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    • All HBS Web  (2,147)
      • Faculty Publications  (569)

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      • September 2025
      • Article

      Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India

      By: Shawn Cole, Tomoko Harigaya, Grady Killeen and Aparna Krishna
      This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
      Keywords: Measurement and Metrics; Mathematical Methods; Analytics and Data Science; Agriculture and Agribusiness Industry; India
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      Cole, Shawn, Tomoko Harigaya, Grady Killeen, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Journal of Development Economics 176 (September 2025).
      • Working Paper

      Shifting Work Patterns with Generative AI

      By: Eleanor W. Dillon, Sonia Jaffe, Nicole Immorlica and Christopher Stanton
      We present evidence on how generative AI changes the work patterns of knowledge workers using data from a 6-month-long, cross-industry, randomized field experiment. Half of the 7,137 workers in the study received access to a generative AI tool integrated into the... View Details
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      Dillon, Eleanor W., Sonia Jaffe, Nicole Immorlica, and Christopher Stanton. "Shifting Work Patterns with Generative AI." NBER Working Paper Series, No. 33795, May 2025.
      • 2025
      • Working Paper

      Bank Financing of Global Supply Chains

      By: Laura Alfaro, Mariya Brussevich, Camelia Minoiu and Andrea Presbitero
      Finding new international suppliers is costly, so most importers source inputs from a single country. We examine the role of banks in mitigating trade search costs during the 2018–2019 U.S.-China trade tensions. We match data on shipments to U.S. ports with the U.S.... View Details
      Keywords: Financial Institutions; International Finance; Trade; Credit; United States; Asia
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      Alfaro, Laura, Mariya Brussevich, Camelia Minoiu, and Andrea Presbitero. "Bank Financing of Global Supply Chains." NBER Working Paper Series, No. 33754, May 2025.
      • 2025
      • Working Paper

      Management and Firm Dynamism

      By: Nicholas Bloom, Jonathan S. Hartley, Raffaella Sadun, Rachel Schuh and John Van Reenen
      We show better-managed firms are more dynamic in plant acquisitions, disposals, openings and closings in U.S. Census and international data. Better-managed firms also birth better-managed plants, and improve the performance of the plants they acquire. To explain these... View Details
      Keywords: Management Practices; Productivity; Management Practices and Processes; Mergers and Acquisitions; Competition; Business or Company Management; Performance Productivity
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      Bloom, Nicholas, Jonathan S. Hartley, Raffaella Sadun, Rachel Schuh, and John Van Reenen. "Management and Firm Dynamism." Harvard Business School Working Paper, No. 25-052, April 2025.
      • 2025
      • Working Paper

      With a Little Help from My Family: Informal Startup Financing

      By: Brian K. Baik, Johan Ludvig S. Karlsen and Katja Kisseleva
      Using Norwegian administrative data, we identify family equity investments in startups and examine their effects on investor returns and firm behavior. Informal investors earn lower returns than external individuals, and the firms they back are less likely to secure... View Details
      Keywords: Early Stage Finance; Informal Investment; Household Finance; Risk Taking; Entrepreneurial Finance; Entrepreneurship; Personal Finance; Family and Family Relationships; Business Startups; Investment; Norway
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      Baik, Brian K., Johan Ludvig S. Karlsen, and Katja Kisseleva. "With a Little Help from My Family: Informal Startup Financing." Harvard Business School Working Paper, No. 25-053, April 2025.
      • 2025
      • Working Paper

      How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions

      By: Christian Kaps and Arielle Anderer
      Learning curves, the fact that technologies improve as a function of cumulative experience or investment, are desirable-think inexpensive solar panels or higher performing semiconductors. But, for firms that need to pick one technology among several candidates, such as... View Details
      Keywords: Learning Curve; Technology; Innovation; Batteries; Energy Storage; Sequential Decision Making; TELCO; Exploration; Exploitation; Problems and Challenges; Cost vs Benefits; Technology Adoption; Battery Industry
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      Kaps, Christian, and Arielle Anderer. "How to Choose Among Technologies with Learning Curves: Making Better Investment Decisions." Working Paper, March 2025.
      • 2025
      • Working Paper

      Methane Abatement Costs in the Oil and Gas Industry: Survey and Synthesis

      By: Joseph E. Aldy, Forest Reinhardt and Robert N. Stavins
      There is growing recognition of the relative importance of anthropogenic emissions of methane as a contributor to global climate change. An important source of such emissions in some countries, including the United States, is the oil and gas (O&G) sector. This points... View Details
      Keywords: Emission Reduction; Environmental Sustainability; Climate Change; Pollutants; Energy Industry
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      Aldy, Joseph E., Forest Reinhardt, and Robert N. Stavins. "Methane Abatement Costs in the Oil and Gas Industry: Survey and Synthesis." NBER Working Paper Series, No. 33564, March 2025.
      • February 2025 (Revised March 2025)
      • Case

      Accounting for Bitcoin at Block

      By: Charles C.Y. Wang, Seil Kim and Sa-Pyung Sean Shin
      Abstract: This case explores Block Inc.'s accounting practices for Bitcoin transactions and their impact on financial reporting. Following a 10% stock price drop after missing revenue estimates in Q3 2024, Block faced scrutiny over its Bitcoin-driven revenue model.... View Details
      Keywords: Cryptocurrency; Bitcoin
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      Wang, Charles C.Y., Seil Kim, and Sa-Pyung Sean Shin. "Accounting for Bitcoin at Block." Harvard Business School Case 125-072, February 2025. (Revised March 2025.)
      • 2025
      • Working Paper

      Is Love Blind? AI-Powered Trading with Emotional Dividends

      By: De-Rong Kong and Daniel Rabetti
      We leverage the non-fungible tokens (NFTs) setting to assess the valuation of emotional dividends (LOVE), a long-standing empirical challenge in private-value markets such as art, antiques, and collectibles. Having created and validated our proxy, we use deep learning... View Details
      Keywords: NFTs; Non-fungible Tokens; AI and Machine Learning; Valuation; Financial Markets
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      Kong, De-Rong, and Daniel Rabetti. "Is Love Blind? AI-Powered Trading with Emotional Dividends." Working Paper, February 2025.
      • 2025
      • Working Paper

      Tax Planning, Illiquidity, and Credit Risks: Evidence from DeFi Lending

      By: Lisa De Simone, Peiyi Jin and Daniel Rabetti
      This study establishes a plausible causal link between tax-planning-induced illiquidity and credit risks in lending markets. Exploiting an exogenous tax shock imposed by the Internal Revenue Service (IRS) on cryptocurrency gains, along with millions of transactions in... View Details
      Keywords: Cryptocurrency; Taxation; Financial Liquidity; Credit; Financing and Loans; Financial Markets
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      De Simone, Lisa, Peiyi Jin, and Daniel Rabetti. "Tax Planning, Illiquidity, and Credit Risks: Evidence from DeFi Lending." Working Paper, February 2025.
      • 2025
      • Working Paper

      Climate Risk and the U.S. Insurance Gap: Measurement, Drivers and Implications

      By: Pari Sastry, Therese Scharlemann, Ishita Sen and Ana-Maria Tenekedjieva
      Despite rising climate-related property damage, the average American is under-insured. We study the homeowners insurance protection gap using nationwide state-of-the-art insurance, mortgage, and climate databases at a property level and exploiting quasi-exogenous... View Details
      Keywords: Climate Change; Risk and Uncertainty; Insurance; Personal Finance; Consumer Behavior; Mortgages
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      Sastry, Pari, Therese Scharlemann, Ishita Sen, and Ana-Maria Tenekedjieva. "Climate Risk and the U.S. Insurance Gap: Measurement, Drivers and Implications." Harvard Business School Working Paper, No. 25-054, February 2025.
      • 2025
      • Working Paper

      Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India

      By: Shawn Cole, Grady Killeen, Tomoko Harigaya and Aparna Krishna
      This paper evaluates a low-cost, customized soil nutrient management advisory service in India. As a methodological contribution, we examine whether and in which settings satellite measurements may be effective at estimating both agricultural yields and treatment... View Details
      Keywords: Performance Evaluation; Technology Adoption; Measurement and Metrics; Analytics and Data Science; Agriculture and Agribusiness Industry; India
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      Cole, Shawn, Grady Killeen, Tomoko Harigaya, and Aparna Krishna. "Using Satellites and Phones to Evaluate and Promote Agricultural Technology Adoption: Evidence from Smallholder Farms in India." Harvard Business School Working Paper, No. 25-035, January 2025.
      • January 2025 (Revised April 2025)
      • Case

      Duolingo: On a 'Streak'

      By: Jeffrey F. Rayport, Nicole Tempest Keller and Nicole Luo
      In December 2024, Severin Hacker, Co-Founder and Chief Technology Officer of Duolingo, reflected on the remarkable evolution of the language-learning app he helped launch in 2011. As the #1 most downloaded education app in the world, Duolingo had over 100 million... View Details
      Keywords: Learning; AI and Machine Learning; Growth and Development Strategy; Motivation and Incentives; Diversification; Business Model; Market Entry and Exit; Technology Industry; Education Industry; United States
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      Rayport, Jeffrey F., Nicole Tempest Keller, and Nicole Luo. "Duolingo: On a 'Streak'." Harvard Business School Case 825-097, January 2025. (Revised April 2025.)
      • 2025
      • Working Paper

      Home Sweet Home: How Much Do Employees Value Remote Work?

      By: Zoë B. Cullen, Bobak Pakzad-Hurson and Ricardo Perez-Truglia
      We estimate the value employees place on remote work using revealed preferences in a high-stakes, real-world context, focusing on U.S. tech workers. On average, employees are willing to accept a 25% pay cut for partly or fully remote roles. Our estimates are three to... View Details
      Keywords: Employees; Compensation and Benefits; Satisfaction; Value; Research
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      Cullen, Zoë B., Bobak Pakzad-Hurson, and Ricardo Perez-Truglia. "Home Sweet Home: How Much Do Employees Value Remote Work?" NBER Working Paper Series, No. 33383, January 2025.
      • January 2025 (Revised April 2025)
      • Case

      Less Is More: Will Aldi's Expansion Plans Pay Off in a Crowded U.S. Grocery Market?

      By: David Collis and Haisley Wert
      In 2024, the discount grocery retailer Aldi announced bold U.S. expansion plans. Within five years, the German company would increase its store count by 30% to reach 3,200+ stores across the United States and approach becoming the fifth largest grocery retailer in the... View Details
      Keywords: Scope; Grocery; Corporate Strategy; Expansion; Business Model; Competitive Strategy; Retail Industry; United States
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      Collis, David, and Haisley Wert. "Less Is More: Will Aldi's Expansion Plans Pay Off in a Crowded U.S. Grocery Market?" Harvard Business School Case 725-416, January 2025. (Revised April 2025.)
      • 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
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      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.
      • December 2024
      • Article

      Are Bankruptcy Professional Fees Excessively High?

      By: Samuel Antill
      Chapter 7 is the most popular bankruptcy system for U.S. firms and individuals. Chapter 7 professional fees are substantial. Theoretically, high fees might be an unavoidable cost of incentivizing professionals. I test this empirically. I study trustees, the most... View Details
      Keywords: Insolvency and Bankruptcy; Motivation and Incentives; Policy
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      Antill, Samuel. "Are Bankruptcy Professional Fees Excessively High?" Review of Financial Studies 37, no. 12 (December 2024): 3595–3647. (Lead Article and Editor's Choice.)
      • 2024
      • Working Paper

      Scaling Core Earnings Measurement with Large Language Models

      By: Matthew Shaffer and Charles CY Wang
      We study the application of large language models (LLMs) to the estimation of core earnings, i.e., a firm's persistent profitability from its core business activities. This construct is central to investors' assessments of economic performance and valuations. However,... View Details
      Keywords: Large Language Models; AI and Machine Learning; Accounting; Profit; Corporate Disclosure; Analytics and Data Science; Measurement and Metrics
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      Shaffer, Matthew, and Charles CY Wang. "Scaling Core Earnings Measurement with Large Language Models." Working Paper, November 2024.
      • November 2024
      • Article

      Perceptions About Monetary Policy

      By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
      We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time,... View Details
      Keywords: Monetary Policy; Policy; Interest Rates; Perception; Economy; Forecasting and Prediction
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      Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Perceptions About Monetary Policy." Quarterly Journal of Economics 139, no. 4 (November 2024): 2227–2278.
      • November 2024
      • Article

      Preference Externality Estimators: A Comparison of Border Approaches and IVs

      By: Xi Ling, Wesley R. Hartmann and Tomomichi Amano
      This paper compares two estimators—the Border Approach and an Instrumental Variable (IV) estimator—using a unified framework where identifying variation arises from “preference externalities,” following the intuition in Waldfogel (2003). We highlight two dimensions in... View Details
      Keywords: Econometrics; Casual Inference; Marketing; Economics; Advertising; Mathematical Methods
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      Ling, Xi, Wesley R. Hartmann, and Tomomichi Amano. "Preference Externality Estimators: A Comparison of Border Approaches and IVs." Management Science 70, no. 11 (November 2024): 7892–7910.
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