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  • All HBS Web  (345)
    • News  (11)
    • Research  (300)
    • Events  (4)
  • Faculty Publications  (126)

Show Results For

  • All HBS Web  (345)
    • News  (11)
    • Research  (300)
    • Events  (4)
  • Faculty Publications  (126)
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  • Working Paper

The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation

By: Tatyana Deryugina, Alexander MacKay and Julian Reif
Economic theory suggests that demand is more elastic in the long run relative to the short run, but evidence on the empirical relevance of this phenomenon is scarce. We study the dynamics of residential electricity demand by exploiting price variation arising from a... View Details
Keywords: Energy; Demand and Consumers; Price; Policy; Mathematical Methods
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Deryugina, Tatyana, Alexander MacKay, and Julian Reif. "The Long-Run Dynamics of Electricity Demand: Evidence from Municipal Aggregation." NBER Working Paper Series, No. 23483, October 2017.
  • July 2014
  • Article

Accounting for Crises

By: Venky Nagar and Gwen Yu
We provide among the first empirical evidence consistent with recent macro global-game crisis models, which show that the precision of public signals can coordinate crises (e.g., Angeletos and Werning, 2006; Morris and Shin, 2002, 2003). In these models,... View Details
Keywords: Corporate Disclosure; Mathematical Methods; Game Theory; Financial Markets; Forecasting and Prediction; Accounting; Financial Crisis
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Nagar, Venky, and Gwen Yu. "Accounting for Crises." American Economic Journal: Macroeconomics 6, no. 3 (July 2014): 184–213.
  • Research Summary

Overview

By: Andy Wu
How can technology entrepreneurs build competitive advantage from the ground up? Professor Andy Wu conducts scholarly research and develops course materials that document how technology entrepreneurs can (1) organize for innovation to create new market opportunities... View Details
Keywords: Strategy; Entrepreneurship; Venture Capital; Growth Management; Organizational Design; Organizational Structure; Technology Platform; Technological Innovation; Information Technology Industry; Retail Industry; Pharmaceutical Industry; Video Game Industry; Media and Broadcasting Industry; United States; China; Southeast Asia; South Asia
  • 28 Nov 2011
  • Research & Ideas

Rethinking the Fairness of Organ Transplants

A proposal out of Harvard and MIT to rethink how kidney transplants are allocated could result in a fairer system giving patients longer lives. The new empirical model, which is intensely data driven, would provide a flexible framework to... View Details
Keywords: by Dennis Fisher; Health
  • 2017
  • Working Paper

Identifying Sources of Inefficiency in Health Care

By: Amitabh Chandra and Douglas O. Staiger
In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. However, an... View Details
Keywords: Health Care and Treatment; Performance Efficiency; Performance Productivity; Mathematical Methods
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Chandra, Amitabh, and Douglas O. Staiger. "Identifying Sources of Inefficiency in Health Care." NBER Working Paper Series, No. 24035, November 2017.
  • 11 Dec 2007
  • First Look

First Look: December 11, 2007

method patents that were litigated compared to patents that were not litigated offer empirical evidence supporting the hypotheses.   Cases & Course MaterialsThe AtekPC Project Management Office Harvard... View Details
Keywords: Martha Lagace
  • May 2020
  • Article

Identifying Sources of Inefficiency in Health Care

By: Amitabh Chandra and Douglas O. Staiger
In medicine, the reasons for variation in treatment rates across hospitals serving similar patients are not well understood. Some interpret this variation as unwarranted and push standardization of care as a way of reducing allocative inefficiency. However, an... View Details
Keywords: Health Care and Treatment; Performance Efficiency; Performance Productivity; Mathematical Methods
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Chandra, Amitabh, and Douglas O. Staiger. "Identifying Sources of Inefficiency in Health Care." Quarterly Journal of Economics 135, no. 2 (May 2020): 785–843.
  • October 2011
  • Article

The Surprising Power of Age-Dependent Taxes

By: Matthew C. Weinzierl
This article provides a new, empirically driven application of the dynamic Mirrleesian framework by studying a feasible and potentially powerful tax reform: age-dependent labor income taxation. I show analytically how age dependence improves policy on both the... View Details
Keywords: Taxation; Policy; Age; Income; Mathematical Methods; Welfare; United States
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Weinzierl, Matthew C. "The Surprising Power of Age-Dependent Taxes." Review of Economic Studies 78, no. 4 (October 2011): 1490–1518. (Also Harvard Business School Working Paper, No. 11-114, May 2011.)
  • 2023
  • Article

Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness

By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
Keywords: AI and Machine Learning; Mathematical Methods
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Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
  • 23 May 2023
  • Research & Ideas

Face Value: Do Certain Physical Features Help People Get Ahead?

not even be aware of how much someone’s facial attributes are driving interpersonal judgments,” Zhang says. An empirical method for capturing charisma Traditionally, people assess charisma based on... View Details
Keywords: by Kara Baskin
  • 20 Feb 2018
  • First Look

First Look at New Research and Ideas, February 20, 2018

priors/worldviews, or relevant features of a problem not being top of mind. Most research studying such losses does not empirically distinguish between these mechanisms. Instead, we show that most highly cited papers in this area presume... View Details
Keywords: Sean Silverthorne
  • 2023
  • Article

On Minimizing the Impact of Dataset Shifts on Actionable Explanations

By: Anna P. Meyer, Dan Ley, Suraj Srinivas and Himabindu Lakkaraju
The Right to Explanation is an important regulatory principle that allows individuals to request actionable explanations for algorithmic decisions. However, several technical challenges arise when providing such actionable explanations in practice. For instance, models... View Details
Keywords: Mathematical Methods; Analytics and Data Science
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Meyer, Anna P., Dan Ley, Suraj Srinivas, and Himabindu Lakkaraju. "On Minimizing the Impact of Dataset Shifts on Actionable Explanations." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 39th (2023): 1434–1444.
  • 2024
  • Working Paper

Fiscal Policy under Convex Supply Curves

By: Shlok Goyal, Avi Lipton and Borui Niklas Zhu
Recent empirical evidence suggests that supply curves are convex. Supply curve convexity is at odds with conventional Phillips curves, which rely on an infinitely elastic underlying supply curve. This paper explores the effect of supply curve convexity on the... View Details
Keywords: Fiscal Stimulus; Fiscal Policy; Inflation; Inflation and Deflation; Macroeconomics; Policy; Mathematical Methods; United States
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Goyal, Shlok, Avi Lipton, and Borui Niklas Zhu. "Fiscal Policy under Convex Supply Curves." Working Paper, August 2024.
  • 21 Oct 2014
  • First Look

First Look: October 21

cross-sectional empirical evidence is most persuasive in favor of agency considerations. Studies centered on the May 2003 dividend tax cut confirm that differences in the taxation of dividends and capital gains have only a second-order... View Details
Keywords: Sean Silverthorne
  • 29 Jul 2002
  • Research & Ideas

Time Pressure and Creativity: Why Time is Not on Your Side

empirical research on time pressure and creativity in organizations, and the results were somewhat contradictory. Over the past few years, there's been more and more talk about time pressure in organizations, and what a prominent feature... View Details
Keywords: by Sean Silverthorne; Education; Fine Arts
  • 09 Mar 2010
  • First Look

First Look: March 9

the Panama Canal to make use of both conventional historical methods and the tools of quantitative analysis, The Big Ditch examines the impact of the Panama Canal on the Republic of Panama, the United States, and the world. Noel Maurer... View Details
Keywords: Martha Lagace
  • May 2010
  • Article

Bye Bye Bundles: The Unbundling of Music in Digital Channels

By: Anita Elberse
Fueled by digital distribution, unbundling is prevalent in many information industries. What is the effect of this unbundling on sales? And what bundle characteristics drive this effect? I empirically examine these questions in the context of the music industry, using... View Details
Keywords: Unbundling; Bundling; Digital Distribution; System-of-equations Modeling; Sales; Distribution Channels; Framework; Mathematical Methods; Revenue; Reputation; Internet and the Web; System; E-commerce; Information Industry; Music Industry
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Elberse, Anita. "Bye Bye Bundles: The Unbundling of Music in Digital Channels." Journal of Marketing 74, no. 3 (May 2010): 107–123.
  • Article

Oracle Efficient Private Non-Convex Optimization

By: Seth Neel, Aaron Leon Roth, Giuseppe Vietri and Zhiwei Steven Wu
One of the most effective algorithms for differentially private learning and optimization is objective perturbation. This technique augments a given optimization problem (e.g. deriving from an ERM problem) with a random linear term, and then exactly solves it.... View Details
Keywords: Machine Learning; Algorithms; Objective Perturbation; Mathematical Methods
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Neel, Seth, Aaron Leon Roth, Giuseppe Vietri, and Zhiwei Steven Wu. "Oracle Efficient Private Non-Convex Optimization." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020).
  • 2023
  • Working Paper

Distributionally Robust Causal Inference with Observational Data

By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Keywords: AI and Machine Learning; Mathematical Methods
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Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
  • 2011
  • Working Paper

Price Competition under Multinomial Logit Demand Functions with Random Coefficients

In this paper, we postulate a general class of price competition models with Mixed Multinomial Logit demand functions under affine cost functions. We first characterize the equilibrium behavior of this class of models in the case where each product in the market is... View Details
Keywords: Customers; Income Characteristics; Price; Product Marketing; Mathematical Methods; Competition; Segmentation
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Allon, Gad, Awi Federgruen, and Margaret Pierson. "Price Competition under Multinomial Logit Demand Functions with Random Coefficients." Harvard Business School Working Paper, No. 12-030, October 2011.
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