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May 2018
Article

Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change

By: Edward L. Glaeser, Hyunjin Kim and Michael Luca

Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details

Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction

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2024
Working Paper

Principles and Content for Downstream Emissions Disclosures

By: Robert S. Kaplan and Karthik Ramanna

In a previous paper, we proposed the E-liability carbon accounting algorithm for companies to measure and subsequently reduce their own and their suppliers’ emissions. Some investors and stakeholders, however, want companies to also be accountable for downstream... View Details

Keywords: Carbon Emissions; Disclosure; Carbon Footprint; Climate Change; Measurement and Metrics; Corporate Disclosure; Environmental Sustainability; Corporate Social Responsibility and Impact

2019
Working Paper

‘Organizing’, ‘Innovating’ and ‘Managing’ in Complexity Space

By: Michael C. Moldoveanu

We two-dimensional measure of organizational complexity that distinguishes between the informational and computational dimensions of complexity and aims to function as a maximally context-invariant environment for posing fundamental questions about organizational... View Details

Keywords: Organizational Dynamics; Organizations; Complexity; Adaptation; Innovation and Invention

Invisible Primes: Fintech Lending with Alternative Data

A key policy question raised by the advent of fintech lenders revolves around the impact on credit availability of credit models that employ alternative data and algorithmic underwriting. We exploit anonymized administrative data provided by a major fintech platform... View Details

2025
Working Paper

Enhancing Treatment Effect Prediction on Privacy-Protected Data: An Honest Post-Processing Approach

By: Ta-Wei Huang and Eva Ascarza

As firms increasingly rely on customer data for personalization, concerns over privacy and regulatory compliance have grown. Local Differential Privacy (LDP) offers strong individual-level protection by injecting noise into data before collection. While... View Details

Keywords: Targeted Intervention; Conditional Average Treatment Effect Estimation; Differential Privacy; Honest Estimation; Post-processing; Analytics and Data Science; Consumer Behavior; Marketing

Article

Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches

By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang

Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR website, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details

Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Perception; Internet and the Web; Investment

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May 2022 (Revised June 2024)
Case

LOOP: Driving Change in Auto Insurance Pricing

By: Elie Ofek and Alicia Dadlani

John Henry and Carey Anne Nadeau, co-founders and co-CEOs of LOOP, an insurtech startup based in Austin, Texas, were on a mission to modernize the archaic $250 billion automobile insurance market. They sought to create equitably priced insurance by eliminating pricing... View Details

Keywords: AI and Machine Learning; Technological Innovation; Equality and Inequality; Prejudice and Bias; Growth and Development Strategy; Customer Relationship Management; Price; Insurance Industry; Financial Services Industry

February 2021
Article

Topic Classification of Electric Vehicle Consumer Experiences with Transformer-Based Deep Learning

By: Sooji Ha, Daniel J Marchetto, Sameer Dharur and Omar Isaac Asensio

The transportation sector is a major contributor to greenhouse gas (GHG) emissions and is a driver of adverse health effects globally. Increasingly, government policies have promoted the adoption of electric vehicles (EVs) as a solution to mitigate GHG emissions.... View Details

Keywords: Natural Language Processing; Analytics and Data Science; Environmental Sustainability; Infrastructure; Transportation; Policy

2024
Book

Fintech, Small Business & the American Dream: How Technology Is Transforming Lending and Shaping a New Era of Small Business Opportunity

By: Karen G. Mills

The second edition of Fintech, Small Business & the American Dream, builds on the groundbreaking 2019 book with new insights on how technology and artificial intelligence are transforming small business lending. This ambitious view covers the significance of... View Details

Keywords: Fintech; AI; AI and Machine Learning; Small Business; Economy; Technology Adoption; Credit; Financing and Loans; Analytics and Data Science

Article

Ensembles of Overfit and Overconfident Forecasts

By: Y. Grushka-Cockayne, V.R.R. Jose and K. C. Lichtendahl

Firms today average forecasts collected from multiple experts and models. Because of cognitive biases, strategic incentives, or the structure of machine-learning algorithms, these forecasts are often overfit to sample data and are overconfident. Little is known about... View Details

Keywords: Decision Analysis; Data Science; Forecasting and Prediction; Data and Data Sets

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05 Jul 2006
Working Paper Summaries

Time-Driven Activity-Based Costing

Keywords: by Robert S. Kaplan & Steven R. Anderson; Financial Services

July 2025
Article

Digital Lending and Financial Well-Being: Through the Lens of Mobile Phone Data

By: AJ Chen, Omri Even-Tov, Jung Koo Kang and Regina Wittenberg-Moerman

To mitigate information asymmetry about borrowers in developing economies, digital lenders use machine-learning algorithms and nontraditional data from borrowers’ mobile devices. Consequently, digital lenders have managed to expand access to credit for millions of... View Details

Keywords: Informal Economy; Digital Banking; Mobile Phones; Developing Countries and Economies; Mobile and Wireless Technology; AI and Machine Learning; Analytics and Data Science; Credit; Borrowing and Debt; Well-being; Banking Industry; Kenya

March–April 2022
Article

School Choice in Chile

By: Jose Correa, Natalie Epstein, Rafael Epstein, Juan Escobar, Ignacio Rios, Nicolas Aramayo, Bastian Bahamondes, Carlos Bonet, Martin Castillo, Andres Cristi, Boris Epstein and Felipe Subiabre

Centralized school admission mechanisms are an attractive way of improving social welfare and fairness in large educational systems. In this paper, we report the design and implementation of the newly established school choice system in Chile, where over 274,000... View Details

Keywords: Early Childhood Education; Secondary Education; Middle School Education; Family and Family Relationships; Welfare; Chile

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Article

Hinged Dissections Exist

By: Timothy G. Abbott, Zachary Abel, David Charlton, Erik D. Demaine, Martin L. Demaine and Scott Duke Kominers

We prove that any finite collection of polygons of equal area has a common hinged dissection. That is, for any such collection of polygons there exists a chain of polygons hinged at vertices that can be folded in the plane continuously without self-intersection to form... View Details

Keywords: Folding; Reconfiguration; Hinge; Plygon; Refinement; Mathematical Methods

2014
Working Paper

Search-Based Peer Firms: Aggregating Investor Perceptions Through Internet Co-Searches

By: Charles M.C. Lee, Paul Ma and Charles C.Y. Wang

Applying a "co-search" algorithm to Internet traffic at the SEC's EDGAR web-site, we develop a novel method for identifying economically-related peer firms and for measuring their relative importance. Our results show that firms appearing in chronologically adjacent... View Details

Keywords: Peer Firm; EDGAR Search Traffic; Revealed Preference; Co-search; Industry Classification; Analytics and Data Science; Internet and the Web; Mathematical Methods; Corporate Finance

22 Jan 2015
News

Food Safety in Numbers

10 Jul 2023
In Practice

The Harvard Business School Faculty Summer Reader 2023

fascinating realm of design and human interaction with everyday objects. Norman provides thought-provoking insights on usability and human-centered design. The book is relevant to my own research on visual analytics. Picture this: designing an View Details

Keywords: by Dina Gerdeman

March 2025
Case

Niramai: An AI Solution to Save Lives

By: Rembrand Koning, Maria P. Roche and Kairavi Dey

Founded in 2017, Niramai developed Thermalytix, a breast cancer screening tool. Thermalytix used a high-resolution thermal sensing device and machine learning algorithms to analyze thermal images and detect tumors. Its patented solution leveraged big data analytics,... View Details

Keywords: Entrepreneurship; AI and Machine Learning; Technology Adoption; Health Care and Treatment; Innovation and Management; Entrepreneurial Finance; Business Strategy; Science-Based Business; Technology Industry; Health Industry; Asia; India; South Asia

2021
Book

The Future of Executive Development

By: Mihnea C Moldoveanu and Das Narayandas

Executive development programs have entered a period of rapid transformation, driven by digital disruption and a widening gap between the skills that participants and their organizations demand and those provided by their executive programs. This work delves into the... View Details

Keywords: Executive Education; Leadership Development; Management Skills; Education Industry

September–October 2020
Article

Managing Churn to Maximize Profits

By: Aurelie Lemmens and Sunil Gupta

Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a... View Details

Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit

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