The suitability of tax data to study trends in inequality—A theoretical and empirical review with tax data from Switzerland. (June 2016)

• Record Type: Journal Article
• Authors: Hümbelin, Oliver; Farys, Rudolf
• Is Part Of: Research in social stratification and mobility. Volume 44(2016)
• Page Start: 136
• Page End: 150
• Publication Date: 2016-06
• Subjects: Tax data -- Inequality trend -- Income distribution -- Switzerland; Social mobility -- Periodicals; Occupational mobility -- Periodicals; Social status -- Periodicals; Social conflict -- Periodicals; Social classes -- Periodicals; Mobilité sociale -- Périodiques; Mobilité professionnelle -- Périodiques; Statut social -- Périodiques; Conflits sociaux -- Périodiques; Classes sociales -- Périodiques; 305.05
• DOI: 10.1016/j.rssm.2016.04.004
• Languages: English
• ISSNs: 0276-5624

Abstract

Highlights: Tax data is examined in the light of state-of-the-art inequality research. Exclusive micro tax data, aggregated tax data and survey data are compared. Alleged tax data advantages and shortcomings are ranked by importance. The longest possible income inequality trend for Switzerland is estimated. Abstract: In many countries results of inequality trends are ambiguous, because different methodological approaches blur the picture or because reliable data are not available. In this paper we assess whether tax data are suitable for the analysis of inequality trends. We do so by comparing tax data measurement concepts concerning income definition, statistical units and population coverage to theoretical-ideal concepts. We use Swiss tax data as an example to obtain a sense of the general direction and magnitude of potential biases and advantages. We therefore estimate the impact of the methodological options for measuring inequality based on tax data by comparing aggregated tax statistics and micro tax data results to corresponding results taken from surveys. While there are clear advantages to using tax data, such as long-term availability and reliable population coverage in more recent years, there are also drawbacks that lead to an overestimation of inequality based on aggregated tax statistics and hinder comparability over time. In sum, tax data are a source that should be used with care, but nonetheless seem to be indispensable for the analysis of inequality. Finally our estimations raise doubts about whether surveys are able to adequately track changes in income distribution tails, due to the undercoverage of very poor and very rich households.