Latest on Leadership & Organizational Behavior
Avoiding Red Tape: Nascent Industries Forge New Pathways Amidst Regulatory Challenges
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The Redistributive Effects of AI on Profits and Politics
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Ray Dalio Looks to the Past to Predict the Future
Suzanne Nossel: Dare to Speak
The Six New Rules of Business: Creating Real Value in a Changing World With Judy Samuelson
Increasing Headcount: Companies that Invest in AI are Adding Jobs
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Building Resilience as Woman Entrepreneur
Leadership Faculty
CBS Faculty Research on Leadership & Organizational Behavior
The Financial Benefits of Persistently High Forward Citations
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Kathryn Harrigan and Y. Fang
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- January 1, 2020
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Journal Article
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- The Journal of Technology Transfer
We explored the balance between societal benefits that negatively affect firms' financial performance by eroding their competitive advantage and positive effects that enhanced their reputations as technological leaders to study the effects of forward citations upon firms' financial performance.
Team Incentives and Bonus Floors in Relational Contracts
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Jonathan Glover and Hao Xue
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- January 1, 2020
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Journal Article
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- The Accounting Review
Teamwork and team incentives are increasingly prevalent in modern organizations. Performance measures used to evaluate individuals' contributions to teamwork are often non-verifiable. We study a principal-multi-agent model of relational (self-enforcing) contracts in which the optimal contract resembles a bonus pool. It specifies a minimum joint bonus floor the principal is required to pay out to the agents, and gives the principal discretion to use non-verifiable performance measures to both increase the size of the pool and to allocate the pool to the agents.
Algorithmic Social Engineering
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Bo Cowgill and M. Stevenson
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- Forthcoming
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Newspaper/Magazine Article
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- American Economic Association Papers and Proceedings
We examine the microeconomics of using algorithms to nudge decision-makers towards particular social outcomes. We refer to this as "algorithmic social engineering." In this article, we apply classic strategic communication models to this strategy. Manipulating predictions to express policy preferences strips the predictions of informational content and can lead decision-makers to ignore them. When social problems stem from decision-makers’ objectives (rather than their information sets), algorithmic social engineering exhibits clear limitations.
Taking the Cochrane-Piazzesi Term Structure Model Out of Sample: More Data, Additional Currencies, and FX Implications
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Robert Hodrick and Tuomas Tomunen
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- Forthcoming
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Newspaper/Magazine Article
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- Critical Finance Review
We examine the statistical term structure model of Cochrane and Piazzesi (2005) and its affine counterpart, developed in Cochrane and Piazzesi (2008), in several out-of-sample analyzes. The model's one-factor forecasting structure characterizes the term structures of additional currencies in samples ending in 2003. In post-2003 data one-factor structures again characterize each currency's term structure, but we reject equality of the coefficients across the two samples.
Gender in the Labor Market: The Role of Equal Opportunity and Family-Friendly Policies
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- December 1, 2019
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Journal Article
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- RSF: The Russell Sage Foundation Journal of the Social Sciences
Although the gender wage gap in the U.S. has narrowed, women's career trajectories diverge from men's after the birth of children, suggesting a potential role for family-friendly policies. We provide new evidence on employer provision of these policies. Using the American Time Use Survey, we find that women are less likely than men to have access to any employer-provided paid leave and this differential is entirely explained by part-time status. Using the NLSY97, we find that young women are more likely to have access to specifically designated paid parental leave, even in part-time jobs.
Investment under Uncertainty and the Value of Real and Financial Flexibility
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- November 1, 2019
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Journal Article
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- Journal of Economic Theory
We develop a model of investment timing under uncertainty for a financially constrained firm. Facing external financing costs, the firm prefers to fund its investment through internal funds, so that the firm's optimal investment policy and value depend on both its earnings fundamentals and liquidity holdings. We show that financial constraints significantly alter the standard real options results, with the financial flexibility conferred by internal funds acting as a complement, and at times as a substitute, to the real flexibility given by the optimal timing of investment.
Economic Consequences of the AOCI Filter Removal for Advanced Approaches Banks
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- November 1, 2019
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Journal Article
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- The Accounting Review
We examine economic consequences of US bank regulators' phased removal of the prudential filter for accumulated other comprehensive income for advanced approaches banks beginning on January 1, 2014. The primary effect of the AOCI filter is to exclude unrealized gains and losses on available-for-sale securities from banks' regulatory capital.
Data and the Aggregate Economy
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Cindy Chung and Laura Veldkamp
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- Forthcoming
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Journal Article
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- Journal of Economic Literature
Over the past decade, data has transformed everyday life. While it has changed the way people shop and businesses operate (Goldfarb and Tucker, 2019), it has only just begun to permeate economists thinking about the aggregate economy. In the early twentieth century, economists like Schultz (1943) analyzed agrarian economies and land-use issues. As agricultural productivity improved, production shifted more to manufacturing. Modern macroeconomics adapted with models featuring capital and labor, markets for goods, and equilibrium wages (Solow, 1956).
How News and Its Context Drive Risk and Returns Around the World
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- August 1, 2019
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Journal Article
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- Journal of Financial Economics
We develop a classification methodology for the context and content of news articles to predict risk and return in stock markets in 51 developed and emerging economies. A parsimonious summary of news, including topic-specific sentiment, frequency, and unusualness (entropy) of word flow, predicts future country-level returns, volatilities, and drawdowns. Economic and statistical significance are high and larger for year-ahead than monthly predictions. The effect of news measures on market outcomes differs by country type and over time.