2015
DOI: 10.1016/j.jbankfin.2015.09.012
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Does one size fit all? Determinants of insurer capital structure around the globe

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Cited by 26 publications
(26 citation statements)
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“…To mitigate this bias, we follow Altuntas et al. () by limiting the number of unique U.S. insurance companies in our sample to 42 percent of the total, as this corresponds to the average world market share of U.S. insurers throughout the course of the 2000–2012 period . We randomly select insurance companies from the universe of all U.S. insurers until the total number of U.S. insurers accounts for 42 percecnt of insurance companies in our sample, and we remove all other U.S. insurers from the data set .…”
Section: Methodsmentioning
confidence: 99%
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“…To mitigate this bias, we follow Altuntas et al. () by limiting the number of unique U.S. insurance companies in our sample to 42 percent of the total, as this corresponds to the average world market share of U.S. insurers throughout the course of the 2000–2012 period . We randomly select insurance companies from the universe of all U.S. insurers until the total number of U.S. insurers accounts for 42 percecnt of insurance companies in our sample, and we remove all other U.S. insurers from the data set .…”
Section: Methodsmentioning
confidence: 99%
“…Since our sample contains some countries with observations from just a few insurers, our results might also capture a firm‐ as opposed to country‐level effect in some cases. To ensure that our results are not driven by a small number of insurers from a given country, we drop countries with fewer than 50 firm–year observations from our sample (Altuntas et al., ; Altuntas and Rauch, ). For robustness, we repeat our analyses after excluding countries with fewer than 100 firm–year observations from our sample .…”
Section: Methodsmentioning
confidence: 99%
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