Congressional Hearing: Columbia University’s Response to Antisemitism
Watch Now as Richman Center Co-Director David M. Schizer testifies before the House Committee on Education.
Watch Now as Richman Center Co-Director David M. Schizer testifies before the House Committee on Education.
Columbia Business School Study Finds Difference between Men and Women’s Attitudes Toward Their Jobs
The Theodora Rutherford Inclusion Award celebrates CBS students who are committed to diverse experiences and inclusive leadership.
In-group bias can be detrimental for communities and economic development. We study the causal effect of financial constraints on in-group bias in prosocial behaviors – cooperation, norm enforcement, and sharing – among low-income rice farmers in rural Thailand, who cultivate and harvest rice once a year. We use a between-subjects design – randomly assigning participants to experiments either before harvest (more financially constrained) or after harvest. Farmers interacted with a partner either from their own village (in-group) or from another village (out-group).
This paper shows that providing undocumented immigrants with an immigration pardon, or amnesty, increases their economic activity in the form of higher entrepreneurship. Using administrative census data linked to the complete formal business registry, we study a 2018 policy shift in Colombia that made nearly half a million Venezuelan undocumented migrants eligible for a pardon. Our identification uses quasi-random variation in the amount of time available to get the pardon, introducing a novel regression discontinuity approach to study this policy.
Diversity initiatives are designed to help workers from disadvantaged backgrounds achieve equitable opportunities and outcomes in organizations. However, these programs are often ineffective. To better understand less-than-desired outcomes and the shifting diversity landscape, we synthesize literature on how corporate affirmative action programs became diversity initiatives and current literature on their effectiveness. We focus specifically on work dealing with mechanisms that make diversity initiatives effective as well as their unintended consequences.
Read the compelling op-ed by David Schizer, Dean Emeritus at Columbia Law School and Co-Director of the Richard Paul Richman Center for Business, Law, and Public Policy. In this piece, Professor Schizer discusses the rise of antisemitism at Columbia University and outlines the proactive steps the university is taking to combat it.
David M. Schizer served as a dean of the Law School from 2004 to 2014 and is one of the nation’s leading tax scholars. His research also focuses on nonprofits, energy law, and corporate governance.
Ashli Carter is a Lecturer in the Management Division at Columbia Business School. Currently, she teaches topics in leadership, negotiations, and cultivating a growth mindset in the MBA and Executive Education programs, as well as for CBS administrators and staff. Prior to joining CBS faculty, she taught MBA and undergraduate courses in leadership and professional ethics at NYU Stern where she was an Assistant Professor/Faculty Fellow of Management and Organizations.
Wei Cai joined Columbia University in 2020. Her research interests revolve around management accounting, organizational culture, and diversity and inclusion. Her research broadly investigates how to measure and manage key organizational capital. For example, she examines how corporate leaders and managers can deliberately design and shape organizational culture, and improve organizational outcomes through innovative management control systems. She uses multiple research methods including statistical analyses of archival data sources, field experiments, and surveys.
Michael Ewens is the David L. and Elsie M. Dodd Professor of Finance and co-director of the Private Equity Program. He is also a Research Associate at the National Bureau of Economic Research (NBER), Associate Editor of the Journal of Financial Economics, Associate Editor at the Review of Financial Studies, Assoicate Editor at Management Science, Associate Editor at the Journal of Corporate Finance, and co-editor of the Journal of Economics & Management Strategy. He received a Ph.D.
Adam Galinsky is the Vice Dean for Diversity, Equity and Inclusion and Paul Calello Professor of Leadership and Ethics at the Columbia Business School.
Professor Galinsky has published more than 300 scientific articles, chapters, and teaching cases in the fields of management and social psychology. His research and teaching focus on leadership, negotiations, diversity, decision-making, and ethics.
Using publicly available data from 299 pre-registered replications from the social sciences, we find that the language used to describe a study can predict its replicability above and beyond a large set of controls related to the paper characteristics, study design and results, author information, and replication effort. To understand why, we analyze the textual differences between replicable and nonreplicable studies.
Using publicly available data from 299 pre-registered replications from the social sciences, we find that the language used to describe a study can predict its replicability above and beyond a large set of controls related to the paper characteristics, study design and results, author information, and replication effort. To understand why, we analyze the textual differences between replicable and nonreplicable studies.
Constituency mobilization is a widely prevalent corporate political strategy, yet we lack systematic evidence on the scope of its effectiveness. One emerging form of constituency mobilization is user mobilization, wherein a company focuses on rallying political support among its users. This approach differs from traditional lobbying, which relies on tightly controlled insider strategies to exert influence over lawmakers. In our study of user mobilization by platform-based companies in the U.S.
We develop a financial-economic model for carbon pricing with an explicit representation of decision making under risk and uncertainty that is consistent with the Intergovernmental Panel on Climate Change’s sixth assessment report. We show that risk associated with high damages in the long term leads to stringent mitigation of carbon dioxide emissions in the near term, and find that this approach provides economic support for stringent warming targets across a variety of specifications.
We consider a New Keynesian model with strategic monetary and fiscal interactions. The fiscal authority maximizes social welfare. Monetary policy is delegated to a central bank with an anti-inflation bias that suffers from a lack of commitment. The impact of central bank hawkishness on debt issuance is non-monotonic because increased
We consider a New Keynesian model with strategic monetary and fiscal interactions. The fiscal authority maximizes social welfare. Monetary policy is delegated to a central bank with an anti-inflation bias that suffers from a lack of commitment. The impact of central bank hawkishness on debt issuance is non-monotonic because increased
The United States recently passed major federal laws supporting the energy transition, and analyses suggest that their successful implementation could reduce US emissions more than 40% below 2005 levels by 2030. However, achieving maximal emissions reductions would require frictionless supply and demand responses to the laws’ incentives and implementation that avoids polarization and efforts to repeal or undercut them. In this Perspective, we discuss some of these supply, demand and polarization challenges.
‘Moral hazard’ links geoengineering to mitigation via the fear that either solar geoengineering (solar radiation management, SRM) or carbon dioxide removal (CDR) might crowd out the desire to cut emissions. Fear of this crowding-out effect ranks among the most frequently cited risks of (solar) geoengineering. We here test moral hazard versus its inverse in a large-scale, revealed-preference experiment (n~340,000) on Facebook and find little to no support for either outcome. For the most part, talking about SRM or CDR does not motivate our study population to support a large U.S.
In this paper, we develop a computational measure of the firm-level rhetorical nationalism. We first review the literature and develop a four-dimensional theoretical framework of nationalism relevant to firms: national pride, anti-foreign, dominant agenda, and corporate role. We then use machine-learning-based text analysis of over 41,000 annual reports of Chinese public firms from 2000 to 2020 and identify a dictionary of words for each dimension.