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.
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.
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.
This paper examines the hypothesis that the expected rate of return to speculation in the forward foreign exchange market is zero; that is, the logarithm of the forward exchange rate is the market's conditional expectation of the logarithm of the future spot rate. A new computationally tractable econometric methodology for examining restrictions on a k-step-ahead forecasting equation is employed. Using data sampled more finely than the forecast interval, we are able to reject the simple market efficiency hypothesis for exchange rates from the 1970s and the 1920s.
This article focuses on the formulation of a method to solve the joint consumption-portfolio problem. The formulation presented allows the author to distinguish between risk preferences and time preferences when determining optimal consumption and asset demand. Classic Fisherian two-period diagrammatics are generalized. Period-two risk preferences are assumed to be independent of first-period consumption. The set of consumption-portfolio optima is expanded consistently with utility maximization.
This paper presents a simple and computationally tractable method which recursively computes the stationary probabilities of the queue size in an M/G/1 queueing system with variable service rate. For each service two possible service types are available and the service rule is characterized by two switch-over levels. The computational approach discussed in this paper can be applied to a variety of queueing problems.
We consider a multiserver queueing system in which customers request service from a random number of identical servers. In contrast to batch arrival queues, customers cannot begin service until all required servers are available. Servers assigned to the same customer may free separately. For this model, we derive the steady-state distribution for waiting time, the distribution of busy servers, and other important measures. Sufficient conditions for the existence of a steady-state distribution are also obtained.
This paper assesses the ability of markets to convey information about firms to investors. The present system of disclosure rules has been restricted to historical data. Recently there have been proposals to bring predictive data—in particular, earnings forecasts—under the scope of a disclosure rule. Forecasts of future earnings are, at present, being provided by many corporate managements.
This paper considers undiscounted two-person, zero-sum sequential games with finite state and action spaces. Under conditions that guarantee the existence of stationary optimal strategies, we present two successive approximation methods for finding the optimal gain rate, a solution to the optimality equation, and for any ϵ > 0, ϵ-optimal policies for both players.
This paper establishes a rather complete optimality theory for the average cost semi-Markov decision model with a denumerable state space, compact metric action sets and unbounded one-step costs for the case where the underlying Markov chains have a single ergotic set.