Publications

February 26, 2024
Article

Making Workplaces Safer Through Machine Learning

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

Machine learning algorithms can dramatically improve regulatory effectiveness. This short article describes the authors' scholarly work that shows how the U.S. Occupational Safety and Health Administration (OSHA) could have reduced nearly twice as many occupational... View Details

Keywords: Government Experimentation; Auditing; Inspection; Evaluation; Process Improvement; Government Administration; AI and Machine Learning; Safety; Governing Rules, Regulations, and Reforms

2023
Working Paper

Healthcare Provider Bankruptcies

By: Samuel Antill, Jessica Bai, Ashvin Gandhi and Adrienne Sabety

Healthcare firms are increasingly filing for Chapter 11 bankruptcy. Using two strategies, we show causal evidence that bankruptcies harm patients through increased worker turnover. First, in an online experiment, experienced nurses assess hypothetical employers and... View Details

Keywords: Insolvency and Bankruptcy; Health Care and Treatment; Outcome or Result; Retention; Health Industry

October 2023
Article

Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

We study how a regulator can best target inspections. Our case study is a U.S. Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details

Keywords: Safety Regulations; Regulations; Regulatory Enforcement; Machine Learning Models; Safety; Operations; Service Operations; Production; Forecasting and Prediction; Decisions; United States

August 2023 (Revised October 2023)
Case

Beyond the Barricades: Chile 2023

By: Debora Spar, Willis Emmons, Leonard A. Schlesinger and Ruth Costas

Chile, often considered among Latin America's greatest economic success stories, suffered a shocking wave of protests in October 2019, as its citizens demanded reforms across healthcare and education systems, and protested inequality and rising costs of living. As... View Details

Keywords: Government Administration; Developing Countries and Economies; Economic Growth; Social Issues; Wealth and Poverty; Public Opinion; Equality and Inequality; Public Administration Industry; Chile; Latin America; South America

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April–May 2021
Article

The Effect of Retaliation Costs on Employee Whistleblowing

By: Jonas Heese and Gerardo Pérez Cavazos

We use large increases in unemployment insurance (UI) benefits to study the effects of expected retaliation costs on employee whistleblowing. Increases in UI benefits reduce the costs that arise from a job loss, one of the costliest forms of retaliation. We find that... View Details

Keywords: Employee Whistleblowing; Retaliation Costs; Labor Unemployment Insurance; Workplace Safety Inspections

SSRN

June 2020
Article

How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections

By: Maria Ibanez and Michael W. Toffel

Accuracy and consistency are critical for inspections to be an effective, fair, and useful tool for assessing risks, quality, and suppliers—and for making decisions based on those assessments. We examine how inspector schedules could introduce bias that erodes... View Details

Keywords: Assessment; Bias; Inspection; Scheduling; Econometric Analysis; Empirical Research; Regulation; Health; Food; Safety; Quality; Performance Consistency; Governing Rules, Regulations, and Reforms

December 2019
Article

The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment

By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira

Many online stores are designed such that shoppers can easily access any available discounted products. We propose that deliberately increasing search frictions by placing small obstacles to locating discounted items can improve online retailers’ margins and even... View Details

Keywords: Online Retailing; Friction; Effor; Search Costs; Price Discrimination; Marketing; Consumer Behavior; Strategy; Price; E-commerce; Retail Industry; Fashion Industry

2020
Working Paper

Improving Regulatory Effectiveness Through Better Targeting: Evidence from OSHA

By: Matthew S. Johnson, David I. Levine and Michael W. Toffel

We study how a regulator can best target inspections. Our case study is a US Occupational Safety and Health Administration (OSHA) program that randomly allocated some inspections. On average, each inspection averted 2.4 serious injuries (9%) over the next five years.... View Details

Keywords: Government Administration; Working Conditions; Safety; Quality; Production; Analysis; Resource Allocation; Manufacturing Industry; United States

SSRN

May 16, 2019
Article

To Improve Food Inspections, Change the Way They're Scheduled

By: Maria Ibanez and Michael W. Toffel

Health inspections are an important tool to increase food safety, but there are still 48 million cases of food-borne illnesses and 128,000 hospitalizations every year in the United States. Our research finds that inspectors reported fewer health code violations as they... View Details

Keywords: Inspection; Scheduling; Food; Safety; Health; Governing Rules, Regulations, and Reforms; Performance Improvement

2019
Working Paper

The Impact of Increasing Search Frictions on Online Shopping Behavior: Evidence from a Field Experiment

By: Donald Ngwe, Kris J. Ferreira and Thales Teixeira

Keywords: E-commerce; Online Retailing; Friction; Effor; Search Costs; Price Discrimination; Consumer Behavior; Price; Search Technology

October 2017
Case

Shift Technologies, Inc.

By: Thomas Eisenmann and Nicole Tempest Keller

In 2017, management at Shift, an online marketplace that uses a “high touch,” concierge approach to buy and sell used cars, was formulating plans for the San Francisco–based startup’s next phase of expansion. One option was to preserve Shift’s current business model... View Details

Keywords: Entrepreneurship; Market Design; Multi-Sided Platforms; Marketplace Matching; Growth and Development Strategy; Decision Choices and Conditions; Auto Industry; Retail Industry; United States

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October 2017 (Revised April 2018)
Case

Improving Worker Safety in the Era of Machine Learning (A)

By: Michael W. Toffel, Dan Levy, Jose Ramon Morales Arilla and Matthew S. Johnson

Managers make predictions all the time: How fast will my markets grow? How much inventory do I need? How intensively should I monitor my suppliers? Which potential customers will be most responsive to a particular marketing campaign? Which job candidates should I... View Details

Keywords: Machine Learning; Policy Implementation; Empirical Research; Inspection; Occupational Safety; Occupational Health; Regulation; Analysis; Forecasting and Prediction; Policy; Operations; Supply Chain Management; Safety; Manufacturing Industry; Construction Industry; United States

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2018
Working Paper

How Scheduling Can Bias Quality Assessment: Evidence from Food Safety Inspections

By: Maria Ibanez and Michael W. Toffel

Many production processes are subject to inspection to ensure they meet quality, safety, and environmental standards imposed by companies and regulators. Inspection accuracy is critical to inspections being a useful input to assessing risks, allocating quality... View Details

SSRN

Fall 2016
Article

The Integrity of Private Third-party Compliance Monitoring

By: Jodi L. Short and Michael W. Toffel

Government agencies are increasingly turning to private, third-party monitors to inspect and assess regulated entities’ compliance with law. The integrity of these regulatory regimes rests on the validity of the information third-party monitors provide to regulators.... View Details

Keywords: Regulation; Compliance; Compliance Policies; Conflict Of Interest; Independent Third Party; Inspection; Audit Quality; Auditor; Audit; Environment; Safety; Conflict of Interests; Working Conditions; Labor; Corporate Social Responsibility and Impact; Governance Compliance; Accounting Audits

Article

Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca

The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details

Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics