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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

Monetary Policy Transmission in Segmented Markets

Authors
Jens Eisenschmidt, Yiming Ma, and Anthony Lee Zhang
Date
November 29, 2021
Format
Working Paper

We show that dealer market power impedes the pass-through of monetary policy in repo markets, which is an important first stage of monetary policy transmission. In the European repo market, most participants do not have access to trade on centralized exchanges. Rather, they rely on OTC intermediation by a small number of dealers that exhibit significant market power. As a result, the passthrough of the ECB's policy rate to repo markets is inefficient and unequal.

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Artificial Intelligence, Firm Growth, and Product Innovation

Authors
Tania Babina, Anastassia Fedyk, Alex Xi He, and James Hodson
Date
November 11, 2021
Format
Newspaper/Magazine Article
Publication
SSRN

We study the use and economic impact of artificial intelligence (AI) technologies among U.S. firms. We propose a new measure of firm-level AI investments, using a unique combination of detailed worker resume and job postings datasets. Our measure reveals a stark increase in AI investments across sectors in the last decade. AI-investing firms see higher growth in sales, employment, and market valuations.

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Crisis Innovation: Evidence from the Great Depression

Authors
Tania Babina, Asaf Bernstein, and Filippo Mezzanotti
Date
November 10, 2021
Format
Working Paper

We examine innovation after the Great Depression using data on a century’s worth of U.S. patents and a difference-in-differences design that exploits regional variation in the severity of the economic crisis. Harder-hit areas experienced large and persistent declines in independent patenting, which lasted for the next 70 years. This decline was larger for young and inexperienced inventors and lower-quality patents. In contrast, large firms had relative innovation increases, especially for inventors with the largest declines in independent patenting.

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The Exploration-Exploitation Trade-off in the Newsvendor Problem

Authors
Omar Besbes, Juan Manuel Chaneton, and Ciamac Moallemi
Date
November 4, 2021
Format
Working Paper

When an inventory manager attempts to construct probabilistic models of demand based on past data, demand samples are almost never available: only sales data can be used. This limitation, referred to as demand censoring, introduces an exploration-exploitation trade-off as the ordering decisions impact the information collected. Much of the literature has sought to understand how operational decisions should be modified to incorporate this trade-off. We ask an even more basic question: when does the exploration-exploitation trade-off matter?

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Monopoly without a Monopolist: An Economic Analysis of the Bitcoin Payment System

Authors
Gur Huberman, Jacob D. Leshno, and Ciamac Moallemi
Date
November 1, 2021
Format
Journal Article
Journal
Review of Economic Studies

Bitcoin provides its users with transaction-processing services which are similar to those of traditional payment systems. This article models the novel economic structure implied by Bitcoin’s innovative decentralized design, which allows the payment system to be reliably operated by unrelated parties called miners. We find that this decentralized design protects users from monopoly pricing. Competition among service providers within the platform and free entry imply no entity can profitably affect the level of fees paid by users.

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Predicting the Oil Market

Authors
Charles Calomiris, Nida Cakir Melek, and Harry Mamaysky
Date
October 6, 2021
Format
Working Paper

We study the performance of many traditional and novel, text-based variables for in-sample and out-of-sample forecasting of oil spot, futures, and energy company stock returns, and changes in oil volatility, production, and inventories. After controlling for small-sample biases, we find evidence of in-sample predictability. Our text measures, derived using energy news articles, hold their own against traditional variables.

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Debt Relief and Slow Recovery: A Decade after Lehman

Authors
Tomasz Piskorski and Amit Seru
Date
September 1, 2021
Format
Journal Article
Journal
Journal of Financial Economics

We follow a representative panel of millions of consumers in the U.S. from 2007 to 2017 and document several facts on the long-term effects of the Great Recession. There were about six million foreclosures in the ten-year period after Lehman's collapse. Owners of multiple homes accounted for 25% of these foreclosures, while comprising only 13% of the market. Foreclosures displaced homeowners, with most of them moving at least once. Only a quarter of foreclosed households regained homeownership, taking an average four years to do so.

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Learning from Prospectuses

Authors
Simona Abis, Andrea Buffa, Apoorva Javadekar, and Anton Lines
Date
September 1, 2021
Format
Working Paper

We study qualitative information disclosure by mutual funds when investors learn from these disclosures in addition to past performance. We show theoretically that fund managers with specialized strategies optimally choose to disclose detailed strategy descriptions, while managers with standardized strategies provide generic descriptions. Generic descriptions lead to errors in benchmarking by investors and thus higher volatility in capital flows.

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Individual-level loss aversion in riskless and risky choices.

Authors
Simon Gächter, Eric Johnson, and Andreas Herrmann
Date
August 23, 2021
Format
Journal Article
Journal
Theory and Decision

Loss aversion can occur in riskless and risky choices. We present novel evidence on both in a non-student sample (660 randomly selected customers of a car manufacturer). We measure loss aversion in riskless choice in endowment effect experiments within and between subjects and find similar levels of average loss aversion in both. The subjects of the within study also participate in a simple lottery choice task which arguably measures loss aversion in risky choices. We find substantial heterogeneity in both measures of loss aversion.

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