A NOVEL SAMPLING STRATEGY FOR SURVEYING HIGH NET-WORTH INDIVIDUALS-A PRETEST APPLICATION USING THE SOCIO-ECONOMIC PANEL

摘要

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.