Household indebtedness according to the Spanish Survey of Household Finances and the Central Credit Register: a comparative analysis

• Bover, Olympia ^[1] ; Crespo, Laura ^[1] ; García-Uribe, Sandra ^[1]
  1. [1] Banco de España
• Localización: Documentos ocasionales - Banco de España, ISSN 1696-2222, Nº. 5, 2022, págs. 1-40
• Idioma: inglés
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• Resumen

  • The aim of this study is to analyse the quality of the information on indebtedness gathered by the Spanish Survey of Household Finances (“EFF” by its Spanish initials). To this end, we match EFF data with the administrative data from the Central Credit Register (“CIR” by its Spanish initials), which every month details all outstanding loans in excess of €6,000 arranged by individuals with financial institutions in Spain. Given the differences between the two sources in terms of the information they gather, we construct and compare various measurements of household indebtedness. In order to minimise the differences associated with the discrepancies in household composition according to the municipal population register and the EFF, we analyse both the total linked sample and a subset of comparable households. Our findings show that, after controlling for the limitations of the link, indebtedness calculated with the EFF and the CIR is similar. 25.8% of households have mortgage debt according to the EFF, versus 29.9% according to the CIR. Within indebted households, the median mortgage debt recorded in the EFF is only 0.5% lower than the figure according to the CIR. Non-mortgage debt differences are bigger, but not substantial. 18% of households have non-mortgage debt according to the EFF, versus 23% according to the CIR, and the median debt is 10% lower in the EFF. Moreover, the detailed information provided by the survey on the characteristics of households and their respective debts makes it possible to identify the age of the reference person and the existence of debts shared with individuals who are not members of the household as being the characteristics that have the most bearing on the discrepancies between the EFF and the CIR. The findings of this analysis will help improve the gathering of information and the protocols for interviewing households for the EFF.