The importance of the comparative benchmark for measuring composite financial literacy with survey data

Frontiers in Psychology

article

Fang Liu¹  Hanyun Lei¹  Wenyi Lu³  Qiang Yin⁴ 

[1] School of Finance, Xinjiang University of Finance and Economics;School of Management, Jiangsu University of Technology;School of Finance, Zhejiang Gongshang University;Research Division, Asian Growth Research Institute;Business School, Jishou University

关键词: Comparative benchmark;    Composite financial literacy;    Objectively-measured financial literacy;    Subjectively-perceived financial literacy;    Overconfidence;   

DOI  :  10.3389/fpsyg.2022.1025555

学科分类：社会科学、人文和艺术（综合）

来源: Frontiers

【 摘 要 】

Using survey data to calculate composite financial literacy (CFL), existed studies do not consider the geographical difference of the means of objectively-measured financial literacy and subjectively-perceived financial literacy, i.e., comparative benchmark. Taking the survey data of National Financial Capability Study (NFCS) for example, we explain why it is more reasonable to use the within-state average rather than the national average of financial literacy as the comparative benchmark to measure CFL. Then we use NFCS 2009, 2012, 2015 and 2018 dataset to comparatively analyze the difference between CFL measured with the two benchmarks. The results of statistical analysis show that there is a great difference among the four groups of CFL measured with the two benchmarks, and 10.7% of respondents are categorized as a particular group of CFL incorrectly for all datasets. Additionally, the findings of spatial distribution analysis unveils that 36, 19, 15, and 6 states have respondents miscategorized in the four groups of CFL for 2009, 2012, 2015, and 2018 respectively, in which the highest proportion of the population miscategorized in a state is up to 49.91%. Finally, we find that several groups of CFL measured with the two benchmarks have significantly different effects on stock market participation behavior. Our findings attach importance to the comparative benchmark for researchers, practitioners and policymakers to identify the more precise groups of CFL in survey.

【 授权许可】

CC BY