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- Other Article
Sustainable Strategies and Net-Zero Goals
By: Mark L. Frigo, Robert S. Kaplan and Karthik Ramanna
In a recent Harvard Business Review article, Kaplan and Ramanna describe a rigorous approach, the E-liability method, for companies’ ESG reporting, especially as it pertains to GHG emissions measurements. They argue that the current standards for measuring...
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- January 2022
- Background Note
Common Prosperity? China Shifts Left
By: William C. Kirby and Noah B. Truwit
Since the founding of the People’s Republic of China in 1949, the ruling Chinese Communist Party (CCP) has been mistrustful of entrepreneurs and the private sector that operates outside the government’s authority. In its first decades under Mao Zedong, the CCP...
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Keywords:
Market Reform;
Gdp;
Government Administration;
Government and Politics;
Private Sector;
Governing Rules, Regulations, and Reforms;
Economy;
Globalized Economies and Regions;
Entrepreneurship;
Business and Government Relations;
Globalized Markets and Industries;
Social Issues;
Society;
Economic Growth;
China
- 2022
- White Paper
Building from the Bottom Up: What Business Can Do to Strengthen the Bottom Line by Investing in Front-line Workers
By: Joseph B. Fuller and Manjari Raman
A significant number of American workers—44%—are employed in low wage jobs at the front line of industries. Despite undertaking some of the most tedious, dirtiest, and most dangerous jobs, low-wage workers are—and have long been—the most likely to be overlooked by...
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- Article
Reliable Post hoc Explanations: Modeling Uncertainty in Explainability
By: Dylan Slack, Sophie Hilgard, Sameer Singh and Himabindu Lakkaraju
As black box explanations are increasingly being employed to establish model credibility in high stakes settings, it is important to ensure that these explanations are accurate and reliable. However, prior work demonstrates that explanations generated by...
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- August 2021
- Case
Fair Park Covid-19 Mass Vaccination Site (A)
By: Willy Shih
This case is an opportunity to apply the methods of the Toyota Production System (TPS) to the analysis of an everyday service application: administering Covid-19 vaccines. It describes the start-up of a drive-up Covid-19 mass vaccination site at the Texas State Fair...
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- August 2021
- Supplement
Fair Park Covid-19 Mass Vaccination Site (B)
By: Willy Shih
This case is an opportunity to apply the methods of the Toyota Production System (TPS) to the analysis of an everyday service application: administering Covid-19 vaccines. It describes the start-up of a drive-up Covid-19 mass vaccination site at the Texas State Fair...
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- Article
Towards the Unification and Robustness of Perturbation and Gradient Based Explanations
By: Sushant Agarwal, Shahin Jabbari, Chirag Agarwal, Sohini Upadhyay, Steven Wu and Himabindu Lakkaraju
As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner. In this work, we analyze two...
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- June 2021
- Technical Note
Introduction to Linear Regression
By: Michael Parzen and Paul J. Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical...
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- April 2021
- Article
Work-From-Anywhere: The Productivity Effects of Geographical Flexibility
By: Prithwiraj Choudhury, Cirrus Foroughi and Barbara Larson
An emerging form of remote work allows employees to work-from-anywhere, so that the worker can choose to live in a preferred geographic location. While traditional work-from-home (WFH) programs offer the worker temporal flexibility, work-from-anywhere (WFA) programs...
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- Mar 2021
- Conference Presentation
Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
By: Seth Neel, Aaron Leon Roth and Saeed Sharifi-Malvajerdi
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both...
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- March 2021
- Article
On the Direct and Indirect Real Effects of Credit Supply Shocks
By: Laura Alfaro, Manuel García-Santana and Enrique Moral-Benito
We explore the real effects of bank-lending shocks and how they permeate the economy through buyer-supplier linkages. We combine administrative data on all Spanish firms with a matched bank-firm-loan dataset of all corporate loans from 2003 to 2013 to estimate...
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- February 2021 (Revised March 2022)
- Supplement
The Coronavirus (COVID-19) Pandemic and the Global Economy (B)
By: Alberto Cavallo and Christian Godwin
By December 2020, the COVID-19 pandemic had swept across the globe, creating widespread disruption in all aspects of everyday life. Almost 90 million people had been infected and nearly two million had died from the disease. By this point in the pandemic—a year since...
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- February 2021
- Article
Do Household Wealth Shocks Affect Productivity? Evidence from Innovative Workers During the Great Recession
By: S. Bernstein, T. McQuade and R. Townsend
We investigate how the deterioration of household balance sheets affects worker productivity, and, in turn, economic downturns. Specifically, we compare the output of innovative workers who experienced differential declines in housing wealth during the financial crisis...
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- Article
Towards Robust and Reliable Algorithmic Recourse
By: Sohini Upadhyay, Shalmali Joshi and Himabindu Lakkaraju
As predictive models are increasingly being deployed in high-stakes decision making (e.g., loan
approvals), there has been growing interest in post-hoc techniques which provide recourse to affected
individuals. These techniques generate recourses under the assumption...
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- 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...
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- September 2020
- Article
Creativity, Artificial Intelligence, and a World of Surprises
In recent years, progress has been made toward AI Creativity, which I define as the production of highly novel, yet appropriate, ideas, problem solutions, or other outputs by autonomous machines. I argue that organizational researchers of creativity and innovation...
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- August 2020
- Article
Macroeconomic Drivers of Bond and Equity Risks
By: John Y. Campbell, Carolin E. Pflueger and Luis M. Viceira
Our new model of consumption-based habit generates time-varying risk premia on bonds and stocks from loglinear, homoskedastic macroeconomic dynamics. Consumers' first-order condition for the real risk-free bond generates an exactly loglinear consumption Euler equation,...
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- August 2020
- Article
Workplace Knowledge Flows
By: Jason Sandvik, Richard Saouma, Nathan Seegert and Christopher Stanton
We conducted a field experiment in a sales firm to test whether improving knowledge flows between coworkers affects productivity. Our design allows us to compare different management practices and to isolate whether frictions to knowledge transmission primarily reside...
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- 2020
- Working Paper
Research Subsidy Spillovers, Two Ways
By: Kyle Myers and Lauren Lanahan
We study how the outputs of research spill over technological and geographic space in the context of the U.S. Small Business Innovation Research program. We infer input-output links using text analyses and identify the marginal costs of producing patents using...
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- 2021
- Working Paper
International Evidence on the Effects of a Local Presence by U.S. Credit Rating Agencies
By: Liran Eliner, Michael Machokoto and Anywhere Sikochi
Major U.S. credit rating agencies are criticized for failing to understand developments in other economies and thereby impeding capital access by assigning lower ratings. Consistent with this, we find that Moody's and S&P credit ratings are more favorable after the...
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