New research from CBS Professor Harry Mamaysky reveals how negativity in the news and markets can escalate a financial crisis.
Adapted from “Global Value Chains in Developing Countries: A Relational Perspective from Coffee and Garments,” by Laura Boudreau of Columbia Business School, Julia Cajal Grossi of the Geneva Graduate Institute, and Rocco Macchiavello of the London School of Economics.
Adapted from “Online Advertising as Passive Search,” by Raluca M. Ursu of New York University Stern School of Business, Andrey Simonov of Columbia Business School, and Eunkyung An of New York University Stern School of Business.
This paper from Columbia Business School, “Meaning of Manual Labor Impedes Consumer Adoption of Autonomous Products,” explores marketing solutions to some consumers’ resistance towards autonomous products. The study was co-authored by Emanuel de Bellis of the University of St. Gallen, Gita Johar of Columbia Business School, and Nicola Poletti of Cada.
Co-authored by John B. Donaldson of Columbia Business School, “The Macroeconomics of Stakeholder Equilibria,” proposes a model for a purely private, mutually beneficial financial agreement between worker and firm that keeps decision-making in the hands of stockholders while improving the employment contract for employees.
At Columbia Business School, our faculty members are at the forefront of research in their respective fields, offering innovative ideas that directly impact the practice of business today. A quick glance at our publication on faculty research, CBS Insights, will give you a sense of the breadth and immediacy of the insight our professors provide.
As a student at the School, this will greatly enrich your education. In Columbia classrooms, you are at the cutting-edge of industry, studying the practices that others will later adopt and teach. As any business leader will tell you, in a competitive environment, being first puts you at a distinct advantage over your peers. Learn economic development from Ray Fisman, the Lambert Family Professor of Social Enterprise and a rising star in the field, or real estate from Chris Mayer, the Paul Milstein Professor of Real Estate, a renowned expert and frequent commentator on complex housing issues. This way, when you complete your degree, you'll be set up to succeed.
Columbia Business School in conjunction with the Office of the Dean provides its faculty, PhD students, and other research staff with resources and cutting edge tools and technology to help push the boundaries of business research.
Specifically, our goal is to seamlessly help faculty set up and execute their research programs. This includes, but is not limited to:
All these activities help to facilitate and streamline faculty research, and that of the doctoral students working with them.
We study a regulation in Chile that mandates warning labels on products whose sugar or caloric concentration exceeds certain thresholds.We show that consumers substitute from labeled to unlabeled products—a pattern mostly driven by products that consumers mistakenly believe to be healthy. On the supply side, we find substantial reformulation of products and bunching at the thresholds.
This paper analyzes the entire business registry of Colombia during 2015 to 2022, a period when Colombia received two million Venezuelan immigrants and refugees. We present two main findings. First, firms owned by foreigners, most of them Venezuelans, tend to be 10 to 20 percent more capitalized when founded, as compared to firms owned by locals within the same industry, geographic location, and year of registration. Second, while more intensive in capital, these firms owned by foreigners are just as likely to survive the first 2 and 3 years as firms owned by locals.
Big data is changing every corner of economics and finance. The largest firms in the US economy are valued chiefly for their data. Yet, these data are largely excluded from macroeconomic and finance research. We review work and relevant tools for measuring economic activity, market power, data markets, and the role of data in financial markets. We also highlight areas where future work is needed.
In light of the widely discussed political divide and increasing societal polarization, we investigate in this paper whether the polarization of political ideology extends to consumers’ preferences, intentions, and purchases. Using three different data sets—the publicly available social media data of over three million brand followerships of Twitter users, a YouGov brand-preference survey data set, and Nielsen scanner panel data—we assess the evolution of brand-preference polarization.
To study the impacts of NewYork’s 2018 Paid Family Leave (PFL) policy on employer outcomes, we designed and fielded a survey of small firms in NewYork and a control state, Pennsylvania, which does not have a PFL policy. We match each NY firm to a comparable PA firm and use difference-in-differences models to analyze within-match-pair changes in outcomes. Contrary to common concerns about the burdens of PFL on employers, we find no evidence that PFL had any adverse impacts on employer ratings of employee performance or their ease of handling long employee absences.
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).
After the global financial crisis, the yields of U.S. Treasury bills frequently exceed other risk-free rate benchmarks, thereby pointing to a diminishing convenience premium. Constructing a new measure of dealers’ balance sheet constraints for providing intermediation in U.S. Treasury markets, we trace these diminishing convenience premiums to primary dealers’ ability to act as intermediaries.
How does protecting the privacy of consumers affect the value of their personal data? We model an intermediary that uses consumers' data to influence the price set by a seller. When privacy is protected, consumers choose whether to disclose their data to the intermediary. When privacy is not protected, the intermediary can access consumers' data without their consent. We illustrate that protecting consumers' privacy has complex effects. It can increase the value of some consumers' data while decreasing that of others.
Why do dominant incumbents decline? Extant analyses of declining dominance largely focus on the erosion of technological bases of dominance. In contrast, our novel explanation focuses on the effect of geographic fragmentation on the erosion of demand-side barriers to entry and rise in strategic rivalry along the evolutionary path of the dominant incumbent’s growing industry.
This paper investigates the market consequences of sovereign accounting errors. Eurostat, a division of the European Commission, issues semiannual assessments of financial reports produced by the member states of the European Union (EU), and issues reservations that detail financial reporting errors when they have doubts on the quality of sovereign financial reporting.
Several firms claim to be socially responsible. We confront these claims with the data using the most notable such proclamation in recent years, the August 2019 Statement on the Purpose of a Corporation by the Business Roundtable (BRT). The BRT is a large, deeply influential business group containing many of America’s largest firms; the 2019 Statement proclaimed that a corporation’s purpose is to deliver value to all stakeholders, rather than to solely maximize shareholder value.
Past research shows that decision-makers discriminate against applicants with career breaks. Career breaks are common due to caring responsibilities, especially for working mothers, thereby leaving job seekers with employment gaps on their résumés.
Banks strategically choose and dynamically restructure deposits and nondeposit debt in response to the minimum requirements on total capital and tangible equity. We derive the optimal strategic liability structure and show that it minimizes the protection for deposits conditional on capital requirements. Although, given any liability structure, regulators can set capital requirements high enough to remove the incentive for risk substitution, the strategic response to the capital requirements always preserves this incentive.
This article reviews the evidence on the impacts of paid family and medical leave (PFML) policies on workers’ health, family well-being, and employer outcomes. While an extensive body of research demonstrates the mostly beneficial effects of PFML taken by new parents on infant, child, and parental health, less is known about its impact on employees who need leave to care for older children, adult family members, or elderly relatives. The evidence on employers is similarly limited but indicates that PFML does not impose major burdens on them.
Many e-commerce platforms use buyers' personal data to intermediate their transactions with sellers. How much value do such intermediaries derive from the data record of each single individual? We characterize this value and find that one of its key components is a novel externality between records, which arises when the intermediary pools some records to withhold the information they contain. Ignoring this can significantly bias the evaluations of data records.
Ninety-two percent of the 1348 North American executives we survey believe that improving corporate culture would increase firm value. A striking 84% believe their company needs to improve its culture. But how can that be achieved?
We show that the COVID-19 pandemic brought house price and rent declines in city centers, and price and rent increases away from the center, thereby flattening the bid-rent curve in most U.S. metropolitan areas. Across MSAs, the flattening of the bid-rent curve is larger when working from home is more prevalent, housing markets are more regulated, and supply is less elastic. Housing markets predict that urban rent growth will exceed suburban rent growth for the foreseeable future.
How does task expertise affect the allocation of attention?
The US entrepreneurial finance market has changed dramatically over the last two decades. Entrepreneurs who raise their first round of venture capital retain 30% more equity in their firm and are more likely to control their board of directors. Late-stage start-ups are raising larger amounts of capital in the private markets from a growing pool of traditional and new investors. These private market changes have coincided with a sharp decline in the number of firms going public—and when firms do go public, they are older and have raised more private capital.
Researchers and practitioners in marketing, economics, and public policy often use preference elicitation tasks to forecast realworld behaviors. These tasks typically ask a series of similarly structured questions.
We consider a finite-horizon multi-armed bandit (MAB) problem in a Bayesian setting, for which we propose an information relaxation sampling framework. With this framework, we define an intuitive family of control policies that include Thompson sampling (TS) and the Bayesian optimal policy as endpoints. Analogous to TS, which, at each decision epoch pulls an arm that is best with respect to the randomly sampled parameters, our algorithms sample entire future reward realizations and take the corresponding best action.
This paper studies product ranking mechanisms of a monopolistic online platform in the presence of social learning. The products’ quality is initially unknown, but consumers can sequentially learn it as online reviews accumulate. A salient aspect of our problem is that consumers, who want to purchase a product from a list of items displayed by the platform, incur a search cost while scrolling down the list. In this setting, the social learning dynamics, and hence the demand, is affected by the interplay of two unique features: substitution and ranking effects.
This article analyzes the hedging potential of real estate and especially looks at the impact of lease contracts in various countries around the world on the inflation hedge capability for both expected and unexpected inflation. The dataset consists of direct real estate rent and capital value data for 59 cities/MSAs in 25 countries between 1991 and 2020 to make international comparison over a long time period possible. The results indicate that real estate is a good hedge against inflation, and especially against unexpected inflation.
Moral hazards are ubiquitous. Green ones typically involve technological fixes: Environmentalists often see ‘technofixes’ as morally fraught because they absolve actors from taking more difficult steps toward systemic solutions. Carbon removal and especially solar geoengineering are only the latest example of such technologies. We here explore green moral hazards throughout American history. We argue that dismissing (solar) geoengineering on moral hazard grounds is often unproductive.
We developed a predictive statistical model to identify donor–recipient characteristics related to kidney graft survival in the Chilean population. Given the large number of potential predictors relative to the sample size, we implemented an automated variable selection mechanism that could be revised in future studies as more national data is collected. Materials and Methods: A retrospective multicenter study was conducted to analyze data from 822 adult kidney transplant recipients from adult donors between 1998 and 2018.
We study a fiscal policy model in which the government is present-biased towards public spending. Society chooses a fiscal rule to trade off the benefit of committing the government to not overspend against the benefit of granting it flexibility to react to privately observed shocks to the value of spending. Unlike prior work, we examine rules under limited enforcement: the government has full policy discretion and can only be incentivized to comply with a rule via the use of penalties which are joint and bounded. We show that optimal incentives must be bang-bang.
Introduction for Special Issue in Honor of Martin Weitzman.
Many organizations rely on formal management control systems that align employee values with organizational values (i.e., culture-fit) to shape organizational culture. Using proprietary data from a highly-decentralized organization, I examine the employee performance consequences of adopting a formal culture-fit measurement system in employee selection. I exploit the staggered feature of the adoption of the system, and find that employees selected with the system perform significantly better than those without the system.
We revisit the firm value and pricing implications of the negative screening of sin stocks. Unlike prior work, we find that institutional ownership and valuations related to sin stocks are not different from those of other stocks after controlling for differences in fundamentals between sin and non-sin stocks. Sin stocks do not differ in the likelihood of exiting the public market, the cost of raising new equity, and in the announcement returns around negative ESG news relative to non-sin stocks, casting further doubt on whether negative screening hurts sin stocks.
Emergency Departments (EDs) typically have multiple areas where patients of different acuity levels receive treatments. In practice, different areas often operate with fixed nurse staffing levels. When there are substantial imbalances in congestion among different areas, it could be beneficial to deviate from the original assignment and reassign nurses. However, reassignments typically are only feasible at the beginning of 8-12-hour shifts, providing partial flexibility in adjusting staffing levels.
Recently, defaults have become celebrated as a low-cost and easy-to-implement nudge for promoting positive outcomes, both at an individual and societal level. In the present research, we conducted a large-scale field experiment (N = 32,508) in an educational context to test the effectiveness of a default intervention in promoting participation in a potentially beneficial achievement test. We found that a default manipulation increased the rate at which high school students registered to take the test but failed to produce a significant change in students’ actual rate of test-taking.
This paper recasts the consumption asset pricing model in terms of observable accounting outcomes by recognizing accounting principles that connect those outcomes to consumption and the risk to consumption. The model prompts the construction of a pricing factor from observed accounting information. The factor performs well relative to extant factors in explaining cross-sectional returns. Further, it delivers out-of-sample expected returns that forecast the actual returns and the forward betas that investors actually experience.
Performance expectations are revisited pertaining to particular corporate strategies that were highlighted by Rumelt (1974). In particular, suggestions regarding expectations about conglomerate enterprises, vertical integration, and mature- or declining-demand businesses are offered in light of additional information about research findings and observed industry phenomena that are at odds with information available when Rumelt's (1974) study of diversification was performed.
This paper focuses on teaching the application of anthropology in business to marketing students. It begins with the premise that consumer marketers have long used ethnography as a component of their qualitative market research toolkit to inform their knowledge about and empathy for consumers. A question for market research educators who include ethnography in their curricula is if and how to teach the richness of anthropologically based approaches, especially given a decoupling of ethnographic method from anthropological theory in much consumer research practice.
As financial technology improves and data becomes more abundant, do market prices reflect this growing information and allocate capital more efficiently? While a number of recent studies have documented rises in aggregate price efficiency, we show that there are large cross-sectional differences. The previously-documented increases are driven by a rise in the informativeness of large, growth stocks. The informational efficiency of smaller assets' prices or prices of assets with less growth potential are either flat or declining.
By integrating the intersectional invisibility hypothesis with the behaviors from intergroup affect and stereotypes map framework, we examine the extent to which Black women’s dual-subordinated identities render them nonprototypical victims of discrimination, relative to White women and Black men, and the corresponding consequences.
Housing affordability has become the main policy challenge for most large cities in the world. Zoning, rent control, housing vouchers, and tax credits are the main levers employed by policy makers. We build a new dynamic stochastic spatial equilibrium model to evaluate the effect of these policies on house prices, rents, residential construction, labor supply, output, income and wealth inequality, as well as the location decision of households within the city. The analysis incorporates risk, wealth effects, and resident landlords.
We use supervisory loan-level data to document that small firms (SMEs) obtain shorter maturity credit lines than large firms, post more collateral, have higher utilization rates, and pay higher spreads. We rationalize these facts as the equilibrium outcome of a trade-off between lender commitment and discretion. Using the COVID recession, we test the prediction that SMEs are subject to greater lender discretion. Consistent with this hypothesis, SMEs did not draw down whereas large firms did, even in response to similar demand shocks.
We examine the ability of existing and new factor models to explain the comovements of G10-currency changes. Extant currency factors include the carry, volatility, value, and momentum factors. Using a new clustering technique, we find a clear two-block structure in currency comovements with the first block containing mostly the dollar currencies, and the other the European currencies.