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- September–October 2023
- Article
The New Era of Industrial Policy Is Here
By: Willy C. Shih
Governments around the world are increasingly intervening in the private sector through industrial policies designed to help domestic sectors reach goals that markets alone are unlikely to achieve. Companies in targeted sectors—such as automakers, energy companies, and...
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Keywords:
Policy;
Government and Politics;
Business and Government Relations;
Research and Development;
Economic Sectors
Shih, Willy C. "The New Era of Industrial Policy Is Here." Harvard Business Review 101, no. 5 (September–October 2023): 66–75.
- June 2023
- Simulation
Artea Dashboard and Targeting Policy Evaluation
By: Ayelet Israeli and Eva Ascarza
Companies deploy A/B experiments to gain valuable insights about their customers in order to answer strategic business problems. In marketing, A/B tests are often used to evaluate marketing interventions intended to generate incremental outcomes for the firm. The Artea...
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Keywords:
Algorithm Bias;
Algorithmic Data;
Race And Ethnicity;
Experimentation;
Promotion;
Marketing And Society;
Big Data;
Privacy;
Data-driven Management;
Data Analysis;
Data Analytics;
E-Commerce Strategy;
Discrimination;
Targeted Advertising;
Targeted Policies;
Pricing Algorithms;
A/B Testing;
Ethical Decision Making;
Customer Base Analysis;
Customer Heterogeneity;
Coupons;
Marketing;
Race;
Gender;
Diversity;
Customer Relationship Management;
Marketing Communications;
Advertising;
Decision Making;
Ethics;
E-commerce;
Analytics and Data Science;
Retail Industry;
Apparel and Accessories Industry;
United States
- 2023
- Working Paper
Crowding in Private Quality: The Equilibrium Effects of Public Spending in Education
By: Tahir Andrabi, Natalie Bau, Jishnu Das, Asim Ijaz Khwaja and Naureen Karachiwalla
We estimate the equilibrium effects of a public-school grant program administered through school councils in Pakistani villages with multiple public and private schools and clearly defined catchment boundaries. The program was randomized at the village-level, allowing...
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Andrabi, Tahir, Natalie Bau, Jishnu Das, Asim Ijaz Khwaja, and Naureen Karachiwalla. "Crowding in Private Quality: The Equilibrium Effects of Public Spending in Education." NBER Working Paper Series, No. 30929, February 2023.
- 2023
- Working Paper
Life After Death: A Field Experiment with Small Businesses on Information Frictions, Stigma, and Bankruptcy
By: Shai Benjamin Bernstein, Emanuele Colonnelli, Mitchell Hoffman and Benjamin Iverson
In a randomized control trial (RCT) with U.S. small businesses, we document that a large share of firms are not well-informed about bankruptcy. Many assume that bankruptcy necessarily entails the death of a business and do not know about Chapter 11 bankruptcy, where...
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Bernstein, Shai Benjamin, Emanuele Colonnelli, Mitchell Hoffman, and Benjamin Iverson. "Life After Death: A Field Experiment with Small Businesses on Information Frictions, Stigma, and Bankruptcy." NBER Working Paper Series, No. 30933, February 2023.
- 2023
- Working Paper
Is Pay Transparency Good?
By: Zoë Cullen
Countries around the world are enacting pay transparency policies to combat pay discrimination.
71% of OECD countries have done so since 2000. Most are enacting transparency horizontally,
revealing pay between co-workers of similar seniority within a firm. While...
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Keywords:
Pay Transparency;
Trends;
Transition;
Communication Strategy;
Wages;
Policy;
Europe;
North America;
Australia
Cullen, Zoë. "Is Pay Transparency Good?" Harvard Business School Working Paper, No. 23-039, January 2023. (Revised March 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.
- 2022
- Working Paper
Regulatory Incentives for Innovation: The FDA's Breakthrough Therapy Designation
By: Amitabh Chandra, Jennifer Kao, Kathleen Miller and Ariel D. Stern
Regulators of new products confront a tradeoff between speeding a new product to market and collecting additional product quality information. The FDA’s Breakthrough Therapy Designation (BTD) provides an opportunity to understand if a regulator can use new policy to...
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Chandra, Amitabh, Jennifer Kao, Kathleen Miller, and Ariel D. Stern. "Regulatory Incentives for Innovation: The FDA's Breakthrough Therapy Designation." NBER Working Paper Series, No. 30712, December 2022.
- 2023
- Working Paper
Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals
By: Ta-Wei Huang and Eva Ascarza
Firms are increasingly interested in developing targeted interventions for customers with the best response,
which requires identifying differences in customer sensitivity, typically through the conditional average treatment
effect (CATE) estimation. In theory, to...
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Keywords:
Long-run Targeting;
Heterogeneous Treatment Effect;
Statistical Surrogacy;
Customer Churn;
Field Experiments;
Consumer Behavior;
Customer Focus and Relationships;
AI and Machine Learning;
Marketing
Huang, Ta-Wei, and Eva Ascarza. "Doing More with Less: Overcoming Ineffective Long-Term Targeting Using Short-Term Signals." Harvard Business School Working Paper, No. 23-023, October 2022. (Revised April 2023.)
- 2022
- Article
Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response
By: Alexander MacKay and Samuel N. Weinstein
Pricing algorithms are rapidly transforming markets, from ride-sharing apps, to air travel, to online retail. Regulators and scholars have watched this development with a wary eye. Their focus so far has been on the potential for pricing algorithms to facilitate...
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Keywords:
Competition Policy;
Regulation;
Algorithmic Pricing;
Dynamic Pricing;
Economics;
Law And Economics;
Law And Regulation;
Consumer Protection;
Antitrust Law;
Industrial Organization;
Antitrust Issues And Policies;
Technological Change: Choices And Consequences;
Competition;
Policy;
Price;
Governing Rules, Regulations, and Reforms;
Microeconomics;
Duopoly and Oligopoly;
Law
MacKay, Alexander, and Samuel N. Weinstein. "Dynamic Pricing Algorithms, Consumer Harm, and Regulatory Response." Washington University Law Review 100, no. 1 (2022): 111–174. (Direct download.)
- 2022
- Article
Rapid Growth of Remote Patient Monitoring Is Driven by a Small Number of Primary Care Providers
By: Mitchell Tang, Ateev Mehrotra and Ariel Dora Stern
Growing enthusiasm for remote patient monitoring has been motivated by the hope that it can improve care for patients with poorly controlled chronic illness. In a national commercially insured population in the U.S., we found that billing for remote patient monitoring...
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Keywords:
Remote Monitoring;
Medical Billing;
Health Care Costs;
Telehealth;
Diabetes;
Chronic Disease;
Insurance Claims;
Diseases;
Primary Care Providers;
COVID-19 Pandemic;
Health Care and Treatment;
Insurance;
Cost;
Health Industry;
United States
Tang, Mitchell, Ateev Mehrotra, and Ariel Dora Stern. "Rapid Growth of Remote Patient Monitoring Is Driven by a Small Number of Primary Care Providers." Health Affairs 41, no. 9 (2022): 1248–1254.
- 2023
- Working Paper
Can Finance Save the World? Measurement and Effects of Bank Coal Exit Policies
By: Daniel Green and Boris Vallée
We study whether exit policies by financial institutions are an effective tool to address climate change, using bank policies targeting the coal industry around the world as a laboratory. In contrast to theories predicting divestment to be ineffective because capital...
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Keywords:
Coal Power;
Climate Change;
Investment;
Environmental Sustainability;
Policy;
Financing and Loans;
Energy Industry;
Banking Industry
Green, Daniel, and Boris Vallée. "Can Finance Save the World? Measurement and Effects of Bank Coal Exit Policies." Working Paper, June 2023.
- 2022
- Working Paper
Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register
By: Laura Alfaro, Ester Faia and Camelia Minoiu
We examine the consequences of monetary policy on racial disparities, focusing on the role of bank lending to firms through collateral and selection channels. Leveraging comprehensive loan-level data from the U.S. credit register (Y-14Q) of the Federal Reserve, we show...
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Keywords:
Monetary Policy Transmission;
Inequity;
Credit Registry;
Wealth;
Collateral Channel;
Selection;
Racial Disparity;
Racial Inequality;
Equality and Inequality;
Banks and Banking;
Credit;
Governing Rules, Regulations, and Reforms;
Banking Industry;
United States
Alfaro, Laura, Ester Faia, and Camelia Minoiu. "Distributional Consequences of Monetary Policy Across Races: Evidence from the U.S. Credit Register." Harvard Business School Working Paper, No. 22-068, April 2022.
- 2022
- Chapter
Lessons Learned from Support to Business during COVID-19
By: Gabriel Chodorow-Reich, Benjamin Iverson and Adi Sunderam
The authors survey the new federal subsidies and loans provided to businesses in the first year of the pandemic—including the Paycheck Protection Program (PPP), the Economic Injury Disaster Loan (EIDL) program, and aid targeted at specific industries such as airlines...
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Chodorow-Reich, Gabriel, Benjamin Iverson, and Adi Sunderam. "Lessons Learned from Support to Business during COVID-19." Chap. 4 in Recession Remedies: Lessons Learned from the U.S. Economic Policy Response to COVID-19, edited by Wendy Edelberg, Louise Sheiner, and David Wessel, 123–162. Brookings Institution Press, 2022.
- April 2022
- Article
Going Out or Opting Out? Capital, Political Vulnerability, and the State in China's Outward Investment
By: Meg Rithmire
How do state-business relations interact with outward investment in authoritarian regimes? This paper examines this question in the context of China’s rapid transformation into a major capital exporter. While most political economy scholarship focuses on firms’...
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Keywords:
Outward Investment;
Capital Controls;
Corruption;
Foreign Direct Investment;
Political Economy;
State-owned Enterprises;
Investment;
Global Range;
Capital;
Globalization;
Policy;
Government and Politics;
China
Rithmire, Meg. "Going Out or Opting Out? Capital, Political Vulnerability, and the State in China's Outward Investment." Comparative Politics 54, no. 3 (April 2022): 477–499.
- Article
Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)
By: Eva Ascarza and Ayelet Israeli
An inherent risk of algorithmic personalization is disproportionate targeting of individuals from certain groups (or demographic characteristics such as gender or race), even when the decision maker does not intend to discriminate based on those “protected”... View Details
Keywords:
Algorithm Bias;
Personalization;
Targeting;
Generalized Random Forests (GRF);
Discrimination;
Customization and Personalization;
Decision Making;
Fairness;
Mathematical Methods
Ascarza, Eva, and Ayelet Israeli. "Eliminating Unintended Bias in Personalized Policies Using Bias-Eliminating Adapted Trees (BEAT)." e2115126119. Proceedings of the National Academy of Sciences 119, no. 11 (March 8, 2022).
- February 2022
- Case
CityScore: Big Data Comes to Boston
By: Boris Groysberg and Sarah L. Abbott
In 2016, Martin “Marty” Walsh, the Mayor of Boston, introduced CityScore, a data dashboard that measured the city’s progress across a range of metrics. The dashboard was updated daily and publicly available. The mayor frequently discussed the CityScore targets in...
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Keywords:
Analytics and Data Science;
Government Administration;
Leadership;
Transformation;
City;
Measurement and Metrics;
Public Administration Industry;
Boston;
United States
Groysberg, Boris, and Sarah L. Abbott. "CityScore: Big Data Comes to Boston." Harvard Business School Case 422-050, February 2022.
- Article
Megastudies Improve the Impact of Applied Behavioural Science
By: Katherine L. Milkman, Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman and Angela L. Duckworth
Policy-makers are increasingly turning to behavioural science for insights about how to improve citizens’ decisions and outcomes. Typically, different scientists test different intervention ideas in different samples using different outcomes over different time...
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Milkman, Katherine L., Dena Gromet, Hung Ho, Joseph S. Kay, Timothy W. Lee, Pepi Pandiloski, Yeji Park, Aneesh Rai, Max Bazerman, John Beshears, Lauri Bonacorsi, Colin Camerer, Edward Chang, Gretchen Chapman, Robert Cialdini, Hengchen Dai, Lauren Eskreis-Winkler, Ayelet Fishbach, James J. Gross, Samantha Horn, Alexa Hubbard, Steven J. Jones, Dean Karlan, Tim Kautz, Erika Kirgios, Joowon Klusowski, Ariella Kristal, Rahul Ladhania, Jens Ludwig, George Loewenstein, Barbara Mellers, Sendhil Mullainathan, Silvia Saccardo, Jann Spiess, Gaurav Suri, Joachim H. Talloen, Jamie Taxer, Yaacov Trope, Lyle Ungar, Kevin G. Volpp, Ashley V. Whillans, Jonathan Zinman, and Angela L. Duckworth. "Megastudies Improve the Impact of Applied Behavioural Science." Nature 600, no. 7889 (December 16, 2021): 478–483.
- Article
A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects
By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun
We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public...
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Keywords:
Prescriptive Analytics;
Heterogeneous Treatment Effects;
Optimization;
Observed Rank Utility Condition (OUR);
Between-treatment Heterogeneity;
Machine Learning;
Decision Making;
Analysis;
Mathematical Methods
McFowland III, Edward, Sandeep Gangarapu, Ravi Bapna, and Tianshu Sun. "A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects." MIS Quarterly 45, no. 4 (December 2021): 1807–1832.
- Article
Regulating Hospital Prices Based on Market Concentration Is Likely to Leave High-Price Hospitals Unaffected
By: Maximilian J. Pany, Michael E. Chernew and Leemore S. Dafny
Concern about high hospital prices for commercially insured patients has motivated several proposals to regulate these prices. Such proposals often limit regulations to highly concentrated hospital markets. Using a large sample of 2017 US commercial insurance claims,...
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Keywords:
Health Care Providers;
Hospitals;
Insurance Market Regulation;
Price Regulation;
Markets;
Health Care and Treatment;
Cost;
Quality;
Insurance;
Price;
Governing Rules, Regulations, and Reforms
Pany, Maximilian J., Michael E. Chernew, and Leemore S. Dafny. "Regulating Hospital Prices Based on Market Concentration Is Likely to Leave High-Price Hospitals Unaffected." Health Affairs 40, no. 9 (September 2021): 1386–1394.
- July 2021
- Article
Invisible Inequality Leads to Punishing the Poor and Rewarding the Rich
By: Oliver P. Hauser, Gordon T. Kraft-Todd, David Rand, Martin A. Nowak and Michael I. Norton
Four experiments examine how the lack of awareness of inequality affects behaviour towards the rich and poor. In Experiment 1, participants who became aware that wealthy individuals donated a smaller percentage of their income switched from rewarding the wealthy to...
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Keywords:
Income Transparency;
Income;
Wealth;
Equality and Inequality;
Knowledge;
Behavior;
Outcome or Result;
Society;
Policy
Hauser, Oliver P., Gordon T. Kraft-Todd, David Rand, Martin A. Nowak, and Michael I. Norton. "Invisible Inequality Leads to Punishing the Poor and Rewarding the Rich." Behavioural Public Policy 5, no. 3 (July 2021): 333–353.