Publications

Educators

June 2008
Article

Minimally Acceptable Altruism and the Ultimatum Game

By: Julio J. Rotemberg

I suppose that people react with anger when others show themselves not to be minimally altruistic. With heterogeneous agents, this can account for the experimental results of ultimatum and dictator games. Moreover, it can account for the surprisingly large fraction of... View Details

Keywords: Philanthropy and Charitable Giving; Game Theory; Mathematical Methods

06 Apr 2020
Working Paper Summaries

A General Theory of Identification

Keywords: by Iavor Bojinov and Guillaume Basse

2006
Book

Service Productivity Management: Improving Service Performance Using Data Envelopment Analysis

By: H. David Sherman and Joe Zhu

Here is an in-depth guide to the most powerful available benchmarking technique for improving service organization performance—Data Envelopment Analysis (DEA). The book outlines DEA as a benchmarking technique, identifies high cost service units, isolates specific... View Details

Keywords: Data Envelopment Analysis; Economics; Operations; Mathematical Methods

1991
Chapter

An Economic Approach to the Study of Bargaining

By: A. E. Roth

Keywords: Negotiation; Economics; Mathematical Methods

July 1982 (Revised March 1984)
Background Note

Why Preference Curves are Useful for Risky Decisions

By: David E. Bell

Keywords: Mathematical Methods; Decision Making

18 Nov 2016
Conference Presentation

Rawlsian Fairness for Machine Learning

By: Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Leon Roth

Motivated by concerns that automated decision-making procedures can unintentionally lead to discriminatory behavior, we study a technical definition of fairness modeled after John Rawls' notion of "fair equality of opportunity". In the context of a simple model of... View Details

Keywords: Machine Learning; Algorithms; Fairness; Decision Making; Mathematical Methods

2008
Chapter

Assessing Creativity and Its Antecedents: An Exploration of the Componential Theory of Creativity

By: T. M. Amabile and Jennifer Mueller

Keywords: Creativity; Mathematical Methods; Theory

March 1999 (Revised December 2001)
Background Note

Analyzing Consumer Preferences

By: Robert J. Dolan

Presents a non-traditional description of the conjoint analysis methodology. Discusses the process by which a study is done and cites areas of application. View Details

Keywords: Marketing; Mathematical Methods; Product Marketing

Educators

Forthcoming
Article

Sticky Capital Controls

By: Miguel Acosta-Henao, Laura Alfaro and Andrés Fernández

There is much ongoing debate on the merits of capital controls as effective policy instruments. The differing perspectives are due in part to a lack of empirical studies that look at the intensive margin of controls, which in turn has prevented a quantitative... View Details

Keywords: Capital Controls; Macroprudential Policies; Stickiness; Intensive; (S, S) Costs; Capital; Management; Macroeconomics; Governance Controls; Mathematical Methods

July 2012
Article

Discrete Choice Cannot Generate Demand That Is Additively Separable in Own Price

By: Sonia Jaffe and Scott Duke Kominers

We show that in a unit demand discrete choice framework with at least three goods, demand cannot be additively separable in own price. This result sharpens the analogous result of Jaffe and Weyl (2010) in the case of linear demand and has implications for testing of... View Details

Keywords: Discrete Choice; Unit Demand; Separable Demand; Linear Demand; Demand and Consumers; Market Design; Mathematical Methods; Economics

2004
Chapter

The Harrod-Domar Model

By: Diego Comin

Keywords: Mathematical Methods; Economic Growth; Development Economics; Capital

1970
Chapter

The Time Series Behavior of Earnings: Discussion

By: Michael Jensen

Keywords: Business Earnings; Mathematical Methods

2025
Working Paper

Evaluations Amid Measurement Error: Determining the Optimal Timing for Workplace Interventions

By: Matthew DosSantos DiSorbo, Iavor I. Bojinov and Fiammetta Menchetti

Researchers have embraced factorial experiments to simultaneously evaluate multiple treatments, each with different levels. Typically, in large-scale factorial experiments, the primary objective is identifying the treatment with the largest causal effect, especially... View Details

Keywords: Factorial Designs; Fisher Randomizations; Rank Estimators; Employer Interventions; Causal Inference; Mathematical Methods; Performance Improvement

SSRN

September 2021
Article

Diagnostic Bubbles

By: Pedro Bordalo, Nicola Gennaioli, Spencer Yongwook Kwon and Andrei Shleifer

We introduce diagnostic expectations into a standard setting of price formation in which investors learn about the fundamental value of an asset and trade it. We study the interaction of diagnostic expectations with two well-known mechanisms: learning from prices and... View Details

Keywords: Bubble; Speculation; Diagnostic Expectations; Price Bubble; Mathematical Methods

14 Aug 2017
Conference Presentation

A Convex Framework for Fair Regression

By: Richard Berk, Hoda Heidari, Shahin Jabbari, Matthew Joseph, Michael J. Kearns, Jamie Morgenstern, Seth Neel and Aaron Roth

We introduce a flexible family of fairness regularizers for (linear and logistic) regression problems. These regularizers all enjoy convexity, permitting fast optimization, and they span the range from notions of group fairness to strong individual fairness. By varying... View Details

Keywords: Regression Models; Machine Learning; Fairness; Framework; Mathematical Methods

Article

A Prescriptive Analytics Framework for Optimal Policy Deployment Using Heterogeneous Treatment Effects

By: Edward McFowland III, Sandeep Gangarapu, Ravi Bapna and Tianshu Sun

We define a prescriptive analytics framework that addresses the needs of a constrained decision-maker facing, ex ante, unknown costs and benefits of multiple policy levers. The framework is general in nature and can be deployed in any utility maximizing context, public... View Details

Keywords: Prescriptive Analytics; Heterogeneous Treatment Effects; Optimization; Observed Rank Utility Condition (OUR); Between-treatment Heterogeneity; Machine Learning; Decision Making; Analysis; Mathematical Methods

1995
Chapter

Dynamic General Equilibrium Models with Imperfectly Competitive Product Markets

By: Julio J. Rotemberg and Michael Woodford

Keywords: Mathematical Methods; Competition; Markets

December 2019
Article

Costly Concessions: An Empirical Framework for Matching with Imperfectly Transferable Utility

By: Alfred Galichon, Scott Duke Kominers and Simon Weber

We introduce an empirical framework for models of matching with imperfectly transferable utility and unobserved heterogeneity in tastes. Our framework allows us to characterize matching equilibrium in a flexible way that includes as special cases the classic fully- and... View Details

Keywords: Sorting; Matching; Marriage Market; Intrahousehold Allocation; Imperfectly Transferable Utility; Marketplace Matching; Mathematical Methods

SSRN

Article

Games of Threats

By: Elon Kohlberg and Abraham Neyman

A game of threats on a finite set of players, N, is a function d that assigns a real number to any coalition, S ⊆ N, such that d(S) = -d(N\S). A game of threats is not necessarily a coalitional game as it may fail to satisfy the condition d(Ø) = 0. We show that analogs... View Details

Keywords: Shapley Value; Coalitional Game; Game Theory; Mathematical Methods