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- November–December 2022
- Article
The Value of Descriptive Analytics: Evidence from Online Retailers
By: Ron Berman and Ayelet Israeli
Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an...
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Keywords:
Descriptive Analytics;
Big Data;
Synthetic Control;
E-commerce;
Online Retail;
Difference-in-differences;
Martech;
Internet and the Web;
Analytics and Data Science;
Performance;
Marketing;
Retail Industry
Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Marketing Science 41, no. 6 (November–December 2022): 1074–1096.
- August, 2022
- Article
Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the United States
By: Vasiliki Fouka and Marco Tabellini
How do social group boundaries evolve? Does the appearance of a new outgroup change the ingroup's perceptions of other outgroups? We introduce a conceptual framework of context-dependent categorization, in which exposure to one minority leads to recategorization of...
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Keywords:
In-group-out-group Relations;
Ingroup-outgroup Relations;
Immigration;
Race;
Relationships;
United States
Fouka, Vasiliki, and Marco Tabellini. "Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the United States." American Political Science Review 116, no. 3 (August, 2022): 968–984. (Featured in the Boston Globe, Washington Post, and HBS Working Knowledge.)
- Article
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
We explain when and how staggered difference-in-differences regression estimators, commonly applied to assess the impact of policy changes, are biased. These biases are likely to be relevant for a large portion of research settings in finance, accounting, and law that...
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Keywords:
Difference In Differences;
Staggered Difference-in-differences Designs;
Generalized Difference-in-differences;
Dynamic Treatment Effects;
Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" Journal of Financial Economics 144, no. 2 (May 2022): 370–395. (Editor's Choice, May 2022.)
- May 2022
- Article
When Does Product Liability Risk Chill Innovation? Evidence from Medical Implants
By: Alberto Galasso and Hong Luo
Liability laws designed to compensate for harms caused by defective products may also affect innovation. We examine this issue by exploiting a major quasi-exogenous increase in liability risk faced by U.S. suppliers of polymers used to manufacture medical implants....
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Keywords:
Product Liability;
Innovation;
Tort;
Medical Devices;
Vertical Foreclosure;
Product;
Innovation and Invention;
Legal Liability;
Laws and Statutes;
Medical Devices and Supplies Industry
Galasso, Alberto, and Hong Luo. "When Does Product Liability Risk Chill Innovation? Evidence from Medical Implants." American Economic Journal: Economic Policy 14, no. 2 (May 2022): 366–401.
- 2022
- Working Paper
A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure
By: Jesse M. Shapiro and Liyang Sun
Linear panel models featuring unit and time fixed effects appear in many areas of empirical economics. An active literature studies the interpretation of the ordinary least squares estimator of the model, commonly called the two-way fixed effects (TWFE) estimator, in...
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Shapiro, Jesse M., and Liyang Sun. "A Linear Panel Model with Heterogeneous Coefficients and Variation in Exposure." NBER Working Paper Series, No. 29976, April 2022.
- January 2022
- Article
Why Is Corporate Virtue in the Eye of the Beholder? The Case of ESG Ratings
By: Dane Christensen, George Serafeim and Anywhere Sikochi
Despite the rising use of environmental, social, and governance (ESG) ratings, there is substantial disagreement across rating agencies regarding what rating to give to individual firms. As what drives this disagreement is unclear, we examine whether a firm’s ESG...
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Keywords:
ESG Ratings;
Rating Agency Disagreement;
ESG Disclosure;
Corporate Social Responsibility;
Sustainability;
Corporate Social Responsibility and Impact;
Environmental Sustainability;
Corporate Disclosure
Christensen, Dane, George Serafeim, and Anywhere Sikochi. "Why Is Corporate Virtue in the Eye of the Beholder? The Case of ESG Ratings." Accounting Review 97, no. 1 (January 2022): 147–175.
- November 2021
- Article
Strict ID Laws Don't Stop Voters: Evidence from a U.S. Nationwide Panel, 2008–2018
By: Enrico Cantoni and Vincent Pons
U.S. states increasingly require identification to vote—an ostensive attempt to deter fraud that prompts complaints of selective disenfranchisement. Using a difference-in-differences design on a 1.6-billion-observations panel dataset, 2008–2018, we find that the laws...
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Keywords:
Voter ID Laws;
Voter Turnout;
Voting;
Political Elections;
Governing Rules, Regulations, and Reforms;
United States
Cantoni, Enrico, and Vincent Pons. "Strict ID Laws Don't Stop Voters: Evidence from a U.S. Nationwide Panel, 2008–2018." Quarterly Journal of Economics 136, no. 4 (November 2021): 2615–2660.
- 2021
- Working Paper
Science-Based Carbon Emissions Targets
By: David Freiberg, Jody Grewal and George Serafeim
We examine the effect of voluntarily adopting a standard for setting science-based carbon emissions targets on target difficulty and investments to achieve those targets. We find that firms with a track record of setting and achieving ambitious carbon targets are more...
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Keywords:
Target;
Targeting;
Target-setting;
Target Efficiency;
Management Control Systems;
Management Accounting;
Environment;
Environmental And Social Sustainability;
Climate Change;
Environmental Management;
Environmental Accounting;
Environmental Sustainability;
Management Analysis, Tools, and Techniques
Freiberg, David, Jody Grewal, and George Serafeim. "Science-Based Carbon Emissions Targets." Harvard Business School Working Paper, No. 21-108, March 2021.
- 2021
- Working Paper
How Much Should We Trust Staggered Difference-In-Differences Estimates?
By: Andrew C. Baker, David F. Larcker and Charles C.Y. Wang
Difference-in-differences analysis with staggered treatment timing is frequently used to assess the impact of policy changes on corporate outcomes in academic research. However, recent advances in econometric theory show that such designs are likely to be biased in the...
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Keywords:
Difference In Differences;
Staggered Difference-in-differences Designs;
Generalized Difference-in-differences;
Dynamic Treatment Effects;
Mathematical Methods
Baker, Andrew C., David F. Larcker, and Charles C.Y. Wang. "How Much Should We Trust Staggered Difference-In-Differences Estimates?" European Corporate Governance Institute Finance Working Paper, No. 736/2021, February 2021. (Harvard Business School Working Paper, No. 21-112, April 2021.)
- 2021
- Working Paper
The Value of Descriptive Analytics: Evidence from Online Retailers
By: Ron Berman and Ayelet Israeli
Does the adoption of descriptive analytics impact online retailer performance, and if so, how? We use the synthetic difference-in-differences method to analyze the staggered adoption of a retail analytics dashboard by more than 1,500 e-commerce websites, and we find an...
View Details
Keywords:
Descriptive Analytics;
Big Data;
Synthetic Control;
E-commerce;
Online Retail;
Difference-in-differences;
Martech;
Internet and the Web;
Analytics and Data Science;
Performance;
Retail Industry
Berman, Ron, and Ayelet Israeli. "The Value of Descriptive Analytics: Evidence from Online Retailers." Harvard Business School Working Paper, No. 21-067, November 2020. (Revised December 2021. Accepted at Marketing Science.)
- 2021
- Working Paper
Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the U.S.
By: Vasiliki Fouka and Marco Tabellini
How do social group boundaries evolve? Does the appearance of a new outgroup change the ingroup's perceptions of other outgroups? We introduce a conceptual framework of context-dependent categorization, in which exposure to one minority leads to recategorization of...
View Details
Keywords:
In-group-out-group Relations;
Immigration;
Race;
Attitudes;
Boundaries;
Prejudice and Bias
Fouka, Vasiliki, and Marco Tabellini. "Changing Ingroup Boundaries: The Effect of Immigration on Race Relations in the U.S." Harvard Business School Working Paper, No. 20-100, March 2020. (Accepted at American Political Science Review. Revised June 2021.)
- 2019
- Working Paper
Who Should Select New Employees, Headquarters or the Unit Manager? Consequences of Centralizing Hiring at a Retail Chain
By: Carolyn Deller and Tatiana Sandino
We examine how changing the allocation of hiring decision rights in a multiunit organization affects employee-firm match quality, contingent on a unit’s circumstances. Our research site, a US retail chain, switched from a decentralized hiring model (hiring by business...
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Keywords:
Control;
Selection;
Decentralization;
Company Values;
Retail Chains;
Decision Making;
Economics;
Geography;
Employees;
Selection and Staffing;
Organizational Design;
Situation or Environment;
Retail Industry
Deller, Carolyn, and Tatiana Sandino. "Who Should Select New Employees, Headquarters or the Unit Manager? Consequences of Centralizing Hiring at a Retail Chain." Harvard Business School Series in Accounting and Control, No. 16-088, January 2016. (Revised August 2019. Forthcoming in The Accounting Review.)
- Forthcoming
- Article
Brokerage House Initial Public Offerings and Analyst Forecast Quality
By: Mark Bradshaw, Michael Drake, Joseph Pacelli and Brady Twedt
We examine how brokerage firm initial public offerings (IPOs) influence the research quality of sell-side analysts employed by the brokerage. Our main results focus on earnings forecast bias and absolute forecast errors as proxies for research quality. Using a...
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Keywords:
IPOs;
Research Analysts;
"Brokerage Industry;
Initial Public Offering;
Employees;
Behavior;
Outcome or Result
Bradshaw, Mark, Michael Drake, Joseph Pacelli, and Brady Twedt. "Brokerage House Initial Public Offerings and Analyst Forecast Quality." Management Science (forthcoming). (Pre-published online December 7, 2022.)