Methods for multicountry studies of corporate governance: Evidence from the BRIKT countries

被引:52
作者
Black, Bernard [1 ,2 ]
de Carvalho, Antonio Gledson [3 ]
Khanna, Vikramaditya [4 ]
Kim, Woochan [5 ]
Yurtoglu, Burcin [6 ]
机构
[1] Northwestern Univ, Sch Law, Evanston, IL 60208 USA
[2] JL Kellogg Grad Sch Management, Evanston, IL USA
[3] Fundacao Getulio Vargas, Sch Business, Sao Paulo, Brazil
[4] Univ Michigan, Sch Law, Ann Arbor, MI 48109 USA
[5] Korea Univ, Sch Business, Seoul, South Korea
[6] WHU Otto Beisheim Sch Management, Dusseldorf, Germany
关键词
Brazil; Korea; India; Russia; Turkey; Corporate governance; Boards of directors; Disclosure; Shareholder rights; Sensitivity bounds; EMERGING MARKETS; FIRMS; FINANCE; KOREA; US;
D O I
10.1016/j.jeconom.2014.05.013
中图分类号
F [经济];
学科分类号
02 ;
摘要
We discuss empirical challenges in multicountry studies of the effects of firm-level corporate governance on firm value, focusing on emerging markets. We assess the severe data, "construct validity", and endogeneity issues in these studies, propose methods to respond to those issues, and apply those methods to a study of five major emerging markets Brazil, India, Korea, Russia, and Turkey. We develop unique time-series datasets on governance in each country. We address construct validity by building country-specific indices which reflect local norms and institutions. These similar-but-not-identical indices predict firm market value in each country, and when pooled across countries, in firm fixed-effects (FE) and random-effects (RE) regressions. In contrast, a "common index", which uses the same elements in each country, has no predictive power in FE regressions. For the country-specific and pooled indices, FE and RE coefficients on governance are generally lower than in pooled OLS regressions, and coefficients with extensive covariates are generally lower than with limited covariates. These results confirm the value of using FE or RE with extensive covariates to reduce omitted variable bias. We develop lower bounds on our estimates which reflect potential remaining omitted variable bias, (C) 2014 Elsevier B.V. All rights reserved.
引用
收藏
页码:230 / 240
页数:11
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