Publications

SSRN

Research Summary

Overview

Associate Professor Yael Grushka-Cockayne's research and teaching activities focus on data science, forecasting, project management, and behavioral decision-making. View Details

Keywords: Data Science; Project Management; Forecasting; Behavior And Behavioral Decision Making

December 2013
Article

Legislating Stock Prices

By: Lauren Cohen, Karl Diether and Christopher Malloy

We demonstrate that legislation has a simple, yet previously undetected impact on stock prices. Exploiting the voting record of legislators whose constituents are the affected industries, we show that the votes of these "interested" legislators capture important... View Details

Keywords: Legislator Incentives; Voting; Return Predictability; Lobbying; Motivation and Incentives; Government Legislation; Stocks

04 Jun 2019
Working Paper Summaries

Political Influence and Merger Antitrust Reviews

Keywords: by Mihir N. Mehta, Suraj Srinivasan, and Wanli Zhao

15 Jun 2004
Conference Presentation

What is the Best Measure of Adiposity for Predicting Testosterone? Results from the Massachusetts Male Aging Study

By: William B. Simpson, Frances J. Hayes, Andre B. Araujo and John B. McKinlay

Keywords: Measurement and Metrics; Health Testing and Trials; Age Characteristics; Gender Characteristics; Massachusetts

September–October 2020
Article

Managing Churn to Maximize Profits

By: Aurelie Lemmens and Sunil Gupta

Customer defection threatens many industries, prompting companies to deploy targeted, proactive customer retention programs and offers. A conventional approach has been to target customers either based on their predicted churn probability or their responsiveness to a... View Details

Keywords: Churn Management; Defection Prediction; Loss Function; Stochastic Gradient Boosting; Customer Relationship Management; Consumer Behavior; Profit

SSRN

04 Dec 2019
Working Paper Summaries

Pathways to Materiality: How Sustainability Issues Become Financially Material to Corporations and Their Investors

Keywords: by Jean Rogers and George Serafeim

Article

Algorithms Need Managers, Too

By: Michael Luca, Jon Kleinberg and Sendhil Mullainathan

Algorithms are powerful predictive tools, but they can run amok when not applied properly. Consider what often happens with social media sites. Today many use algorithms to decide which ads and links to show users. But when these algorithms focus too narrowly on... View Details

Keywords: Machine Learning; Algorithms; Predictive Analytics; Management; Big Data; Analytics and Data Science

Register to Read

Article

Getting the Most Out of Giving: Concretely Framing a Prosocial Goal Maximizes Happiness

By: Melanie Rudd, Jennifer Aaker and Michael I. Norton

Across six field and laboratory experiments, participants assigned a more concretely-framed prosocial goal (e.g., making someone smile or increasing recycling) felt happier and reported creating greater personal happiness after performing a goal-directed act of... View Details

Keywords: Prosocial Behavior; Goal Framing; Affective Forecasting; Goals and Objectives; Happiness; Philanthropy and Charitable Giving

April 2013
Case

Managing with Analytics at Procter & Gamble

By: Thomas H. Davenport, Marco Iansiti and Alain Serels

Senior management at P&G has put a strong emphasis on using data to make "better, smarter, real-time business decisions." The Global Business Services (GBS) organization has developed tools, systems and processes to provide managers throughout P&G with direct access to... View Details

Keywords: Analytics; Data Management; Forecasting; Shared Services; Procter ＆ Gamble; Laundry Detergent; Information Management; Forecasting and Prediction; Information Technology; Mathematical Methods; Consumer Products Industry; North America

Educators

Purchase

April 2012
Article

Share Issuance and Factor Timing

By: Robin Greenwood and Samuel G. Hanson

We show that characteristics of stock issuers can be used to forecast important common factors in stocks' returns such as those associated with book-to-market, size, and industry. Specifically, we use differences between the attributes of stock issuers and repurchasers... View Details

Keywords: Investment Portfolio; Stock Shares; Forecasting and Prediction; Investment Return; Policy; Profit

Winter 2022
Article

Determinants of Small Business Reopening Decisions After COVID Restrictions Were Lifted

By: Dylan Balla-Elliott, Zoë B. Cullen, Edward L. Glaeser, Michael Luca and Christopher Stanton

The COVID-19 pandemic led to dramatic economic disruptions, including government-imposed restrictions that temporarily shuttered millions of American businesses. We use a nation-wide survey of thousands of small business owners to establish three main facts about... View Details

Keywords: COVID-19; Demand Forecasting; Reopening; Health Pandemics; Government Administration; Small Business

2007
Working Paper

Irving Fisher, Economic Forecasting, and the Myth of the Business Cycle

By: Walter A. Friedman

A premier economist of the twentieth century and a founder of neoclassical thought, Irving Fisher was also an active participant in the field of economic forecasting. Fisher made theoretical contributions to the understanding of economic fluctuations, popularized the... View Details

Keywords: Forecasting and Prediction; Economics; Business Cycles; Business History; Newspapers; Personal Development and Career

10 May 2019
Working Paper Summaries

Consumer Inertia and Market Power

Keywords: by Alexander MacKay and Marc Remer

2010
Other Unpublished Work

Share Issuance and Factor Timing

By: Robin Greenwood and Samuel Hanson

We show that characteristics of stock issuers can be used to forecast important common factors in stocks returns such as those associated with book-to-market, size, and industry. Specifically, we use differences between the attributes of stock issuers and repurchasers... View Details

Keywords: Forecasting and Prediction; Equity; Stocks; Stock Shares; Investment Return; Investment Portfolio; Price; Performance Evaluation