2014
DOI: 10.1016/j.jeconom.2014.05.013
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Methods for multicountry studies of corporate governance: Evidence from the BRIKT countries

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Cited by 68 publications
(30 citation statements)
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“…Instrumental variables might also be used to control for endogeneity. Nevertheless, in a multi-country setting like this study, it is difficult to find out a free of endogeneity or purely exogenous shock that affects all the countries in our sample to the same extent as stated by Black et al (2014). Likewise, Larcker and Rusticus (2010) indicate that when the instrument is only weakly correlated with the regressor, the instrumental variable methods can produce highly biased estimates when the instrumental variable is even slightly endogenous.…”
Section: Resultsmentioning
confidence: 73%
“…Instrumental variables might also be used to control for endogeneity. Nevertheless, in a multi-country setting like this study, it is difficult to find out a free of endogeneity or purely exogenous shock that affects all the countries in our sample to the same extent as stated by Black et al (2014). Likewise, Larcker and Rusticus (2010) indicate that when the instrument is only weakly correlated with the regressor, the instrumental variable methods can produce highly biased estimates when the instrumental variable is even slightly endogenous.…”
Section: Resultsmentioning
confidence: 73%
“…Leuz, Nanda, & Wysocki, ), exploring legal origins and other factors to understand the differences that exist. However, Black, De Carvalho, Khanna, Kim, and Yurtoglu () identify three limitations in multi‐country studies: construct validity, lack of time series data and endogeneity. We resolve construct validity by designing our study to examine one country from two contrasting markets, developed and emerging.…”
Section: Choice Of a Two‐country Settingmentioning
confidence: 99%
“…However, finance literature has still faced difficulties to assess which variables affect the development of CG in firms. Black et al (2014) discussed the difficulty of finding country-level variables common to all countries, analysing the BRIKTs (Brazil, Russia, India, Korea and Turkey). Black et al (2014) pointed out how specific country-level variables can predict firm value, but they highlighted how difficult it is to obtain elements common to all.…”
Section: Introductionmentioning
confidence: 99%
“…Black et al (2014) discussed the difficulty of finding country-level variables common to all countries, analysing the BRIKTs (Brazil, Russia, India, Korea and Turkey). Black et al (2014) pointed out how specific country-level variables can predict firm value, but they highlighted how difficult it is to obtain elements common to all. Hofstede proposed a model that assigns values to cultural dimensions, which enabled the development of several quantitative studies involving countries' cultural aspects.…”
Section: Introductionmentioning
confidence: 99%