How to Jump-Start the Global Supply Chain
How to Jump-Start the Global Supply Chain
How to Jump-Start the Global Supply Chain
There is a large body of work that documents a strong, positive correlation between education and measures of health, but little is known about the mechanisms by which education might affect health. One possibility is that more educated individuals are more likely to adopt new medical technologies. We investigate this theory by asking whether more educated people are more likely to use newer drugs, while controlling for other individual characteristics, such as income and insurance status.
This paper describes a practical algorithm based on Monte Carlo simulation for the pricing of multi-dimensional American (i.e., continuously exercisable) and Bermudan (i.e., discretely-exercisable) options. The method generates both lower and upper bounds for the Bermudan option price and hence gives valid confidence intervals for the true value. Lower bounds can be generated using any number of primal algorithms.
No one has derived closed-form solutions for consumption with stochastic labor income and constant relative risk aversion utility. A numerical technique is used here to give an accurate approximation to the solution. The resulting consumption function is often dramatically different than the certainty equivalence solution typically used, in which consumption is proportional to the sum of financial wealth and the present value of expected future income.
Professor Tania Babina joined the Columbia Business School in 2016. She received a Ph.D. from the Kenan-Flagler Business School at the University of North Carolina. Her research is at the juncture of corporate finance, labor economics, and entrepreneurship. More broadly, she studies inter-relationship between human capital and firm investment, financing, and organizational choices. Her current research explores drivers of entrepreneurship and factors predicting entrepreneurial success. Long-term, she seeks to understand how human capital affects the nature of a firm and firm boundaries.
Lisa Yao Liu joined Columbia University in 2020. Her research interests include regulation and enforcement, information disclosure, auditing, technology, and innovation. Professor Liu uses different research methods including empirical archival methods, structural estimation, and field survey and interviews. Her research has been presented at leading conferences and published in the Journal of Accounting and Economics and the Journal of Accounting Research.
Hortense Fong uses machine learning, econometric, and experimental methods to study how emotions impact consumer behavior. A distinguishing feature of her interests involves going beyond ML’s use in prediction to study how to incorporate domain-specific theoretic and managerial knowledge into ML systems and make them more interpretable. She also has a broader interest in questions at the interface of marketing and society (e.g., fairness).
With nearly 90 academic publications, over 50 students, half a dozen patents, and nearly 10 million online followers, Moran Cerf is one of the leaders in the research and applications of neuroscience in business.
Cerf holds a PhD in neuroscience (Caltech), an MA in Philosophy, and a BSc in Physics (Tel-Aviv University. He has taught leadership and marketing at NYU and the Kellogg School of Management, where he was a professor of neuroscience and business for nearly a decade.
Ciamac C. Moallemi is the William Von Mueffling Professor of Business in the Decision, Risk, and Operations Division of the Graduate School of Business at Columbia University, where he has been since 2007. He also develops quantitative trading strategies at Bourbaki LLC, a quantitative investment advisor. A high school dropout, he received S.B. degrees in Electrical Engineering & Computer Science and in Mathematics from the Massachusetts Institute of Technology (1996).
Dan Wang is Lambert Family Associate Professor of Business and (by courtesy) Sociology at Columbia Business School, where he is also the Co-Director of the Tamer Center for Social Enterprise. His research examines how social networks drive social and economic transformation through the analysis of global migration, social movements, organizational innovation, and entrepreneurship. He teaches the core MBA Strategy Formulation course, an elective MBA course on Technology Strategy, a PhD seminar on Organizational Theory.
Will Ma is an Associate Professor of Decision, Risk, and Operations at Columbia Business School. During 2018-2019, he was a postdoctoral researcher at Google. He received his Ph.D. in 2018 from the MIT Operations Research Center, advised by David Simchi-Levi. His research is primarily focused on Revenue Management, building data-driven models to help e-tailers coordinate their product recommendation decisions with their supply chain constraints.
Jing Dong is the DeRosa Family Associate Professor in the Decision, Risk, and Operations division at the Graduate School of Business, Columbia University. Her primary research interests are in applied probability and stochastic simulation, with an emphasis on applications in service operations management. Her current research focuses on developing data-driven stochastic modeling to improve patient flow in hospitals.
Professor Netzer's expertise centers on one of the major business challenges of the data-rich environment: developing quantitative methods that leverage data to gain a deeper understanding of customer behavior and guide firms' decisions. He focuses primarily on building statistical and econometric models to measure consumer preferences and understand how customer choices change over time, and across contexts. Most notably, he has developed a framework for managing firms' customer bases through dynamic segmentation.
Dan joined the Decision, Risk, and Operations division of the Columbia Business School in Summer 2017. He teaches a core MBA course on statistics and a PhD course on dynamic optimization. His research lies at the intersection of statistical machine learning and online decision making, mostly falling under the broad umbrella of reinforcement learning. Outside academia, he works with Spotify to apply reinforcement learning style models to audio recommendations.
Farah is an Adjunct Assistant Professor of Business at Columbia Business School. She teaches an a Product Management course with a focus on AI and Data products. Farah is also a founder at Dioptra, a legal tech startup backed by YCombinator.
Before that, she held different ML and PM roles at Spotify, Argo, and ZS Associates. She received her MS in Operations Research from Columbia Engineering School and another MS in Engineering from Centrale Nantes.
Malek Ben Sliman is an Adjunct Assistant Professor of Business at Columbia Business School in the Marketing Department. Malek’s research interests lie in the application of machine learning, computer vision and NLP tools in the context of art valuation, social networks, marketing analytics and online retailing.
Stijn Van Nieuwerburgh is the Earle W. Kazis and Benjamin Schore Professor of Real Estate and Professor of Finance at Columbia University’s Graduate School of Business, which he joined in July 2018. His research lies in the intersection of housing, asset pricing, and macroeconomics. One strand of his work studies how financial market liberalization in the mortgage market relaxed households' down payment constraints, and how that affected the macro-economy, and the prices of stocks and bonds.
Shiva Rajgopal is the Kester and Byrnes Professor of Accounting and Auditing at Columbia Business School. He has also been a faculty member at the Duke University, Emory University and the University of Washington. Professor Rajgopal’s research interests span financial reporting, earnings quality, fraud, executive compensation and corporate culture. His research is frequently cited in the popular press, including The Wall Street Journal, The New York Times, Bloomberg, Fortune, Forbes, Financial Times, Business Week, and the Economist.
Professor of Economics and Garrett Professor of Public Policy and Business Responsibility, emeritus. Director of the Columbia Institute for Tele-Information, a research center focusing on management and policy issues in telecommunications, internet, and electronic mass media. Served as Public Services Commissioner of New York State. Appointed by the White House to the President’s IT Advisory Committee. Also taught at Columbia Law School, Princeton University’s Economics Department and Woodrow Wilson School, and the Swiss universities of St. Gallen and Fribourg.
Mark A. Cohen has been in the retail business since his graduation from Columbia University in 1971. (MBA '71, BS Electrical Engineering '69) He has over 20 years experience in president/chairman, chief executive officer level positions. Most recently he was Chairman/CEO of Sears Canada Inc, Chief Marketing Officer and President of Softlines of Sears Roebuck & Co., Chairman/CEO of Bradlees Inc., and Chairman/CEO of Lazarus Department Stores. He has also held positions with Abraham & Strauss, The Gap, Lord Taylor, Mervyn's and Goldsmith's Department Stores.
Many employers expect workers to be proficient in a host of tech tools. Among them: data analysis, online collaboration and project management.
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.
The Nobel Prize-winning economist visited CBS for the first installment of a new speaker series from The Hub, a new think tank, to discuss the future of capitalism with CBS Dean Emeritus Glenn Hubbard.
Western consumers and governments are increasingly demanding that goods produced overseas be manufactured under safe working conditions.