Publications

2025
Working Paper

Private Equity and Workers: Modeling and Measuring Monopsony, Implicit Contracts, and Efficient Reallocation

By: Kyle Herkenhoff, Josh Lerner, Gordon M. Phillips, Francisca Rebelo and Benjamin Sampson

We measure the real effects of private equity buyouts on worker outcomes by building a new database that links transactions to matched employer-employee data in the United States. To guide our empirical analysis, we derive testable implications from three theories in... View Details

Keywords: Monopsony; Market Power; Productivity; Private Equity; Employment; Wages; Employees

September 2022
Technical Note

Addressing Social Determinants of Health in the American Landscape

By: Susanna Gallani and Jacob Riegler

Social determinants of health (SDOH) have gained significant attention in recent years. A growing body of research shows that a person’s health is influenced by a large number of non-genetic factors, most of which operate outside the realm of health care and are... View Details

Keywords: Socioeconomic Determinants Of Health; Social Determinants Of Health; Population Health; Health; Health Care and Treatment; Social Issues; Health Industry; Insurance Industry; Medical Devices and Supplies Industry; United States

Educators

Purchase

2010
Chapter

Measuring and Managing Macrofinancial Risk and Financial Stability: A New Framework

By: Dale F. Gray, Robert C. Merton and Zvi Bodie

This paper proposes a new approach to improve the way central banks can analyze and manage the financial risks of a national economy. It is based on the modern theory and practice of contingent claims analysis (CCA), which is successfully used today at the level of... View Details

Keywords: Financial Statements; Economy; Financial Condition; Central Banking; Management Analysis, Tools, and Techniques; Management Practices and Processes; Risk Management; Measurement and Metrics; System Shocks

2004
Chapter

Measuring the Value of Political Connections After Liberalization: Some Thoughts on Theoretical Constructs and Improved Research Design

By: Jordan I. Siegel

Scholars have recently begun to focus heightened attention on how firms in emerging economies react and even thrive during deep liberalization. Yet one fundamental question remains less than satisfactorily answered. How much in terms of scarce resources should firms in... View Details

Keywords: Liberalization; Emerging Economies; Political Connections; Business and Government Relations; Emerging Markets; Strategy

23 Sep 2008
Working Paper Summaries

New Framework for Measuring and Managing Macrofinancial Risk and Financial Stability

Keywords: by Dale F. Gray, Robert C. Merton & Zvi Bodie

Healthy Buildings: What Will We Measure and How Will We Know?

Three irreversible trends -- realization of the deep downside of bad public health and bad buildings; the access to and democratization of air quality data; and the relaxation of the need to be present in-person, face-to-face, day-to-day -- will forever change... View Details

Web

Faculty Insights: Performance Measurement for Effective Management of Nonprofit Organizations | Social Enterprise | Harvard Business School

27 Aug 2009
Working Paper Summaries

Measuring and Understanding Hierarchy as an Architectural Element in Industry Sectors

Keywords: by Jianxi Luo, Daniel E. Whitney, Carliss Y. Baldwin & Christopher L. Magee; Auto

30 Nov 2010
Working Paper Summaries

Near Real-Time Studies Look for Behavioral Measures Vital to Stopping Coronavirus

2008
Working Paper

New Framework for Measuring and Managing Macrofinancial Risk and Financial Stability

By: Dale F. Gray, Robert C. Merton and Zvi Bodie

This paper proposes a new approach to improve the way central banks can analyze and manage the financial risks of a national economy. It is based on the modern theory and practice of contingent claims analysis (CCA), which is successfully used today at the level of... View Details

Keywords: Financial Crisis; Macroeconomics; Central Banking; Risk Management

October 2017
Article

Progress In Interoperability: Measuring US Hospitals' Engagement In Sharing Patient Data

By: A Jay Holmgren, Vaishali Patel and Julia Adler-Milstein

Achieving an interoperable health care system remains a top US policy priority. Despite substantial efforts to encourage interoperability, the first set of national data in 2014 suggested that hospitals’ engagement levels were low. With 2015 data now available, we... View Details

Keywords: Health; Technology; Electronic Health Records; Health Care and Treatment; Data and Data Sets; Technology Networks; Policy; United States

Article

Value of New Performance Information in Healthcare: Evidence from Japan

By: Susanna Gallani, Takehisa Kajiwara and Ranjani Krishnan

Mandatory measurement and disclosure of outcome measures are commonly used policy tools in healthcare. The effectiveness of such disclosures relies on the extent to which the new information produced by the mandatory system is internalized by the healthcare... View Details

Keywords: Value Of Information; Feedback; Patient Satisfaction; Healthcare; Health Care and Treatment; Satisfaction; Information; Measurement and Metrics; Performance Improvement

13 Mar 2020
News

Former Best Buy CEO: Companies should 'pursue a noble purpose and good things'

December 2016
Module Note

Strategy Execution Module 10: Using the Job Design Optimization Tool to Build Effective Organizations

By: Robert Simons

This module reading provides directions for using the online Job Design Optimization Tool (JDOT) which is available free of charge from Harvard Business School Publishing at https://cb.hbsp.harvard.edu/cbmp/resources/marketing/multimedia/JDOT/index.html. This tool can... View Details

Keywords: Management Control Systems; Implementing Strategy; Execution; Span Of Control; Span Of Accountability; Performance Measurement; Job Design; Organization Design; Strategy; Entrepreneurship

Purchase

October–December 2022
Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

Register to Read

10 Feb 2016
News

Gap Year: Harvard And Stanford Help Boomers Find A Second Act With Purpose

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data,... View Details

September–October 2020
Article

Social-Impact Efforts That Create Real Value

By: George Serafeim

Until the mid-2010s few investors paid attention to environmental, social, and governance (ESG) data—information about companies’ carbon footprints, labor policies, board makeup, and so forth. Today the data is widely used by investors. How can organizations create... View Details