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Improving survey information on household debt using granular credit databases

Antonietta di Salvatore and Mirko Moscatelli ()
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Mirko Moscatelli: Bank of Italy

No 839, Questioni di Economia e Finanza (Occasional Papers) from Bank of Italy, Economic Research and International Relations Area

Abstract: Distributional information on the debt held by households and on the characteristics of debtors is fundamental for creating and updating policy-relevant indicators and models. The primary source for this information in Italy is the Survey on Household Income and Wealth (SHIW), carried out periodically by the Bank of Italy. Its estimates, however, are affected by several types of non-sampling errors inevitably present in surveys. In this work, we use granular credit registers to improve debt estimates and determine which households are more likely to have measurement errors for their debts. The results show that integrating the SHIW with information derived from the credit registers increases household debt participation and the amount of debt households hold. Moreover, we find that households belonging to the wealthiest quintiles of the population, residing in the South and Islands, and for which the reference person has a low level of financial education are more likely not to report their loans for property purchases to the SHIW.

Keywords: survey; administrative data; residential mortgages; consumer credit (search for similar items in EconPapers)
JEL-codes: C83 D31 G51 (search for similar items in EconPapers)
Date: 2024-03
New Economics Papers: this item is included in nep-ban and nep-fle
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