Publications

23 Jan 2018
Working Paper Summaries

Transaction Costs and the Duration of Contracts

Keywords: by Alexander MacKay

2017
Working Paper

Digital Labor Markets and Global Talent Flows

By: John Horton, William R. Kerr and Christopher Stanton

Digital labor markets are rapidly expanding and connecting companies and contractors on a global basis. We review the environment in which these markets take root, the micro- and macro-level studies of their operations, their ongoing evolution and recent trends, and... View Details

Keywords: Information Infrastructure; Job Cuts and Outsourcing; Talent and Talent Management; Labor

23 Mar 2012
HBS Seminar

Dan Kahan, Professor of Law and Professor of Psychology at Yale Law School

Working Paper

Visual Uniqueness in Peer-to-Peer Marketplaces: Machine Learning Model Development, Validation, and Application

By: Flora Feng, Charis Li and Shunyuan Zhang

Peer-to-peer (P2P) marketplaces have seen exponential growth in recent years featured by unique offerings from individual providers. Despite the perceived value of uniqueness, scalable quantification of visual uniqueness in P2P platforms like Airbnb has been largely... View Details

Keywords: Peer-to-peer Markets; Marketplace Matching; AI and Machine Learning; Demand and Consumers; Digital Platforms; Marketing

Keywords: by Raj Chande, Michael Luca, Michael Sanders, Xian-Zhi Soon, Oana Borcan, Netta Barak-Corren, Elizabeth Linos, Elspeth Kirkman & Sean Robinson; Education

11 Mar 2015
Working Paper Summaries

Curbing Adult Student Attrition: Evidence from a Field Experiment

16 May 2017
First Look

First Look at New Ideas and Research, May 16

platforms, 2) gravity model analyses of global outsourcing contract flows and their determinants for digital labor markets, and 3) quantification of own- View Details

Keywords: Re: Multiple Faculty

August 2007
Article

Remedying Education: Evidence from Two Randomized Experiments in India

By: A. Banerjee, Shawn A. Cole, E. Duflo and L. Linden

This paper presents the results of two randomized experiments conducted in schools in urban India. A remedial education program hired young women to teach students lagging behind in basic literacy and numeracy skills. It increased average test scores of all children in... View Details

Keywords: Literacy; Teaching; Performance Improvement; Competency and Skills; India

Article

Incorporating Interpretable Output Constraints in Bayesian Neural Networks

By: Wanqian Yang, Lars Lorch, Moritz Graule, Himabindu Lakkaraju and Finale Doshi-Velez

Domains where supervised models are deployed often come with task-specific constraints, such as prior expert knowledge on the ground-truth function, or desiderata like safety and fairness. We introduce a novel probabilistic framework for reasoning with such constraints... View Details

October 2020
Case

PraDigi Open Learning: Transforming Rural India

By: John J-H Kim and Malini Sen

Pratham is a non-governmental organization, focusing on high-quality, low-cost and replicable interventions to address gaps in the Indian education system. Co-founder Madhav Chavan is interested in using technology for education but differed in the way it is used in... View Details

Keywords: Decision Choices and Conditions; Social Entrepreneurship; Education; Information Technology; Learning; Growth and Development Strategy; Non-Governmental Organizations; Social Issues; Education Industry; India; Asia

Educators

2023
Working Paper

State Employment as a Strategy of Autocratic Control in China

By: Jaya Y. Wen

This paper presents evidence that autocrats use state-owned firms to strategically pacify social unrest via employment provision, a role that may contribute to their favorable treatment and persistence across settings. I use variation in a regional conflict between... View Details

Keywords: State Ownership; Employment; Government and Politics; Conflict Management; China

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

Keywords: AI and Machine Learning; Mathematical Methods; Analytics and Data Science

12 Aug 2011
Working Paper Summaries

From Counting Risk to Making Risk Count: Boundary-Work in Risk Management

Keywords: by Anette Mikes

August 2021
Article

Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders

By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett

This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British... View Details

Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India

April 2004 (Revised August 2004)
Teaching Note

BuildingBlocks International

BuildingBlocks International (BBI) plans to accomplish its mission to help children in developing countries succeed in school by bringing management expertise to local organizations. Two years after founding BBI, however, the team hasn't figured out exactly how to make... View Details

Keywords: Marketing Strategy; Social Marketing; Developing Countries and Economies; Sales

December 2013
Article

Measuring the Value of Process Improvement Initiatives in a Preoperative Assessment Center using Time-driven Activity-based Costing

By: Katy E. French, Heidi W. Albright, John C. Frenzel, James R. Incalcaterra, Augustin C. Rubio, Jessica F. Jones and Thomas W. Feeley

Background: The value and impact of process improvement initiatives are difficult to quantify. We describe the use of time-driven activity-based costing(TDABC)in a clinical setting to quantify the value of process improvements in terms of cost, time and personnel... View Details

Keywords: Quality Improvement; Value Agenda; Time-Driven Activity-Based Costing; Accounting; Health; Measurement and Metrics; Value; Health Industry; North and Central America