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A Novel Sampling Strategy for Surveying High Net-Worth Individuals: A Pretest Using the Socio-Economic Panel

Referierte Aufsätze Web of Science

Rainer Siegers, Charlotte Bartels, Martin Kroh, Carsten Schröder, Markus M. Grabka, Johannes König

In: The Review of Income and Wealth 66 (2020), 4, S. 825-849

Abstract

High‐wealth individuals are typically underrepresented or completely missing in population surveys. The lack of comprehensive national registers on high‐wealth individuals in many countries challenged previous attempts to remedy this under‐representation. In a novel research design, we draw on public data on the shareholding structures of companies as a sampling frame. Our design builds on the empirical regularity that high‐wealth individuals are likely to hold at least part of their assets in the form of shareholdings. Based on data from over 270 million companies worldwide, we select all individuals who are both German residents and registered shareholders of companies. In a pretest, we interviewed 124 households from a gross sample of 2,000 anchor persons. Our analysis shows that values of shareholdings from register data highly correlate with individual ranks in the wealth distribution, that the quality of personal information, particularly the residential address, is sufficiently high for subsequent interviewing, and that the approach can fill a major data and research gap in the study of high‐wealth individuals.

Charlotte Bartels

Research Associate in the German Socio-Economic Panel study Department

Rainer Siegers

Member of Research Infrastructure in the German Socio-Economic Panel study Department

Markus M. Grabka

Senior Researcher in the German Socio-Economic Panel study Department



JEL-Classification: C83;D31
Keywords: sampling method, wealth, top wealth
DOI:
https://doi.org/10.1111/roiw.12452

Frei zugängliche Version: (econstor)
http://hdl.handle.net/10419/230067

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