2018
DOI: 10.2139/ssrn.3271014
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Credit Information Sharing and the Shift in Bank Lending towards Households

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Cited by 4 publications
(18 citation statements)
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“…Further, we also test the association of the share of household credit with lagged measures of EPU and obtain similar results, thus alleviating concerns of reverse causality. Our results also remain consistent after accounting for information sharing, which has been shown to positively influence the share of household credit at the country level (Bahadir & Valev, 2019). The main findings are robust to estimation using country-level aggregates of household and total credit compiled by Léon (2018).…”
Section: Introductionsupporting
confidence: 76%
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“…Further, we also test the association of the share of household credit with lagged measures of EPU and obtain similar results, thus alleviating concerns of reverse causality. Our results also remain consistent after accounting for information sharing, which has been shown to positively influence the share of household credit at the country level (Bahadir & Valev, 2019). The main findings are robust to estimation using country-level aggregates of household and total credit compiled by Léon (2018).…”
Section: Introductionsupporting
confidence: 76%
“…By contrast, earlier studies on household and firm credit (for instance, Bahadir & Valev, 2017Beck, Büyükkarabacak, Rioja, & Valev, 2012;Léon, 2018;Mian et al, 2017) have relied on aggregate country-level data. Our finding for economic policy uncertainty complements the study of Bahadir and Valev (2019) who document the positive effect of credit information sharing on the share of bank lending to households using aggregate country-level data. Using micro-level data allows us to control for heterogeneity across banks in terms of bank characteristics that can affect the composition of bank loans, such as capital ratios, size and profitability of banks.…”
Section: Introductionsupporting
confidence: 74%
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“…On borrower default, Jappelli and Pagano (2002) and Behr and Sonnekalb (2012) find that credit information sharing reduces borrower default. More recently, Bahadir and Valev (2019) report that credit information sharing disproportionately increases lending to households relative to businesses. Due to data unavailability, a bulk of the prior empirical literature excluded African countries, leaving policy makers in Africa with very little guidance on how credit information sharing schemes could impact the economy.…”
Section: Related Literature and Hypothesesmentioning
confidence: 99%