Panel on Household Finances Interim Survey 2020

DOI

The PHF scientific use file (SUF) Interim Survey 2020 Version 1.0 data set is the first version of the PHF Interim Survey 2020 data set and consists of the Stata file PHF_Interim_2020_v1_0.dta. The PHF interim survey in 2020 mainly served to bridge the period between the last survey on household finance in Germany in 2017 and the PHF 4th wave which was postponed to 2021 as a result of the pandemic. It contains specific questions on the impact of the coronavirus pandemic on households and their saving behavior. The asset structure was also collected, but not in the detail of the main surveys.The different survey mode of the interim survey (PAPI/CAWI) and the associated differences in the design of the questions on wealth further restrict the comparability of the interim survey with the main waves. In particular, it is not possible to compare absolute assets consistently over time. However, the survey results provide an insight into the impact of the pandemic on households’ finances and wealth distribution. A total of 4550 households participated in the interim survey, with the majority already participating in previous surveys.

Self-administered questionnaire: Paper

Paper-assisted personal interviews (PAPI) Computer-assisted web Interviews (CAWI)

All private households located in Germany except institutional households (in old-age homes, prisons, barracks etc.)

Refresher Sample: Stratified random sample based on population registers; oversampling of wealthy households and regions in eastern Germany

Identifier
DOI https://doi.org/10.12757/bbk.phf.int.2020.01.01
Related Identifier Continues https://doi.org/10.12757/bbk.phf.int.2019.01.01
Metadata Access https://api.datacite.org/dois/10.12757/bbk.phf.int.2020.01.01
Provenance
Creator Schmidt, Tobias; Kocharkov, Georgi; Paule-Paludkiewicz, Hannah; Tzamourani, Panagiota; Nils, Wehrhöfer; Zhu, Junyi; Bernard, René; Hebbat, Malik; Kothmayr, Lisa; Qiu, Zhuoer; Werner, Daniel; Köhler, Mona
Publisher Deutsche Bundesbank
Publication Year 2023
OpenAccess true
Representation
Resource Type Dataset
Version 1.0
Discipline Social Sciences
Spatial Coverage Germany