Filter Results
:
(546)
Show Results For
-
All HBS Web
(2,102)
- Faculty Publications (546)
Show Results For
-
All HBS Web
(2,102)
- Faculty Publications (546)
- July 2022
- Article
Countercyclical Prudential Buffers and Bank Risk-taking
By: Manuel Illueca, Lars Norden, Joseph Pacelli and Gregory F. Udell
We investigate the effects of countercyclical prudential buffers on bank risk-taking. We exploit the introduction of dynamic loan loss provisioning in Spain, mandating that banks use historical average loss rates in their estimation of loan loss provisions. We find...
View Details
Keywords:
Banks;
Bank Regulation;
Macroprudential Policies;
Bank Lending;
Loan Loss Provisioning;
Risk Taking;
Banks and Banking;
Financing and Loans;
Governing Rules, Regulations, and Reforms;
Risk and Uncertainty
Illueca, Manuel, Lars Norden, Joseph Pacelli, and Gregory F. Udell. "Countercyclical Prudential Buffers and Bank Risk-taking." Art. 100961. Journal of Financial Intermediation 51 (July 2022).
- July 2022
- Article
Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy
By: Kyle Myers and Lauren Lanahan
We quantify the magnitude of R&D spillovers created by grants to small firms from the US Department of Energy. Our empirical strategy leverages variation due to state-specific matching policies, and we develop a new approach to measuring both geographic and...
View Details
Keywords:
Innovation;
Energy;
R&D;
Grants;
Innovation and Invention;
Research and Development;
Patents;
Performance;
United States
Myers, Kyle, and Lauren Lanahan. "Estimating Spillovers from Publicly Funded R&D: Evidence from the US Department of Energy." American Economic Review 112, no. 7 (July 2022): 2393–2423.
- 2022
- Working Paper
Measuring the Tolerance of the State: Theory and Application to Protest
By: Veli Andirin, Yusuf Neggers, Mehdi Shadmehr and Jesse M. Shapiro
We develop a measure of a regime's tolerance for an action by its citizens. We ground our measure in an economic model and apply it to the setting of political protest. In the model, a regime anticipating a protest can take a costly action to repress it. We define the...
View Details
Keywords:
Political Protests;
Modeling And Analysis;
Government and Politics;
Conflict and Resolution
Andirin, Veli, Yusuf Neggers, Mehdi Shadmehr, and Jesse M. Shapiro. "Measuring the Tolerance of the State: Theory and Application to Protest." NBER Working Paper Series, No. 30167, June 2022.
- June 2022
- Article
The Welfare Effects of Peer Entry in the Accommodation Market: The Case of Airbnb and the Accommodation Industry
By: Chiara Farronato and Andrey Fradkin
We study the effects of enabling peer supply through Airbnb in the accommodation industry. We present a model of competition between flexible and dedicated sellers—peer hosts and hotels—who provide differentiated products. We estimate this model using data from major...
View Details
Keywords:
Peer To Peer;
Airbnb;
Digital Platforms;
Market Entry and Exit;
Competition;
Accommodations Industry
Farronato, Chiara, and Andrey Fradkin. "The Welfare Effects of Peer Entry in the Accommodation Market: The Case of Airbnb and the Accommodation Industry." American Economic Review 112, no. 6 (June 2022): 1782–1817.
- 2022
- Working Paper
Are Experts Blinded by Feasibility?: Experimental Evidence from a NASA Robotics Challenge
By: Jacqueline N. Lane, Zoe Szajnfarber, Jason Crusan, Michael Menietti and Karim R. Lakhani
Resource allocation decisions play a dominant role in shaping a firm’s technological trajectory and competitive advantage. Recent work indicates that innovative firms and scientific institutions tend to exhibit an anti-novelty bias when evaluating new projects and...
View Details
Keywords:
Evaluations;
Novelty;
Feasibility;
Field Experiment;
Resource Allocation;
Technological Innovation;
Competitive Advantage;
Decision Making
Lane, Jacqueline N., Zoe Szajnfarber, Jason Crusan, Michael Menietti, and Karim R. Lakhani. "Are Experts Blinded by Feasibility? Experimental Evidence from a NASA Robotics Challenge." Harvard Business School Working Paper, No. 22-071, May 2022.
- Article
Do the Right Firms Survive Bankruptcy?
By: Samuel Antill
In U.S. Chapter 11 bankruptcy cases, firms are either reorganized, acquired, or liquidated. I show that decisions to liquidate often reduce creditor recovery, costing creditors billions of dollars every year. I exploit the within-district random assignment of...
View Details
Keywords:
Bankruptcy;
Bankruptcy Reorganization;
Recovery Rate;
Structural Estimation;
Roy Model;
363 Sales;
Insolvency and Bankruptcy;
Governing Rules, Regulations, and Reforms
Antill, Samuel. "Do the Right Firms Survive Bankruptcy?" Journal of Financial Economics 144, no. 2 (May 2022): 523–546.
- 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...
View Details
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; Jensen Prize, First Place, June 2023.)
- 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...
View Details
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.
- April–June 2022
- Other Article
Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'
There has been a substantial discussion in various methodological and applied literatures around causal inference; especially in the use of machine learning and statistical models to understand heterogeneity in treatment effects and to make optimal decision...
View Details
Keywords:
Causal Inference;
Treatment Effect Estimation;
Treatment Assignment Policy;
Human-in-the-loop;
Decision Making;
Fairness
McFowland III, Edward. "Commentary on 'Causal Decision Making and Causal Effect Estimation Are Not the Same... and Why It Matters'." INFORMS Journal on Data Science 1, no. 1 (April–June 2022): 21–22.
- April 2022
- Article
Does Context Outweigh Individual Characteristics in Driving Voting Behavior? Evidence from Relocations within the U.S.
By: Enrico Cantoni and Vincent Pons
We measure the overall influence of contextual versus individual factors (e.g., voting rules and media as opposed to race and education) on voter behavior, and explore underlying mechanisms. Using a U.S.-wide voter-level panel, 2008–18, we examine voters who relocate...
View Details
Keywords:
Voting;
Behavior;
Geographic Location;
Personal Characteristics;
Situation or Environment;
United States
Cantoni, Enrico, and Vincent Pons. "Does Context Outweigh Individual Characteristics in Driving Voting Behavior? Evidence from Relocations within the U.S." American Economic Review 112, no. 4 (April 2022): 1226–1272.
- March 2022
- Article
Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models
By: Fiammetta Menchetti and Iavor Bojinov
Researchers regularly use synthetic control methods for estimating causal effects when a sub-set of units receive a single persistent treatment, and the rest are unaffected by the change. In many applications, however, units not assigned to treatment are nevertheless...
View Details
Keywords:
Causal Inference;
Partial Interference;
Synthetic Controls;
Bayesian Structural Time Series;
Mathematical Methods
Menchetti, Fiammetta, and Iavor Bojinov. "Estimating the Effectiveness of Permanent Price Reductions for Competing Products Using Multivariate Bayesian Structural Time Series Models." Annals of Applied Statistics 16, no. 1 (March 2022): 414–435.
- Article
Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach
By: Akash Chattopadhyay, Matthew R. Lyle and Charles C.Y. Wang
This study provides the first large-scale study of the performance of expected-return proxies (ERPs) internationally. Analyst-forecast-based ICCs are sparsely populated and not robustly associated with future returns. Earnings-model-forecast-based ICCs are...
View Details
Keywords:
Expected Returns;
Discount Rates;
Fundamental Valuation;
Implied Cost Of Capital;
International Equity Markets;
Present Value;
Investment Return;
Equity;
Markets;
Global Range
Chattopadhyay, Akash, Matthew R. Lyle, and Charles C.Y. Wang. "Expected Stock Returns Worldwide: A Log-Linear Present-Value Approach." Accounting Review 97, no. 2 (March 2022): 107–133.
- March 2022
- Article
Learning to Rank an Assortment of Products
By: Kris Ferreira, Sunanda Parthasarathy and Shreyas Sekar
We consider the product ranking challenge that online retailers face when their customers typically behave as “window shoppers”: they form an impression of the assortment after browsing products ranked in the initial positions and then decide whether to continue...
View Details
Keywords:
Online Learning;
Product Ranking;
Assortment Optimization;
Learning;
Internet and the Web;
Product Marketing;
Consumer Behavior;
E-commerce
Ferreira, Kris, Sunanda Parthasarathy, and Shreyas Sekar. "Learning to Rank an Assortment of Products." Management Science 68, no. 3 (March 2022): 1828–1848.
- 2022
- Working Paper
Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments
By: Kosuke Imai and Michael Lingzhi Li
Researchers are increasingly turning to machine learning (ML) algorithms to investigate causal heterogeneity in randomized experiments. Despite their promise, ML algorithms may fail to accurately ascertain heterogeneous treatment effects under practical settings with...
View Details
Imai, Kosuke, and Michael Lingzhi Li. "Statistical Inference for Heterogeneous Treatment Effects Discovered by Generic Machine Learning in Randomized Experiments." Working Paper, March 2022.
- March 2022
- Article
Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field
Identifying high-growth microentrepreneurs in low-income countries remains a challenge due to a scarcity of verifiable information. With a cash grant experiment in India we demonstrate that community knowledge can help target high-growth microentrepreneurs; while the...
View Details
Keywords:
Microentrepreneurs;
Community Information;
Field Experiment;
Loans;
Entrepreneurship;
Developing Countries and Economies;
Financing and Loans;
Information;
Mathematical Methods;
India
Hussam, Reshmaan, Natalia Rigol, and Benjamin N. Roth. "Targeting High Ability Entrepreneurs Using Community Information: Mechanism Design in the Field." American Economic Review 112, no. 3 (March 2022): 861–898.
(Online Appendix with Corrigendum—Thanks to Isabella Masetto, Diego Ubfal, and The Institute for Replication for identifying a minor coding error in the production of Table 4.)
(Online Appendix with Corrigendum—Thanks to Isabella Masetto, Diego Ubfal, and The Institute for Replication for identifying a minor coding error in the production of Table 4.)
- March 2022
- Article
Where to Locate COVID-19 Mass Vaccination Facilities?
By: Dimitris Bertsimas, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li and Alessandro Previero
The outbreak of COVID-19 led to a record-breaking race to develop a vaccine. However, the limited vaccine capacity creates another massive challenge: how to distribute vaccines to mitigate the near-end impact of the pandemic? In the United States in particular, the new...
View Details
Keywords:
Vaccines;
COVID-19;
Health Care and Treatment;
Health Pandemics;
Performance Effectiveness;
Analytics and Data Science;
Mathematical Methods
Bertsimas, Dimitris, Vassilis Digalakis Jr, Alexander Jacquillat, Michael Lingzhi Li, and Alessandro Previero. "Where to Locate COVID-19 Mass Vaccination Facilities?" Naval Research Logistics Quarterly 69, no. 2 (March 2022): 179–200.
- February 2022
- Article
Borrowing to Save? The Impact of Automatic Enrollment on Debt
By: John Beshears, James J. Choi, David Laibson, Brigitte C. Madrian and William L. Skimmyhorn
Does automatic enrollment into a retirement plan increase financial distress due to increased borrowing outside the plan? We study a natural experiment created when the U.S. Army began automatically enrolling newly hired civilian employees into the Thrift Savings Plan....
View Details
Keywords:
Retirement Savings;
Automatic Enrollment;
Choice Architecture;
Nudge;
Financial Distress;
Retirement;
Saving;
Borrowing and Debt;
Behavior
Beshears, John, James J. Choi, David Laibson, Brigitte C. Madrian, and William L. Skimmyhorn. "Borrowing to Save? The Impact of Automatic Enrollment on Debt." Journal of Finance 77, no. 1 (February 2022): 403–447.
- 2022
- Working Paper
Electoral Turnovers
By: Benjamin Marx, Vincent Pons and Vincent Rollet
In most national elections, voters face a key choice between continuity and change. Electoral turnovers occur when the incumbent candidate or party fails to win reelection. To understand how turnovers affect national outcomes, we study the universe of presidential and...
View Details
Keywords:
Election Outcomes;
Regression Discontinuity Design;
Political Elections;
Change;
Global Range;
Outcome or Result;
Economy;
Governance;
Performance Improvement
Marx, Benjamin, Vincent Pons, and Vincent Rollet. "Electoral Turnovers." NBER Working Paper Series, No. 29766, February 2022. (Revise and resubmit requested, Review of Economic Studies.)
- 2022
- Working Paper
How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?
By: Leemore S. Dafny, Kate Ho and Edward Kong
Drug copayment coupons to reduce patient cost-sharing have become nearly ubiquitous for high-priced brand-name prescription drugs. Medicare bans such coupons on the grounds that they are kickbacks that induce utilization, but they are commonly used by...
View Details
Keywords:
Prescription Drugs;
Coupons;
Impact;
Health Care and Treatment;
Markets;
Price;
Spending;
Pharmaceutical Industry;
United States
Dafny, Leemore S., Kate Ho, and Edward Kong. "How Do Copayment Coupons Affect Branded Drug Prices and Quantities Purchased?" NBER Working Paper Series, No. 29735, February 2022.
- 2023
- Working Paper
Passive Ownership and Price Informativeness
By: Marco Sammon
I show that passive ownership negatively affects the degree to which stock prices anticipate earnings announcements. Estimates across several research designs imply that the rise in passive ownership over the last 30 years has caused the amount of information...
View Details
Keywords:
Passive Ownership;
ETFs;
Market Efficiency;
Ownership;
Price;
Theory;
Measurement and Metrics
Sammon, Marco. "Passive Ownership and Price Informativeness." Working Paper, March 2023.