2020
DOI: 10.1111/jfir.12217
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U.S. Political Corruption and Loan Pricing

Abstract: Using U.S. Department of Justice data on state‐level political corruption, we find that banks charge higher loan spreads (all‐in‐drawn spreads) to firms in states with higher corruption and that these effects are more pronounced for firms facing financial constraints but less pronounced for firms experiencing greater external monitoring. These results are robust to additional controls, alternative corruption measures, a measure of the lack of oversight of lobbyist activities, and the use of instrumental variab… Show more

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Cited by 28 publications
(8 citation statements)
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References 88 publications
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“…Studies generally report that firms obtain net benefits from political connections (e.g., Faccio, Masulis, & McConnell, 2006; Ferris, Houston, & Javakhadze, 2019). Other studies provide evidence against the benefits of “political corruption” when the term is not confined to “political connections” (e.g., Brown et al., 2019; Dass et al., 2016; Hossain & Kryzanowski, 2020; Hossain, Kryzanowski, & Ma, 2020; Shleifer & Vishny, 1993). Shleifer and Vishny (1993), Bliss and Di Tella (1997), and Aidt (2003) argue that corruption, acting like a “grabbing hand,” increases the costs of carrying out business activities.…”
Section: Brief Literature Review and Hypothesis Developmentmentioning
confidence: 99%
“…Studies generally report that firms obtain net benefits from political connections (e.g., Faccio, Masulis, & McConnell, 2006; Ferris, Houston, & Javakhadze, 2019). Other studies provide evidence against the benefits of “political corruption” when the term is not confined to “political connections” (e.g., Brown et al., 2019; Dass et al., 2016; Hossain & Kryzanowski, 2020; Hossain, Kryzanowski, & Ma, 2020; Shleifer & Vishny, 1993). Shleifer and Vishny (1993), Bliss and Di Tella (1997), and Aidt (2003) argue that corruption, acting like a “grabbing hand,” increases the costs of carrying out business activities.…”
Section: Brief Literature Review and Hypothesis Developmentmentioning
confidence: 99%
“…We controlled microfinance firm size with a natural log of total assets (Afrifa et al., 2019). The literature shows that ROE affects the performances such as credit extension (Hossain et al., 2020). Literature also shows that returns on equity, which is the ratio of the difference between net operating income and taxes to average total equity, impact MFI performances (Hossain et al., 2020; Kjosevski & Petkovski, 2017).…”
Section: Data and Empirical Modelmentioning
confidence: 99%
“…The literature shows that ROE affects the performances such as credit extension (Hossain et al., 2020). Literature also shows that returns on equity, which is the ratio of the difference between net operating income and taxes to average total equity, impact MFI performances (Hossain et al., 2020; Kjosevski & Petkovski, 2017). It is also established that the capital asset ratio (total equity to total assets) is one of the determinants of credit extension of financial institutions (Sarma & Pais, 2011; Wang & Guan, 2017).…”
Section: Data and Empirical Modelmentioning
confidence: 99%
“…In this subsection, we compare the levels of financial constraint of both acquirers and targets during the precrisis period to the corresponding levels during the postcrisis period. For robustness, we use four measures of financial constraint: Altman's Z score (Z), Kaplan–Zingales (1997) measure (KZ), Whited and Wu (2006) index (WW), and SA index of Hadlock and Pierce (2010) (HP) (see, e.g., Duchin, Ozbas, and Sensoy 2010; Derrien, Kecskés, and Thesmar 2013; Hann, Ogneva, and Ozbas 2013; Almamy, Aston, and Ngwa 2016; Hossain, Kryzanowski, and Ma forthcoming).…”
Section: Financial Constraints Intrinsic Value and Manda Performancementioning
confidence: 99%