Methods for Multicountry Studies of Corporate Governance (and Evidence from the BRIKT Countries)

Bernard Black, A. de Carvalho, Vikramaditya S. Khanna, Woochan Kim, B. Yurtoglu
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引用次数: 23

Abstract

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” that 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 omitted variable bias.An expanded working paper version of this paper is available at http://ssrn.com/abstract=2359126, contains details on our governance indices and the five countries we study, and additional results, which were omitted from this paper for space reasons.A replication dataset, accompanying codebook, and replication statistical code for this article and the expanded working paper are available at http://ssrn.com/abstract=2503520
公司治理的跨国研究方法(以及来自英国联合王国的证据)
我们讨论了跨国公司层面公司治理对公司价值影响的实证挑战,重点关注新兴市场。我们评估了这些研究中的严重数据、“构建有效性”和内生性问题,提出了应对这些问题的方法,并将这些方法应用于对巴西、印度、韩国、俄罗斯和土耳其这五个主要新兴市场的研究。我们开发了关于每个国家治理的独特时间序列数据集。我们通过建立反映当地规范和制度的具体国家指数来解决结构有效性问题。这些相似但不相同的指数预测了每个国家的企业市值,并在企业固定效应(FE)和随机效应(RE)回归中汇总了各国的企业市值。相比之下,在每个国家使用相同元素的“共同指数”在FE回归中没有预测能力。对于特定国家和混合指标,治理的FE和RE系数通常低于混合OLS回归,并且广泛协变量的系数通常低于有限协变量的系数。这些结果证实了使用具有广泛协变量的FE或RE来减少遗漏变量偏差的价值。我们在我们的估计上建立了下界,反映了潜在的被忽略的变量偏差。本文的扩展工作文件版本可在http://ssrn.com/abstract=2359126上获得,其中包含我们的治理指数和我们研究的五个国家的详细信息,以及由于篇幅原因在本文中省略的其他结果。本文和扩展的工作文件的复制数据集、附带的代码本以及复制统计代码可在http://ssrn.com/abstract=2503520上获得
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