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Publications

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  • All HBS Web  (302)
    • News  (22)
    • Research  (250)
    • Events  (4)
  • Faculty Publications  (230)

Show Results For

  • All HBS Web  (302)
    • News  (22)
    • Research  (250)
    • Events  (4)
  • Faculty Publications  (230)
← Page 8 of 302 Results →
  • 2008
  • Working Paper

Taste Heterogeneity, IIA, and the Similarity Critique

By: Thomas J. Steenburgh and Andrew Ainslie

The purpose of this paper is to show that allowing for taste heterogeneity does not address the similarity critique of discrete-choice models. Although IIA may technically be broken in aggregate, the mixed logit model allows neither a given individual nor the... View Details

Keywords: Decision Choices and Conditions; Mathematical Methods; Behavior; Prejudice and Bias
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Steenburgh, Thomas J., and Andrew Ainslie. "Taste Heterogeneity, IIA, and the Similarity Critique." Harvard Business School Working Paper, No. 09-049, September 2008.
  • 2011
  • Working Paper

Charitable Giving When Altruism and Similarity Are Linked

By: Julio J. Rotemberg
This paper presents a model in which anonymous charitable donations are rationalized by two human tendencies drawn from the psychology literature. The first is people's disproportionate disposition to help those they agree with while the second is the dependence of... View Details
Keywords: Philanthropy and Charitable Giving; Mathematical Methods; Attitudes; Interests; Perception; Wealth and Poverty
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Rotemberg, Julio J. "Charitable Giving When Altruism and Similarity Are Linked." NBER Working Paper Series, No. 17585, November 2011.
  • 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.
  • 2010
  • Working Paper

Quality Provision, Expected Firm Altruism and Brand Extensions

By: Julio J. Rotemberg
This paper studies quality choice in a model where consumers expect firms to act altruistically. It is shown that, under plausible assumptions regarding this altruism and the reaction of consumers to firms that demonstrate insufficient altruism, existing firms (or... View Details
Keywords: Brands and Branding; Consumer Behavior; Product Development; Corporate Social Responsibility and Impact; Quality; Mathematical Methods
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Rotemberg, Julio J. "Quality Provision, Expected Firm Altruism and Brand Extensions." NBER Working Paper Series, No. 15635, January 2010.
  • September 2010
  • Article

Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?

By: Saravanan Kesavan, Vishal Gaur and Ananth Raman
Firm-level sales forecasts for retailers can be improved if we incorporate cost of goods sold, inventory, and gross margin (defined here as the ratio of sales to cost of goods sold) as three endogenous variables. We construct a simultaneous equations model, estimated... View Details
Keywords: Sales; Forecasting and Prediction; Distribution; Goods and Commodities; Cost; Public Sector; Profit; Mathematical Methods; Analytics and Data Science; Retail Industry; United States
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Kesavan, Saravanan, Vishal Gaur, and Ananth Raman. "Do Inventory and Gross Margin Data Improve Sales Forecasts for U.S. Public Retailers?" Management Science 56, no. 9 (September 2010): 1519–1533.
  • Article

Fly-by-Night Firms and the Market for Product Reviews

By: Gerald R. Faulhaber and Dennis A. Yao
This paper presents a model that permits third-party information provision in a market characterized by information asymmetries and reputation formation. The model is used to examine how the market for information provision affects prices and supply in the primary... View Details
Keywords: Markets; Reputation; SWOT Analysis; Mathematical Methods; Price Bubble; Inflation and Deflation; Duopoly and Oligopoly; Cost; Information; Quality; Price; Competitive Advantage; Information Industry
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Faulhaber, Gerald R., and Dennis A. Yao. "Fly-by-Night Firms and the Market for Product Reviews." Journal of Industrial Economics 38, no. 1 (September 1989): 65–77. (Harvard users click here for full text.)
  • March 1989 (Revised April 1998)
  • Case

Marriott Corporation: The Cost of Capital (Abridged)

By: Richard S. Ruback
Gives students the opportunity to explore how a company uses the Capital Asset Pricing Model (CAPM) to compute the cost of capital for each of its divisions. The use of Weighted Average Cost of Capital (WACC) formula and the mechanics of applying it are stressed. View Details
Keywords: Cost of Capital; Mathematical Methods
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Ruback, Richard S. "Marriott Corporation: The Cost of Capital (Abridged)." Harvard Business School Case 289-047, March 1989. (Revised April 1998.)
  • February 2010
  • Supplement

Marketing Analysis Toolkit: Breakeven Analysis (CW)

By: Thomas J. Steenburgh and Jill Avery
This Excel worksheet contains sample problems, prebuilt Excel models to run breakeven analyses, and charts and graphs which help visualize the results. It is designed to accompany "Marketing Analysis Toolkit: Breakeven Analysis." View Details
Keywords: Mathematical Methods; Marketing; Decisions; Planning; Marketing Strategy; Management Analysis, Tools, and Techniques
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Steenburgh, Thomas J., and Jill Avery. "Marketing Analysis Toolkit: Breakeven Analysis (CW)." Harvard Business School Spreadsheet Supplement 510-713, February 2010.
  • 2001
  • Working Paper

When Does the Market Matter? Stock Prices and the Investment of Equity Dependent Firms

By: Malcolm Baker, Jeremy Stein and Jeffrey Wurgler
We use a simple model of corporate investment to determine when investment will be sensitive to non-fundamental movements in stock prices. The key cross-sectional prediction of the model is that stock prices will have a stronger impact on the investment of firms that... View Details
Keywords: Investment; Equity; Stocks; Price; Mathematical Methods; Forecasting and Prediction
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Baker, Malcolm, Jeremy Stein, and Jeffrey Wurgler. "When Does the Market Matter? Stock Prices and the Investment of Equity Dependent Firms." NBER Working Paper Series, No. 8750, December 2001. (First draft in 2001.)
  • 2005
  • Working Paper

Nominal versus Indexed Debt: A Quantitative Horse Race

By: Laura Alfaro and Fabio Kanczuk
The main arguments in favor of and against nominal and indexed debt are the incentive to default through inflation versus hedging against unforeseen shocks. We model and calibrate these arguments to assess their quantitative importance. We use a dynamic equilibrium... View Details
Keywords: Borrowing and Debt; Taxation; Risk and Uncertainty; Inflation and Deflation; System Shocks; Developing Countries and Economies; Mathematical Methods
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Alfaro, Laura, and Fabio Kanczuk. "Nominal versus Indexed Debt: A Quantitative Horse Race." Harvard Business School Working Paper, No. 05-053, January 2005. (Revised March 2010. Also NBER Working Paper No. 13131.)
  • November 2007
  • Background Note

Bayesian Estimation & Black-Litterman

By: Joshua D. Coval and Erik Stafford
Describes a practical method for asset allocation that is more robust to estimation errors than the traditional implementation of mean-variance optimization with sample means and covariances. The Bayesian inspired Black-Litterman model is described after introducing... View Details
Keywords: Asset Management; Investment Portfolio; Mathematical Methods
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Coval, Joshua D., and Erik Stafford. "Bayesian Estimation & Black-Litterman." Harvard Business School Background Note 208-085, November 2007.
  • spring 1987
  • Article

Second-Sourcing and the Experience Curve: Price Competition in Defense Procurement

By: James J. Anton and Dennis A. Yao
We examine a dynamic model of price competition in defense procurement that incorporates the experience curve, asymmetric cost information, and the availability of a higher cost alternative system. We model acquisition as a two-stage process in which initial production... View Details
Keywords: Acquisition; Government and Politics; Price; Competition; Mathematical Methods
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Anton, James J., and Dennis A. Yao. "Second-Sourcing and the Experience Curve: Price Competition in Defense Procurement." RAND Journal of Economics 18, no. 1 (spring 1987): 57–76. (Harvard users click here for full text.)
  • May 2017
  • Article

Agent-based Modeling: A Guide for Social Psychologists

By: Joshua Conrad Jackson, David Rand, Kevin Lewis, Michael I. Norton and Kurt Gray
Agent-based modeling is a longstanding but underused method that allows researchers to simulate artificial worlds for hypothesis testing and theory building. Agent-based models (ABMs) offer unprecedented control and statistical power by allowing researchers to... View Details
Keywords: Social Psychology; Marketing; Mathematical Methods
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Jackson, Joshua Conrad, David Rand, Kevin Lewis, Michael I. Norton, and Kurt Gray. "Agent-based Modeling: A Guide for Social Psychologists." Social Psychological & Personality Science 8, no. 4 (May 2017): 387–395.
  • October 2007
  • Case

The AtekPC Project Management Office

By: F. Warren McFarlan, Mark Keil and John Hupp
Presents one company's efforts to implement a project management organization, or PMO, and the challenges they faced in doing so. Issues brought out in the case include defining the PMO's purpose and mission, the structure and governance of the PMO, and how to... View Details
Keywords: Projects; Goals and Objectives; Technological Innovation; Information Technology; Business Strategy; Mathematical Methods; Consulting Industry
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McFarlan, F. Warren, Mark Keil, and John Hupp. "The AtekPC Project Management Office." Harvard Business School Case 308-049, October 2007.
  • 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.
  • 2020
  • Working Paper

Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach

By: Eva Ascarza
The success of Customer Relationship Management (CRM) programs ultimately depends on the firm's ability to understand consumers' preferences and precisely capture how these preferences may differ across customers. Only by understanding customer heterogeneity, firms can... View Details
Keywords: Customer Management; Targeting; Deep Exponential Families; Probabilistic Machine Learning; Cold Start Problem; Customer Relationship Management; Customer Value and Value Chain; Consumer Behavior; Analytics and Data Science; Mathematical Methods; Retail Industry
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Padilla, Nicolas, and Eva Ascarza. "Overcoming the Cold Start Problem of CRM Using a Probabilistic Machine Learning Approach." Harvard Business School Working Paper, No. 19-091, February 2019. (Revised May 2020. Accepted at the Journal of Marketing Research.)
  • 2022
  • Article

Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations

By: Jessica Dai, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach and Himabindu Lakkaraju
As post hoc explanation methods are increasingly being leveraged to explain complex models in high-stakes settings, it becomes critical to ensure that the quality of the resulting explanations is consistently high across all subgroups of a population. For instance, it... View Details
Keywords: Prejudice and Bias; Mathematical Methods; Research; Analytics and Data Science
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Dai, Jessica, Sohini Upadhyay, Ulrich Aivodji, Stephen Bach, and Himabindu Lakkaraju. "Fairness via Explanation Quality: Evaluating Disparities in the Quality of Post hoc Explanations." Proceedings of the AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (2022): 203–214.
  • October 1, 2021
  • Article

An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance.

By: B.M. Balk, M.R. De Koster, Christian Kaps and J.L. Zofio
Cross-efficiency measurement is an extension of Data Envelopment Analysis that allows for tie-breaking ranking of the Decision Making Units (DMUs) using all the peer evaluations. In this article we examine the theory of cross-efficiency measurement by comparing a... View Details
Keywords: Efficiency Analysis; Performance Benchmarking; Warehousing; Analytics and Data Science; Performance Evaluation; Measurement and Metrics; Mathematical Methods
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Balk, B.M., M.R. De Koster, Christian Kaps, and J.L. Zofio. "An Evaluation of Cross-efficiency Methods: With an Application to Warehouse Performance." Art. 126261. Applied Mathematics and Computation 406 (October 1, 2021).
  • Web

Faculty & Advisors | MBA

Fund, an impact investment fund he co-founded in 2016 that has used a venture philanthropic model to catalyze over $700 million of private capital investment in type one diabetes (T1D) cure therapeutics. Sean has held a range of volunteer... View Details
  • 2009
  • Working Paper

Altruistic Dynamic Pricing with Customer Regret

By: Julio J. Rotemberg
A model is considered where firms internalize the regret costs that consumers experience when they see an unexpected price change. Regret costs are assumed to be increasing in the size of price changes and this can explain why the size of price increases is less... View Details
Keywords: Inflation and Deflation; Price; Marketing; Consumer Behavior; Mathematical Methods
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Rotemberg, Julio J. "Altruistic Dynamic Pricing with Customer Regret." NBER Working Paper Series, No. 14933, April 2009.
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