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Decision Making & Negotiations

See the latest research, articles and faculty on the Decision Making & Negotiations Area of Expertise at Columbia Business School.

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Decision Making & Negotiations

Decision Making & Negotiations Research

How Word-of-Mouth Transmission Encouragement Affects Consumers' Transmission Decisions, Receiver Selection, and Diffusion Speed

Authors
Andrew T. Stephen and Donald Lehmann
Date
December 1, 2016
Format
Journal Article
Journal
International Journal of Research in Marketing

This research considers how marketers can encourage or 'nudge' consumers to transmit word of mouth (WOM), such as referrals or recommendations to friends, in a manner that helps reach, inform, or influence large numbers of consumers quickly, which is an outcome referred to as faster diffusion. Building on studies showing diffusion is faster when higher-connectivity people are involved; the authors propose a mechanism based on network externalities that encourages regular customers to select receivers who have higher levels of social connectivity.

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Do institutional incentives distort asset prices?

Authors
Anton Lines
Date
November 25, 2016
Format
Working Paper

The incentive contracts of delegated investment managers may have unintended negative consequences for asset prices. I show that managers who are compensated for relative performance optimally shift their portfolio weights towards those of the benchmark when volatility rises, putting downward price pressure on overweight stocks and upward pressure on underweight stocks. In quarters when volatility rises most (top quintile), a portfolio of aggregate-underweight minus aggregate-overweight stocks returns 3% to 8% per quarter depending on the risk adjustment.

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Optimal Dynamic Contracts with Moral Hazard and Costly Monitoring

Authors
Tomasz Piskorski and Mark Westerfield
Date
November 1, 2016
Format
Journal Article
Journal
Journal of Economic Theory

We introduce a tractable dynamic monitoring technology into a continuous-time moral hazard problem and study the optimal long-term contract between principal and agent. Monitoring adds value by allowing the principal to reduce the intensity of performance-based incentives, reducing the likelihood of costly termination. We present a novel characterization of optimal dynamic incentive provision when performance-based incentives may decline continuously to zero. Termination happens in equilibrium only if its costs are relatively low.

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An Equilibrium Model of Housing and Mortgage Markets with State-Contingent Lending Contracts

Authors
Tomasz Piskorski and Alexei Tchistyi
Date
November 1, 2016
Format
Working Paper

We develop a tractable general equilibrium framework of housing and mortgage markets with aggregate and idiosyncratic risks, costly liquidity and strategic defaults, empirically relevant informational asymmetries, and endogenous mortgage design. We show that adverse selection plays an important role in shaping the form of an equilibrium contract. If borrowers' homeownership values are known, aggregate wages and house prices determine the optimal state-contingent mortgage payments, which efficiently reduces the costs of liquidity default.

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Functional Alibi

Authors
Anat Keinan, Ran Kivetz, and Oded Netzer
Date
October 1, 2016
Format
Journal Article
Journal
Journal of Academy of Consumer Research
Spending money on hedonic luxuries often seems wasteful, irrational, and even immoral. We propose that adding a small utilitarian feature to a luxury product can serve as a <em>functional alibi</em>, justifying the indulgent purchase and reducing indulgence guilt. We demonstrate that consumers tend to inflate the value, and usage frequency, of utilitarian features when they are attached to hedonic luxuries.
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Monopoly pricing in the presence of social learning

Authors
Davide Crapis, Marco Scarsini, Costis Maglaras, and Bar Ifrach
Date
September 6, 2016
Format
Journal Article
Journal
Management Science

A monopolist offers a product to a market of consumers with heterogeneous quality preferences. Although initially uninformed about the product quality, they learn by observing past purchase decisions and reviews of other consumers. Our goal is to analyze the social learning mechanism and its effect on the seller's pricing decision. This analysis borrows from the literature on social learning and on pricing and revenue management.

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Short-term trading skill: An analysis of investor heterogeneity and execution quality

Authors
Ciamac Moallemi, Mehmet Saglam, and Michael Sotiropoulos
Date
September 1, 2016
Format
Working Paper

We examine short-horizon return predictability using a novel proprietary dataset of institutional traders with known identities. We estimate investor-specific short-term trading skill and find that there is pronounced heterogeneity in predicting short-term returns among institutional investors. Incorporating short-term predictive ability, our model explains much higher fraction of variation in asset returns. Ignoring the heterogeneity in short-term trading skill has major implications in modeling price impact.

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Saving the Masses: The Impact of Perceived Efficacy on Charitable Giving to Single vs. Multiple Beneficiaries

Authors
Eesha Sharma and Vicki Morwitz
Date
July 1, 2016
Format
Journal Article
Journal
Organizational Behavior and Human Decision Processes

People are more generous toward single than toward multiple beneficiaries, and encouraging greater giving to multiple targets is challenging. We identify one factor, perceived efficacy, which enhances generosity toward multiple beneficiaries. We investigate relationships between perceived self-efficacy (believing one can take steps to make an impact), response efficacy (believing those steps will be effective), and charitable giving.

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Estimating the Risk-Return Trade-off with Overlapping Data Inference

Authors
Esben Hedegaard and Robert Hodrick
Date
June 1, 2016
Format
Journal Article
Journal
Journal of Banking and Finance

Investigations of the basic risk-return trade-off for the market return typically use maximum likelihood estimation (MLE) with a monthly or quarterly horizon and data sampled to match the horizon even though daily data are available. We develop an overlapping data inference methodology for such models that uses all of the data while maintaining the monthly or quarterly forecasting period. Our approach recognizes that the first order conditions of MLE can be used as orthogonality conditions of the generalized method of moments (GMM).

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