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- 2024
- Working Paper
Public Sector SME Grading System in Emerging Markets: A Focus on Nigeria
By: Saveshen Pillay, Anywhere Sikochi, Charles Odii, Zaakirah Ismail, Regina Bamaiyi and Denise Mubaiwa
In this paper, we explore the impact of creating a public sector nano, micro, small and medium
enterprise (nMSME) grading system in Nigeria. Using insights from work with the Nigerian
government, the first country in Africa to attempt to establish a public sector SME...
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Pillay, Saveshen, Anywhere Sikochi, Charles Odii, Zaakirah Ismail, Regina Bamaiyi, and Denise Mubaiwa. "Public Sector SME Grading System in Emerging Markets: A Focus on Nigeria." Working Paper, October 2024.
- 2024
- Working Paper
Does Private Equity Have Any Business Being in the Health Care Business?
By: Nori Gerardo Lietz and Zirui Song
Private Equity (“PE”) has come under increased scrutiny by the press, academics, and policymakers, as well as the public, for its investments in health care delivery. This scrutiny has been exacerbated by recent high profile hospital bankruptcies following PE...
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Lietz, Nori Gerardo, and Zirui Song. "Does Private Equity Have Any Business Being in the Health Care Business?" Harvard Business School Working Paper, No. 25-012, September 2024.
- 2024
- Article
Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules
By: Michael Lingzhi Li and Kosuke Imai
A century ago, Neyman showed how to evaluate the efficacy of treatment using a randomized experiment under a minimal set of assumptions. This classical repeated sampling framework serves as a basis of routine experimental analyses conducted by today’s scientists across...
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Li, Michael Lingzhi, and Kosuke Imai. "Neyman Meets Causal Machine Learning: Experimental Evaluation of Individualized Treatment Rules." Journal of Causal Inference 12, no. 1 (2024).
- June 2024
- Article
Counterparty Risk and Counterparty Choice in the Credit Default Swap Market
By: Wenxin Du, Salil Gadgil, Michael Gordy and Clara Vega
We investigate how market participants price and manage counterparty credit risk using confidential trade repository data on single-name credit default swap (CDS) transactions. We find that counterparty risk has a modest impact on the pricing of CDS contracts but a...
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Keywords:
Credit Derivatives and Swaps;
Market Participation;
Risk and Uncertainty;
Price;
Financial Markets;
Credit
Du, Wenxin, Salil Gadgil, Michael Gordy, and Clara Vega. "Counterparty Risk and Counterparty Choice in the Credit Default Swap Market." Management Science 70, no. 6 (June 2024): 3808–3826.
- June 2024
- Article
Redistributive Allocation Mechanisms
By: Mohammad Akbarpour, Piotr Dworczak and Scott Duke Kominers
Many scarce public resources are allocated at below-market-clearing prices, and sometimes for free. Such "non-market" mechanisms sacrifice some surplus, yet they can potentially improve equity. We develop a model of mechanism design with redistributive concerns. Agents...
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Akbarpour, Mohammad, Piotr Dworczak, and Scott Duke Kominers. "Redistributive Allocation Mechanisms." Journal of Political Economy 132, no. 6 (June 2024): 1831–1875. (Authors' names are in certified random order.)
- April 2024
- Article
Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads
By: Samuel G. Hanson, Aytek Malkhozov and Gyuri Venter
We develop and test a model in which swap spreads are determined by end users' demand for
and constrained intermediaries’ supply of long-term interest rate swaps. Swap spreads reflect
compensation both for using scarce intermediary capital and for bearing convergence...
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Keywords:
Swap Spreads;
Credit Derivatives and Swaps;
Interest Rates;
Risk and Uncertainty;
Volatility
Hanson, Samuel G., Aytek Malkhozov, and Gyuri Venter. "Demand-and-Supply Imbalance Risk and Long-Term Swap Spreads." Art. 103814. Journal of Financial Economics 154 (April 2024).
- March–April 2024
- Article
How Companies Should Weigh in on a Controversy: A Better Approach to Stakeholder Management
By: David M. Bersoff, Sandra J. Sucher and Peter Tufano
Executives need guidance about managing their organizations’ engagement with societal issues—including hot-button topics such as gender, climate, and racial discrimination. Success in this realm does not mean avoiding public controversy or achieving unanimous support...
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Keywords:
Values and Beliefs;
Social Issues;
Business and Stakeholder Relations;
Judgments;
Management Practices and Processes
Bersoff, David M., Sandra J. Sucher, and Peter Tufano. "How Companies Should Weigh in on a Controversy: A Better Approach to Stakeholder Management." Harvard Business Review 102, no. 2 (March–April 2024): 108–119.
- 2024
- Report
The Economic Benefits of a Public Sector Nano, Micro, Small and Medium Enterprise (nMSME) Grading Agency: Evidence from Nigeria
By: Saveshen Pillay, Zaakirah Ismail, Anywhere Sikochi and Charles Odii
This is a summary of our working paper exploring the possibility of creating a public sector small and medium enterprise (SME) grading system in Emerging Markets. Using research and insights from ongoing work with the Nigerian government, the first country in Africa to...
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Pillay, Saveshen, Zaakirah Ismail, Anywhere Sikochi, and Charles Odii. "The Economic Benefits of a Public Sector Nano, Micro, Small and Medium Enterprise (nMSME) Grading Agency: Evidence from Nigeria." Report, March 2024.
- 2023
- Working Paper
'De Gustibus' and Disputes about Reference Dependence
By: Thomas Graeber, Pol Campos-Mercade, Lorenz Goette, Alexandre Kellogg and Charles Sprenger
Existing tests of reference-dependent preferences assume universal loss aversion. This paper examines the implications of heterogeneity in gain-loss attitudes for such tests. In experiments on labor supply and exchange behavior we measure gain-loss attitudes and then...
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Graeber, Thomas, Pol Campos-Mercade, Lorenz Goette, Alexandre Kellogg, and Charles Sprenger. "'De Gustibus' and Disputes about Reference Dependence." Harvard Business School Working Paper, No. 24-046, January 2024.
- 2023
- Working Paper
Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network
By: Ebehi Iyoha
This paper examines the extent to which productivity gains are transmitted across U.S. firms through buyer-supplier relationships. Many empirical studies measure firm-to-firm spillovers using firm-level productivity estimates derived from control function approaches....
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Iyoha, Ebehi. "Estimating Productivity in the Presence of Spillovers: Firm-Level Evidence from the U.S. Production Network." Harvard Business School Working Paper, No. 24-033, December 2023. (Winner of the Young Economists' Essay Award at the 2021 Annual Conference of the European Association for Research in Industrial Economics (EARIE))
- December 12, 2023
- Article
Prices for Common Services at Quaternary vs Nonquaternary Hospitals
By: Brandon W. Yan, Maximilian J. Pany and Leemore S. Dafny
Using commercial health insurance claims data from 2017-2019, we assessed whether quaternary hospitals charged higher prices for common, unspecialized services also offered by nonquaternary hospitals. We found quaternary-hospital price premiums of 8.2 percent, on...
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Yan, Brandon W., Maximilian J. Pany, and Leemore S. Dafny. "Prices for Common Services at Quaternary vs Nonquaternary Hospitals." JAMA, the Journal of the American Medical Association 330, no. 22 (December 12, 2023): 2211–2213.
- 2023
- Article
Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten
By: Himabindu Lakkaraju, Satyapriya Krishna and Jiaqi Ma
The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications. While the right to explanation allows individuals to request an actionable explanation for an...
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Keywords:
Analytics and Data Science;
AI and Machine Learning;
Decision Making;
Governing Rules, Regulations, and Reforms
Lakkaraju, Himabindu, Satyapriya Krishna, and Jiaqi Ma. "Towards Bridging the Gaps between the Right to Explanation and the Right to Be Forgotten." Proceedings of the International Conference on Machine Learning (ICML) 40th (2023): 17808–17826.
- July 2023
- Article
Design and Analysis of Switchback Experiments
By: Iavor I Bojinov, David Simchi-Levi and Jinglong Zhao
In switchback experiments, a firm sequentially exposes an experimental unit to a random treatment, measures its response, and repeats the procedure for several periods to determine which treatment leads to the best outcome. Although practitioners have widely adopted...
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Bojinov, Iavor I., David Simchi-Levi, and Jinglong Zhao. "Design and Analysis of Switchback Experiments." Management Science 69, no. 7 (July 2023): 3759–3777.
- 2023
- Working Paper
The Market for Sharing Interest Rate Risk: Quantities and Asset Prices
By: Umang Khetan, Jane Li, Ioana Neamtu and Ishita Sen
We study the extent of interest rate risk sharing across the financial system using granular positions and transactions data in interest rate swaps. We show that pension and insurance (PF&I) sector emerges as a natural counterparty to banks and corporations: overall,...
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Keywords:
Interest Rates;
Investment Funds;
Banks and Banking;
Insurance;
Investment Banking;
Risk and Uncertainty
Khetan, Umang, Jane Li, Ioana Neamtu, and Ishita Sen. "The Market for Sharing Interest Rate Risk: Quantities and Asset Prices." Harvard Business School Working Paper, No. 24-052, February 2024.
- June 2023
- Case
Investing in the Climate Transition at Neuberger Berman
By: George Serafeim and Benjamin Maletta
By mid-2023, Neuberger Berman (NB), an active asset manager, had grown its assets under management to about half a trillion dollars and took pride in its client centricity and innovative spirit. Responding to client demand for investment products that integrated...
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Keywords:
Carbon Emissions;
Sustainability;
Decarbonization;
Performance;
Risk Assessment;
Opportunities;
Environmental Sustainability;
Carbon Footprint;
Business Analysis;
Investing;
Regulation;
Asset Management;
Investment Strategy;
Climate Change;
Transition;
Analysis;
Product Positioning;
Strategy;
Investment Portfolio;
Financial Services Industry;
Energy Industry
Serafeim, George, and Benjamin Maletta. "Investing in the Climate Transition at Neuberger Berman." Harvard Business School Case 123-092, June 2023.
- June 2023
- Article
Regulatory Limits to Risk Management
By: Ishita Sen
Variable annuities, the largest liability of U.S. life insurers, are investment products containing long-dated minimum return guarantees. I show that guarantees with similar economic risks are treated differently by regulation and these differences impact insurers’...
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Keywords:
Interest Rate Risk;
Variable Annuities;
Capital Regulation;
Reinsurance;
Derivatives;
Risk Management;
Interest Rates;
Governing Rules, Regulations, and Reforms
Sen, Ishita. "Regulatory Limits to Risk Management." Review of Financial Studies 36, no. 6 (June 2023): 2175–2223.
- 2024
- Working Paper
Using LLMs for Market Research
By: James Brand, Ayelet Israeli and Donald Ngwe
Large language models (LLMs) have rapidly gained popularity as labor-augmenting
tools for programming, writing, and many other processes that benefit from quick text
generation. In this paper we explore the uses and benefits of LLMs for researchers and
practitioners...
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Keywords:
Large Language Model;
Research;
AI and Machine Learning;
Analysis;
Customers;
Consumer Behavior;
Technology Industry;
Information Technology Industry
Brand, James, Ayelet Israeli, and Donald Ngwe. "Using LLMs for Market Research." Harvard Business School Working Paper, No. 23-062, April 2023. (Revised July 2024.)
- 2023
- Working Paper
The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities
By: David S. Scharfstein and Sergey Chernenko
We show that the use of algorithms to predict race has significant limitations in measuring and understanding the sources of racial disparities in finance, economics, and other contexts. First, we derive theoretically the direction and magnitude of measurement bias in...
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Keywords:
Racial Disparity;
Paycheck Protection Program;
Measurement Error;
AI and Machine Learning;
Race;
Measurement and Metrics;
Equality and Inequality;
Prejudice and Bias;
Forecasting and Prediction;
Outcome or Result
Scharfstein, David S., and Sergey Chernenko. "The Limits of Algorithmic Measures of Race in Studies of Outcome Disparities." Working Paper, April 2023.
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first...
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Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- 2023
- Article
Experimental Evaluation of Individualized Treatment Rules
By: Kosuke Imai and Michael Lingzhi Li
The increasing availability of individual-level data has led to numerous applications of individualized (or personalized) treatment rules (ITRs). Policy makers often wish to empirically evaluate ITRs and compare their relative performance before implementing them in a...
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Keywords:
Causal Inference;
Heterogeneous Treatment Effects;
Precision Medicine;
Uplift Modeling;
Analytics and Data Science;
AI and Machine Learning
Imai, Kosuke, and Michael Lingzhi Li. "Experimental Evaluation of Individualized Treatment Rules." Journal of the American Statistical Association 118, no. 541 (2023): 242–256.