. In this regard, the Permanent Household Survey -EPH- of the National Institute of Statistics and Censuses (INDEC) in Argentina is an exception. In fact, this survey has published user databases with information since 1974. However, this has been done in a "non-replicable" way: from changes in the formats of its publication (dbase, .txt, .xls, .sav, etc.) to renaming some variables and recoding their categories, which makes them impractical for continuous use and processing. The lack of an API for the dissemination of information produced by INDEC generates a limit to the information processing capabilities, reducing the users to i) thematic experts with knowledge of how to access sources and ii) media that access information already processed in the form of press releases. This limits the potential value of the enormous work done by the institute, by discouraging its use by users with limited knowledge of the sources, but with data processing capabilities, such as the R community. In turn, certain key indicators presented by the EPH have methodological annexes, but no public implementations that allow the public to make use of the methodology outside the reports prepared by the institute. In this context, the eph package aims to facilitate the work of those users of the Permanent Household Survey - INDEC who wish to process data from it using the programming language R. The library has the following functionalities: i) a unified syntax for downloading, tagging and building datasets with comparable cross-sectional information ii) Implementation of indicator calculation (poverty) using the official methodology Some of its functions are: get_microdata(): Downloads the microdata bases, organize_panels(): Allows to build a panel data pool of the continuous EPH surveys, organize_cno(): Classifies occupations according to the CNO 2001 organize_caes(): Classifies economic activities according to CAES Mercosur 1.0 and CAES Mercosur organize_labels(): Label the bases following the last design map_agglomerates(): Indicator map by agglomerate The package also has other datasets that can be useful for working with the EPH: some dictionaries that contain the coding of geographic variables (such as regions or clusters) or the geographic position (centroids) of the clusters where the survey is conducted. [less ▲]

Paquete de Herramientas para el procesamiento de la Encuesta Permanente de Hogares

Software (2019)