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2011
Working Paper

The Flexible Substitution Logit: Uncovering Category Expansion and Share Impacts of Marketing Instruments

By: Qiang Liu, Thomas J. Steenburgh and Sachin Gupta

Different instruments are relevant for different marketing objectives (category demand expansion or market share stealing). To help brand managers make informed marketing mix decisions, it is essential that marketing mix models appropriately measure the different... View Details

Keywords: Decision Choices and Conditions; Forecasting and Prediction; Investment; Brands and Branding; Marketing Strategy; Demand and Consumers; Mathematical Methods

13 Oct 2006
Working Paper Summaries

Pricing Liquidity: The Quantity Structure of Immediacy Prices

Keywords: by George C. Chacko, Jakub W. Jurek & Erik Stafford

October 2013 (Revised December 2013)
Case

Intuit QuickBooks: From Product to Platform

By: Andrei Hagiu and Elizabeth J. Altman

This case focuses on the challenges and opportunities faced by a successful incumbent organization attempting to transform a large portion of its business from a traditionally product-centric operating mode to a platform-based one that leverages network effects to... View Details

Keywords: Business Model; Organizational Change and Adaptation; Digital Platforms; Competitive Advantage; Network Effects; Consumer Products Industry

January 2020
Article

Rethinking Measurement of Pay Disparity and Its Relation to Firm Performance

By: Ethan Rouen

I develop measures of firm-level pay disparity and examine their relation to firm performance. Using comprehensive compensation data for a large sample of firms, I find no statistically significant relation between the ratio of CEO-to-mean employee compensation and... View Details

Keywords: Pay Disparity; Pay Ratio; CEO Pay Ratio; Income Inequality; Executive Compensation; Employees; Wages; Equality and Inequality; Business Ventures; Performance

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Research Summary

Overcoming Large-N, Small-T Issues in Asset Pricing Tests

The large-N, small-T (i.e. large cross-section, short time series) nature of our asset data presents serious estimation problems for empirical asset pricing. In response, the literature tests asset pricing models against 10-25 test assets or portfolios. A... View Details

February 2008 (Revised November 2008)
Case

Radical Collaboration: IBM Microelectronics Joint Development Alliances

By: Willy Shih, Gary Pisano and Andrew A. King

IBM's "Radical Collaboration" model has been an innovative approach to meeting the challenges of the huge R&D and capital investments that are needed to stay competitive in the global semiconductor industry. This model has required a rethinking of what is proprietary,... View Details

Keywords: Cost Management; Investment; Collaborative Innovation and Invention; Problems and Challenges; Alliances; Networks; Partners and Partnerships; Research and Development; Competitive Advantage; Semiconductor Industry

June 2019
Article

Social Risk, Fiscal Risk, and the Portfolio of Government Programs

By: Samuel G. Hanson, David S. Scharfstein and Adi Sunderam

We develop a model of government portfolio choice in which a benevolent government chooses the scale of risky projects in the presence of market failures and tax distortions. These two frictions generate motives to manage social risk and fiscal risk. Social risk... View Details

Keywords: Risk Management; Government and Politics; Programs

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September 2018
Article

Asset Price Dynamics in Partially Segmented Markets

By: Robin Greenwood, Samuel G. Hanson and Gordon Y. Liao

We develop a model in which capital moves quickly within an asset class but slowly between asset classes. While most investors specialize in a single asset class, a handful of generalists can gradually reallocate capital across markets. Upon the arrival... View Details

Keywords: System Shocks; Asset Pricing

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June 2014
Article

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: Motivation and Incentives; Behavior; Attitudes; Philanthropy and Charitable Giving

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July 2023 (Revised May 2024)
Case

Vytal: Packaging-as-a-Service

By: George Serafeim, Michael W. Toffel, Lena Duchene and Daniela Beyersdorfer

The Germany-based startup Vytal operated the largest digital-native reusable packaging-as-a-service network globally, having raised nearly €15 million, established a large network of restaurant partners, and prevented the use of millions of single-use take-out food... View Details

April 2015
Case

Carolinas HealthCare System: Consumer Analytics

By: John A. Quelch and Margaret L. Rodriguez

In 2014, Dr. Michael Dulin, chief clinical officer for analytics and outcomes research and head of the Dickson Advanced Analytics (DA2) group at Carolinas HealthCare System (CHS), successfully unified all analytics talent and resources into one group over a three year... View Details

Keywords: Consumer Segmentation; Big Data; Management Information Systems; Hospital Management; Health Care and Treatment; Marketing; Segmentation; Analytics and Data Science; Information Management; Information Technology; Health; Health Industry; United States

2012
Working Paper

The Need for (long) Chains in Kidney Exchange

By: Itai Ashlagi, David Gamarnik, Michael A. Rees and Alvin E. Roth

It has been previously shown that for sufficiently large pools of patient-donor pairs, (almost) efficient kidney exchange can be achieved by using at most 3-way cycles, i.e., by using cycles among no more than 3 patient-donor pairs. However, as kidney exchange has... View Details

Keywords: Networks; Complexity; Performance Efficiency; Medical Specialties; Health Care and Treatment; Philanthropy and Charitable Giving

Article

Soul and Machine (Learning)

By: Davide Proserpio, John R. Hauser, Xiao Liu, Tomomichi Amano, Burnap Alex, Tong Guo, Dokyun (DK) Lee, Randall Lewis, Kanishka Misra, Eric Schwarz, Artem Timoshenko, Lilei Xu and Hema Yoganarasimhan

Machine learning is bringing us self-driving cars, medical diagnoses, and language translation, but how can machine learning help marketers improve marketing decisions? Machine learning models predict extremely well, are scalable to “big data,” and are a natural fit to... View Details

Keywords: Machine Learning; Marketing Applications; Knowledge; Technological Innovation; Core Relationships; Marketing; Applications and Software

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20 Oct 2011
Research & Ideas

Getting the Marketing Mix Right

whereas gains from detailing would come at the expense of competing drugs (84 percent). By contrast, the random coefficient logit model predicted that gains from DTCA, M&E, and detailing would come View Details

Keywords: by Dina Gerdeman

2008
Working Paper

Allocating Marketing Resources

By: Sunil Gupta and Thomas J. Steenburgh

Marketing is essential for the organic growth of a company. Not surprisingly, firms spend billions of dollars on marketing. Given these large investments, marketing managers have the responsibility to optimally allocate these resources and demonstrate that these... View Details

Keywords: Investment Return; Resource Allocation; Marketing; Demand and Consumers; Mathematical Methods

2008
Chapter

Allocating Marketing Resources

By: Sunil Gupta and Thomas J. Steenburgh

Companies spend billions of dollars on marketing every year because it is essential to organic growth. Given these large investments, marketing managers have the responsibility to optimally allocate resources and to demonstrate that their investments generate... View Details

Keywords: Investment Return; Resource Allocation; Marketing; Demand and Consumers; Mathematical Methods

2014
Chapter

The Intensive Margin of Technology Adoption

By: Diego A. Comin

We present a tractable model for analyzing the relationship between economic growth and the intensive and extensive margins of technology adoption. The "extensive" margin refers to the timing of a country's adoption of a new technology; the "intensive" margin refers to... View Details

Keywords: Economic Growth; Microeconomics; Cross-Cultural and Cross-Border Issues; Analytics and Data Science; Growth and Development Strategy; Relationships; Technology Adoption

January 2009 (Revised October 2012)
Case

Semiconductor Manufacturing International Corporation: 'Reverse BOT'

Semiconductor Manufacturing International Corporation (SMIC) is executing a strategy that leverages the desires of municipalities in China to build clusters of high technology companies. By partnering with those cities to build new semiconductor fabs that SMIC would... View Details

Keywords: Growth and Development Strategy; Industry Clusters; Infrastructure; State Ownership; Business and Community Relations; Semiconductor Industry; China

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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23 Jun 2009
First Look

First Look: June 23

However, for many allocation of indivisible goods models (see Velez, 2008, and references therein), fairness can be restored if a sufficiently large amount of money is available for distribution/compensation... View Details

Keywords: Martha Lagace

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