2017
DOI: 10.1177/0148558x17724890
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Bowling Alone, Bowling Together: Is Social Capital Priced in Bank Loans?

Abstract: We investigate whether the societal-level social capital enjoyed by firms affects the cost of their bank loans. Employing a measure of societal-level social capital for U.S. counties, we find that firms with higher societal-level social capital are associated with lower loan spreads. To further identify causality, we explore two events: Using a sample of firms that relocate their headquarters for tax reasons, we find that firms that move to lower (higher) social capital counties experience a higher (lower) cos… Show more

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Cited by 27 publications
(16 citation statements)
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“…This study makes several contributions to the literature. My study extends an emerging stream of accounting literature that documents the effect of social capital on firms' behaviors (Alm, Clark, and Leibel 2011;Jha 2013;Jha 2014;Jha and Chen 2015;Cheng et al 2016;Li, Tang, and Jaggi 2016). To my knowledge, it is the first study examines that effect of social capital on analyst forecast accuracy.…”
Section: Introductionsupporting
confidence: 52%
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“…This study makes several contributions to the literature. My study extends an emerging stream of accounting literature that documents the effect of social capital on firms' behaviors (Alm, Clark, and Leibel 2011;Jha 2013;Jha 2014;Jha and Chen 2015;Cheng et al 2016;Li, Tang, and Jaggi 2016). To my knowledge, it is the first study examines that effect of social capital on analyst forecast accuracy.…”
Section: Introductionsupporting
confidence: 52%
“…build the county-level social capital index based on four factors: the census response rate, the voter rate, the number of social and civic associations, and the number of nongovernment organizations in each county. Consistent with the argument of Guiso et al (2004), , and Cheng et al (2016), this index captures the resources that accrue to people as a result of participation in social networks. Following Dhaliwal and Radhakrishnan (2012), I also use analyst forecast error as an inverse measure of forecast accuracy.…”
Section: Introductionmentioning
confidence: 83%
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