Gender and the Workplace: New Research Finds Women Are More Likely to Pursue Meaningful Work
Columbia Business School Study Finds Difference between Men and Women’s Attitudes Toward Their Jobs
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.
Six Studies Address Key Topics Crucial for Enhancing Outcomes for Women in Business
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.
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.
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.
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.
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.
This paper discusses the structural equations, forecasting properties, dynamic characteristics, and economic policy implications of a quarterly econometric model of U.S. livestock and feedgrain markets. Quarterly, semi-annual, and annual endogenous variables are incorporated by allowing individual structural equations to be estimated and to enter into the solution of the model with different periodicities. Commodity prices are determined by market equilibrium conditions rather than by autoregressive and other time-series techniques.
This paper discusses the structural equations, forecasting properties, dynamic characteristics, and economic policy implications of a quarterly econometric model of U.S. livestock and feedgrain markets. Quarterly, semi-annual, and annual endogenous variables are incorporated by allowing individual structural equations to be estimated and to enter into the solution of the model with different periodicities. Commodity prices are determined by market equilibrium conditions rather than by autoregressive and other time-series techniques.
This paper considers undiscounted Markov decision problems. With no restriction (on either the periodicity or chain structure of the problem) we show that the value iteration method for finding maximal gain policies exhibits a geometric rate of convergence, whenever convergence occurs. In addition, we study the behaviour of the value-iteration operator; we give bounds for the number of steps needed for contraction, describe the ultimate behaviour of the convergence factor and give conditions for the existence of a uniform convergence rate.
Consumer information programs can be more effective if they are conceived within a marketing framework which views consumer information as a product to be marketed. A methodology is outlined which can assist consumer information program developers in identifying information needs from the consumer's point of view, rather than the policy maker's.
This paper is concerned with the effects of capital risk on optimal individual savings decisions in a simple two-period setting. We investigate the respective roles played by risk and time preferences in answering the following related questions: Q1: Will savings increase, remain constant or decrease in response to an increase in capital risk? Q2: Is optimal saving in the presence of capital risk greater than, equal to or less than optimal saving in the certainty case where the rate of return equals the mean (uncertain) return?
This paper studies economic policy toward feed grain and livestock markets by applying optimal control theory to a quarterly microeconometric model.
This paper studies economic policy toward feed grain and livestock markets by applying optimal control theory to a quarterly microeconometric model.
In this paper we consider a set of denumerable stochastic matrices where the paramter set is a compact metric space. We give a number of simultaneous recurrence conditions on the stochastic matrices and establish equivalences between these conditions. The results obtained generalize corresponding results in Markov chain theory to a considerable extent and have applications in stochastic control problems.
A global portrait of the phase plane for a fishery model is obtained for any acceptable values of the parameters. Three different structures of the phase plane are recovered. The first predicts an eventual collapse of the fishery. The second predicts an unstable limit cycle and an eventual stability of solutions which start inside the limit cycle. The last structure predicts two possible stable equilibria, one with high catch rate, and the other with no catch. Each structure corresponds to a different domain in the parameter space.
This paper investigates the solutions to the functional equations that arise inter alia in Undiscounted Markov Renewal Programming. We show that the solution set is a connected, though possibly nonconvex set whose members are unique up to the n* constants, characterize n* and show that some of these n* degrees of freedom are locally rather than globally independent.