“…Specifically, while the increasing availability of large‐scale data sources, combined with increased computational power, has motivated researchers to examine the various correlates and consequences of objective measures of inequality across different levels of analysis (e.g., Blesch et al., 2022; Ngamaba et al., 2018), the same has not been true for research on subjective perceptions of economic inequality. Thus, by relying on large survey modules that measure subjective inequality in broad terms (e.g., the ISSP or WVS; Bavetta et al., 2017, 2020; Gimpelson & Treisman, 2018; Kelley & Evans, 1993, 2017; Niehues, 2014; Osberg & Smeeding, 2006) and by creating ad hoc measures that rarely pay attention to different types of inequality (e.g., Schmalor & Heine, 2022a, 2022b; Sprong et al., 2019), researchers have often traded‐off efficiency for deeper‐level understanding of the nature and drivers of subjective perceptions of inequality (Heiserman & Simpson, 2021; Marandola & Xu, 2021).…”