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Show Results For
- All HBS Web
(2,955)
- People (2)
- News (729)
- Research (1,670)
- Events (13)
- Multimedia (16)
- Faculty Publications (844)
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- June 2012
- Article
Consequence-Cause Matching: Looking to the Consequences of Events to Infer Their Causes
By: Robyn A. LeBoeuf and Michael I. Norton
We show that people non-normatively infer event causes from event consequences. For example, people inferred that a product failure (computer crash) had a large cause (widespread computer virus) if it had a large consequence (job loss), but that the identical failure... View Details
LeBoeuf, Robyn A., and Michael I. Norton. "Consequence-Cause Matching: Looking to the Consequences of Events to Infer Their Causes." Journal of Consumer Research 39, no. 1 (June 2012): 128–141.
- 2023
- Article
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations.
By: Edward McFowland III and Cosma Rohilla Shalizi
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore its... View Details
Keywords: Causal Inference; Homophily; Social Networks; Peer Influence; Social and Collaborative Networks; Power and Influence; Mathematical Methods
McFowland III, Edward, and Cosma Rohilla Shalizi. "Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations." Journal of the American Statistical Association 118, no. 541 (2023): 707–718.
- 2014
- Book
Business History
By: Walter A. Friedman and Geoffrey Jones
This volume contains a selection of 42 foundational articles on the discipline of business history written between 1934 and the present day by scholars based in the United States, Europe, Asia, and Latin America. A wide-ranging editorial introduction describes the... View Details
Friedman, Walter A. and Geoffrey Jones, eds. Business History. Northampton, MA: Edward Elgar Publishing, 2014.
- 26 Nov 2013
- News
Inference for Proportions
- June 2024
- Article
Oral History and Business History in Emerging Markets
By: Geoffrey Jones
This article describes the motivation, structure and use of the Creating Emerging Markets (CEM) oral history-based project at the Harvard Business School. The project consists of lengthy interviews with business leaders from emerging markets. By June 2024 183... View Details
Jones, Geoffrey. "Oral History and Business History in Emerging Markets." Investigaciones de historia económica 20, no. 2 (June 2024): 1–4.
- Article
The Future of Economic, Business, and Social History
By: G. Jones, Marco H.D. van Leeuwen and Stephen Broadberry
Three leading scholars in the fields of business, economic, and social history review the current state of these disciplines and reflect on their future trajectory. Geoffrey Jones reviews the development of business history since its birth at the Harvard Business... View Details
Keywords: Economic History; Business History; History; Asia; Africa; Europe; Latin America; North and Central America
Jones, G., Marco H.D. van Leeuwen, and Stephen Broadberry. "The Future of Economic, Business, and Social History." Scandinavian Economic History Review 60, no. 3 (2012): 225–253.
- Awards
Gerry Feldman Prize for the Best Research Article Published by a Young Scholar
Winner of the 2012 Gerry Feldman Prize for the Best Research Article Published by Young Scholars in the Financial History Review during 2010–2011, sponsored by the European Association of Banking and Financial History, for the paper with André C. Martínez... View Details
- 2025
- Article
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with... View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Journal of Business & Economic Statistics 43, no. 1 (2025): 256–268.
- 19 Apr 2010
- Research & Ideas
The History of Beauty
you have a major industry that still has lots to reveal. We asked Jones to discuss his research and his new book. Sean Silverthorne: What inspired your interest in the beauty business and its history? Geoffrey Jones: My initial interest in the beauty industry was... View Details
- 2008
- Book
The Ascent of Money: A Financial History of the World
By: Niall Ferguson
Niall Ferguson traces the historical evolution of the financial system, from its origins in ancient Mesopotamia to the latest upheavals on what he calls "Planet Finance." In doing so, he reveals financial history as the essential backstory behind all history, from the... View Details
Keywords: Financial History; Money; Financial Institutions; Financial Instruments; Investment; Globalization
Ferguson, Niall. The Ascent of Money: A Financial History of the World. New York: Penguin Press, 2008.
Estimating Causal Peer Influence in Homophilous Social Networks by Inferring Latent Locations
Social influence cannot be identified from purely observational data on social networks, because such influence is generically confounded with latent homophily, that is, with a node’s network partners being informative about the node’s attributes and therefore... View Details
- October–December 2022
- Article
Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem
By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius
Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details
Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction
Yang, Mochen, Edward McFowland III, Gordon Burtch, and Gediminas Adomavicius. "Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem." INFORMS Journal on Data Science 1, no. 2 (October–December 2022): 138–155.
- Fall 2011
- Article
A Brief Postwar History of U.S. Consumer Finance
By: Gunnar Trumbull and Peter Tufano
In this brief history of U.S. consumer finance since World War II, the sector is defined based on the functions delivered by firms in the form of payments, savings and investing, borrowing, managing risk, and providing advice. Evidence of major trends in consumption,... View Details
Keywords: Consumer Finance; Consumer Credit; U.s. History; Consumer Behavior; Personal Finance; Credit; Trends; History; United States
Trumbull, Gunnar, and Peter Tufano. "A Brief Postwar History of U.S. Consumer Finance." Business History Review 85, no. 3 (Fall 2011): 461–498.
- 07 Dec 2018
- Working Paper Summaries
Oral History and Writing the Business History of Emerging Markets
Keywords: by Geoffrey Jones and Rachael Comunale
- 19 Jun 2012
- News
A Brief History of Doing Well by Doing Good
- June 2014
- Article
The Red Sneakers Effect: Inferring Status and Competence from Signals of Nonconformity
By: Silvia Bellezza, Francesca Gino and Anat Keinan
We examine how people react to nonconforming behaviors, such as entering a luxury boutique wearing gym clothes rather than an elegant outfit or wearing red sneakers in a professional setting. Nonconforming behaviors, as costly and visible signals, can act as a... View Details
Bellezza, Silvia, Francesca Gino, and Anat Keinan. "The Red Sneakers Effect: Inferring Status and Competence from Signals of Nonconformity." Journal of Consumer Research 41, no. 1 (June 2014): 35–54. (Finalist, 2017 Best Article Award for a paper published in JCR in 2014.))
- 18 Nov 2002
- Research & Ideas
Enterprising Women—a History
Museum of our National Heritage in Lexington, Massachusetts and to explore the question of how this exhibit changes our understanding of women's roles in American economic history. Virginia G. Drachman, a professor of history at Tufts... View Details
Keywords: by Laura Linard
- 03 May 2004
- Research & Ideas
Business History around the World
While many history departments of American universities prefer to keep business as a separate discipline, HBS entrepreneurship professor Geoffrey Jones encourages the examination of history as a way to... View Details
Keywords: by Cynthia Churchwell
- 05 Jul 2006
- Working Paper Summaries
Bringing History into International Business
- 14 Nov 2019
- News