TY - JOUR
T1 - Methods for multicountry studies of corporate governance
T2 - Evidence from the BRIKT countries
AU - Black, Bernard
AU - De Carvalho, Antonio Gledson
AU - Khanna, Vikramaditya
AU - Kim, Woochan
AU - Yurtoglu, Burcin
N1 - Funding Information:
We thank the Journal of Econometrics special editor, two anonymous referees, Vladimir Atanasov, Stijn Claessens, Art Durnev, Zev Eigen, Howell Jackson, Louis Kaplow, Mitchell Petersen, and Elie Tamer for comments and suggestions, Harun Akbas, Humberto Gallucci, Pranav Garg, Lorena Keller, Terence Leong, Joelson Sampaio, and Ben Thompson for research assistance; and Northwestern and Michigan Law Schools, Asian Institute of Corporate Governance, Corporate Governance Forum of Turkey at Sabanci University (Istanbul), WHU — Otto Beisheim School of Management, and the International Finance Corporation for financial support. We are grateful to the Bovespa stockmarket, the Brazilian Comissao de Valores Mobiliarios, the Instituto Brasileiro de Governança Corporativa, the (Indian) National Stock Exchange and Bombay Stock Exchange, and the Indian Institute of Management, Bangalore, for supporting our survey efforts, and the Korea Corporate Governance Service for providing their survey results to us. Our datasets from Korea, Russia, and Turkey and replication statistical code will be posted on the Social Science Research Network at www.ssrn.com and linked to the expanded working paper version of this article at http://ssrn.com/abstract=2359126 . The Brazilian, Indian, and pooled datasets are available from the authors to researchers who agree to maintain the needed confidentiality.
Publisher Copyright:
© 2014 Elsevier B.V. All rights reserved.
Copyright:
Copyright 2019 Elsevier B.V., All rights reserved.
PY - 2014
Y1 - 2014
N2 - 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 countryspecific 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.
AB - 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 countryspecific 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.
KW - Boards of directors
KW - Brazil
KW - Corporate governance
KW - Disclosure
KW - India
KW - Korea
KW - Russia
KW - Sensitivity bounds
KW - Shareholder rights
KW - Turkey
UR - http://www.scopus.com/inward/record.url?scp=84922703025&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84922703025&partnerID=8YFLogxK
U2 - 10.1016/j.jeconom.2014.05.013
DO - 10.1016/j.jeconom.2014.05.013
M3 - Article
AN - SCOPUS:84922703025
SN - 0304-4076
VL - 183
SP - 230
EP - 240
JO - Journal of Econometrics
JF - Journal of Econometrics
IS - 2
ER -