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  • January 2013
  • Article

The Fog of Negotiation: What Negotiators Can Learn from Military Doctrine

By: Michael A. Wheeler
On the surface, warfare and negotiation may seem to be polar opposites. The objective in war is to defeat the enemy. In negotiation, the goal is to find a solution that satisfies all the parties. Not surprisingly, little cross-learning and exchange has occurred across... View Details
Keywords: Strategy; Leadership; War; Negotiation; Learning
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Wheeler, Michael A. "The Fog of Negotiation: What Negotiators Can Learn from Military Doctrine." Negotiation Journal 29, no. 1 (January 2013): 23–38.
  • August 2000
  • Case

Manila Water Company (A)

By: Michael Beer and Elizabeth Weldon
On February 3, 1997, the east zone of the Manila Metropolitan Water and Sewerage System (MWSS) was taken over by the Manila Water Co. (MWC), a newly created joint venture between the Ayala Corp., a large Filipino conglomerate; Bechtel Enterprises, Inc., an American... View Details
Keywords: Change Management; Organizational Change and Adaptation; Horizontal Integration; Privatization; Problems and Challenges; Utilities Industry
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Beer, Michael, and Elizabeth Weldon. "Manila Water Company (A)." Harvard Business School Case 401-014, August 2000.
  • 09 Sep 2014
  • First Look

First Look: September 9

  Publications September 2014 Cambridge University Press Consumer Lending in France and America: Credit and Welfare By: Trumbull, Gunnar Abstract—Why did America embrace consumer credit over the course of the twentieth century, when most other countries did not? How... View Details
Keywords: Sean Silverthorne
  • June 2012
  • Article

Consequence-Cause Matching: Looking to the Consequences of Events to Infer Their Causes

By: Robyn A. LeBoeuf and Michael I. Norton
We show that people non-normatively infer event causes from event consequences. For example, people inferred that a product failure (computer crash) had a large cause (widespread computer virus) if it had a large consequence (job loss), but that the identical failure... View Details
Keywords: Causal Inference; Product; Forecasting and Prediction; Motivation and Incentives; Failure
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LeBoeuf, Robyn A., and Michael I. Norton. "Consequence-Cause Matching: Looking to the Consequences of Events to Infer Their Causes." Journal of Consumer Research 39, no. 1 (June 2012): 128–141.
  • June 2009 (Revised July 2010)
  • Case

Microfin

By: Michael Chu and Enrique Kramer
The case presents the management dilemmas of a new institution in an undeveloped microfinance market in Latin America. Supported by a globally recognized industry player, it is the result of the efforts of two fledgling local entrepreneurs with a business model they... View Details
Keywords: Business Model; Developing Countries and Economies; Social Entrepreneurship; Microfinance; Governing Rules, Regulations, and Reforms; Industry Structures; Competitive Strategy; Financial Services Industry; Latin America
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Chu, Michael, and Enrique Kramer. "Microfin." Harvard Business School Case 309-126, June 2009. (Revised July 2010.)
  • Article

The Artful Dodger: Answering the Wrong Question the Right Way

By: Todd Rogers and Michael I. Norton
What happens when speakers try to "dodge" a question they would rather not answer by answering a different question? In 4 studies, we show that listeners can fail to detect dodges when speakers answer similar-but objectively incorrect-questions (the "artful dodge"), a... View Details
Keywords: Interpersonal Communication; Goals and Objectives
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Rogers, Todd, and Michael I. Norton. "The Artful Dodger: Answering the Wrong Question the Right Way." Journal of Experimental Psychology: Applied 17, no. 2 (June 2011): 139–147.
  • 21 Jun 2011
  • First Look

First Look: June 21

characterizes the financial world. They also overlook the role of natural selection. To be sure, natural selection in the financial world is not exactly analogous to the processes first described by Darwin and elaborated on View Details
Keywords: Sean Silverthorne
  • 2019
  • Article

An Empirical Study of Rich Subgroup Fairness for Machine Learning

By: Michael J Kearns, Seth Neel, Aaron Leon Roth and Zhiwei Steven Wu
Kearns et al. [2018] recently proposed a notion of rich subgroup fairness intended to bridge the gap between statistical and individual notions of fairness. Rich subgroup fairness picks a statistical fairness constraint (say, equalizing false positive rates across... View Details
Keywords: Machine Learning; Fairness; AI and Machine Learning
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Kearns, Michael J., Seth Neel, Aaron Leon Roth, and Zhiwei Steven Wu. "An Empirical Study of Rich Subgroup Fairness for Machine Learning." Proceedings of the Conference on Fairness, Accountability, and Transparency (2019): 100–109.
  • Article

Stability and Competitive Equilibrium in Trading Networks

By: John William Hatfield, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky and Alexander Westkamp
We introduce a model in which agents in a network can trade via bilateral contracts. We find that when continuous transfers are allowed and utilities are quasi-linear, the full substitutability of preferences is sufficient to guarantee the existence of stable outcomes... View Details
Keywords: Balance and Stability; Markets
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Hatfield, John William, Scott Duke Kominers, Alexandru Nichifor, Michael Ostrovsky, and Alexander Westkamp. "Stability and Competitive Equilibrium in Trading Networks." Journal of Political Economy 121, no. 5 (October 2013): 966–1001.
  • November 2024
  • Article

Perceptions About Monetary Policy

By: Michael D. Bauer, Carolin Pflueger and Adi Sunderam
We estimate perceptions about the Federal Reserve’s monetary policy rule from panel data on professional forecasts of interest rates and macroeconomic conditions. The perceived dependence of the federal funds rate on economic conditions varies substantially over time,... View Details
Keywords: Monetary Policy; Policy; Interest Rates; Perception; Economy; Forecasting and Prediction
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Bauer, Michael D., Carolin Pflueger, and Adi Sunderam. "Perceptions About Monetary Policy." Quarterly Journal of Economics 139, no. 4 (November 2024): 2227–2278.
  • October 2022
  • Exercise

Shanty Real Estate: Confidential Information for Homebuyer 1

By: Michael Luca, Jesse M. Shapiro and Nathan Sun
Shanty is a simulation in which students inhabit the role of either a traditional home buyer or an iBuyer, both bidding on the same condo. The traditional home buyer has access to a “comp sheet” of similar properties that have recently sold, and has done a walkthrough.... View Details
Keywords: Data-driven Decision-making; Decisions; Negotiation; Bids and Bidding; Valuation; Consumer Behavior; Real Estate Industry
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Luca, Michael, Jesse M. Shapiro, and Nathan Sun. "Shanty Real Estate: Confidential Information for Homebuyer 1." Harvard Business School Exercise 923-016, October 2022.
  • 25 Jun 2013
  • First Look

First Look: June 25

governments have started to list state-owned enterprises, have selected professional managers to run them, and have given them more financial autonomy. We argue that the transformation from owner and manager to majority shareholder has reduced many agency problems... View Details
Keywords: Anna Secino
  • 12 Jul 2016
  • First Look

July 12, 2016

on preventing them. She outlines five tactics that research has shown to be effective: encourage reciprocity. You can build trust and prompt other parties to disclose strategic information by sharing information yourself. Ask the right... View Details
Keywords: Sean Silverthorne
  • July 2012
  • Article

iPhones for Friends, Refrigerators for Family: How Products Prime Social Networks

By: Lalin Anik and Michael I. Norton
We show that priming consumers with products associated with specific social networks increases the salience of those networks, influencing both word-of-mouth intentions and consumption. Consumers were exposed to friend- or family-related products (e.g., game consoles... View Details
Keywords: Family and Family Relationships; Product; Customers; Familiarity; Social and Collaborative Networks
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Anik, Lalin, and Michael I. Norton. "iPhones for Friends, Refrigerators for Family: How Products Prime Social Networks." Social Influence 7, no. 3 (July 2012): 154–171.
  • 06 Sep 2016
  • First Look

September 6, 2016

negotiator who wants to be fair from the start ensure that his or her counterpart will be reasonable as well? The authors propose the final-offer arbitration challenge, which leverages an approach first applied in labor negotiations in the 1960s. You can employ this... View Details
Keywords: Carmen Nobel
  • 2018
  • Working Paper

Towards a New Approach for Upgrading Europe's Competitiveness

By: Christian Ketels and Michael E. Porter
The traumatic experience of the European sovereign debt crisis, followed by the outcome of the British referendum on leaving the European Union, has sent shockwaves through Europe. For the first time since the signing of the Treaties of Rome six decades ago, the very... View Details
Keywords: Competitiveness; Economy; Policy; Problems and Challenges; Europe; European Union
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Ketels, Christian, and Michael E. Porter. "Towards a New Approach for Upgrading Europe's Competitiveness." Harvard Business School Working Paper, No. 19-033, September 2018.
  • 07 Feb 2012
  • First Look

First Look: February 7

has been divided by both worldview and practice. Why, in the face of the common challenge of dependence on imported Russian gas, have national reactions to such vulnerability varied so dramatically across the continent? And why have a... View Details
Keywords: Sean Silverthorne
  • August 2020 (Revised September 2020)
  • Technical Note

Assessing Prediction Accuracy of Machine Learning Models

By: Michael W. Toffel, Natalie Epstein, Kris Ferreira and Yael Grushka-Cockayne
The note introduces a variety of methods to assess the accuracy of machine learning prediction models. The note begins by briefly introducing machine learning, overfitting, training versus test datasets, and cross validation. The following accuracy metrics and tools... View Details
Keywords: Machine Learning; Statistics; Econometric Analyses; Experimental Methods; Data Analysis; Data Analytics; Forecasting and Prediction; Analytics and Data Science; Analysis; Mathematical Methods
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Toffel, Michael W., Natalie Epstein, Kris Ferreira, and Yael Grushka-Cockayne. "Assessing Prediction Accuracy of Machine Learning Models." Harvard Business School Technical Note 621-045, August 2020. (Revised September 2020.)
  • Article

Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy

By: Edward Glaeser, Andrew Hillis, Scott Duke Kominers and Michael Luca
The proliferation of big data makes it possible to better target city services like hygiene inspections, but city governments rarely have the in-house talent needed for developing prediction algorithms. Cities could hire consultants, but a cheaper alternative is to... View Details
Keywords: User-generated Content; Operations; Tournaments; Policy-making; Machine Learning; Online Platforms; Analytics and Data Science; Mathematical Methods; City; Infrastructure; Business Processes; Government and Politics
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Glaeser, Edward, Andrew Hillis, Scott Duke Kominers, and Michael Luca. "Crowdsourcing City Government: Using Tournaments to Improve Inspection Accuracy." American Economic Review: Papers and Proceedings 106, no. 5 (May 2016): 114–118.
  • Article

How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments

By: Ilyana Kuziemko, Michael I. Norton, Emmanuel Saez and Stefanie Stantcheva
We analyze randomized online survey experiments providing interactive, customized information on U.S. income inequality, the link between top income tax rates and economic growth, and the estate tax. The treatment has large effects on views about inequality but only... View Details
Keywords: Income; Taxation; Economic Growth; United States
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Kuziemko, Ilyana, Michael I. Norton, Emmanuel Saez, and Stefanie Stantcheva. "How Elastic Are Preferences for Redistribution? Evidence from Randomized Survey Experiments." American Economic Review 105, no. 4 (April 2015): 1478–1508.
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