From deliberate sample to representative sample: pilot study for the BER inflation expectations survey

Dr. Monique Reid (), Professor Dieter von Fintel () and Mr. Anis Foresto ()

ERSA Working Paper Series, 2025

Abstract: With the adoption of inflation targeting in South Africa in 2000, the Bureau for Economic Research (BER) began to collect inflation expectations survey data on behalf of the South African Reserve Bank. This respected survey is rich by international standards and has contributed valuable insights to policy, academic and private sector analyses. International trends towards greater reliance on microdata within macroeconomics are, however, placing slightly different demands on the survey, and access to complementary datasets has offered new opportunities to enhance it. In this pilot study, we link the inflation expectations survey data of firms to a spatial tax panel dataset. We investigate whether the survey sample adequately represents the structure of the South African economy and offer a series of survey weights to be added to the micro dataset. The results show that the BER has maintained an adequate level of representativity over the life of the survey, but we recommend that sample weights be estimated periodically to ensure that representativity is ensured institutionally. The sample weights can also support targeted recruitment in future. Finally, through careful documentation we hope to enable other researchers to pursue questions that benefit from linking the inflation expectations data with other datasets.

Keywords: administrative data; inflation expectations; business surveys (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://ersawps.org/index.php/working-paper-series/article/view/134/171 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:rza:ersawp:v::y:2025:i::id:134

Access Statistics for this article

ERSA Working Paper Series is currently edited by Guangling Liu

More articles in ERSA Working Paper Series from Economic Research Southern Africa
Bibliographic data for series maintained by Maggi Sigg ().