Gateveys – An R Toolbox for Re-Traceable Aggregation of Business Tendency Survey Data

KOF Working Papers No. 326

20 Pages Posted: 31 Jan 2013

See all articles by Matthias Bannert

Matthias Bannert

ETH Zürich - KOF Swiss Economic Institute

Date Written: January 29, 2013

Abstract

This paper describes how to use the R package gateveys to establish a transparent and reproducible aggregation work flow for longitudinal data stemming from business tendency surveys (BTS). Business tendency survey researchers are addressed in particular though the suggested work flow could also be applied to other processes that generate categorical data. The package has two main features: First, it provides functions to build an aggregation process that re-calculates all periods when a new survey wave is added and hence can be fully reproduced at any later stage. Second, the package can be used to dynamically add localized meta information to the resulting time series object during the aggregation process. Besides, the paper suggests a software architecture for use of the package in a scenario with regular, periodical survey waves.

Keywords: R, aggregation, survey data, qualitative survey, categorical data, business tendency surveys, time series, meta data, meta information, software architecture, reproducible research

JEL Classification: C81, C83, C87

Suggested Citation

Bannert, Matthias, Gateveys – An R Toolbox for Re-Traceable Aggregation of Business Tendency Survey Data (January 29, 2013). KOF Working Papers No. 326, Available at SSRN: https://ssrn.com/abstract=2208506 or http://dx.doi.org/10.2139/ssrn.2208506

Matthias Bannert (Contact Author)

ETH Zürich - KOF Swiss Economic Institute ( email )

Zurich
Switzerland

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