Publications

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October–December 2022
Article

Achieving Reliable Causal Inference with Data-Mined Variables: A Random Forest Approach to the Measurement Error Problem

By: Mochen Yang, Edward McFowland III, Gordon Burtch and Gediminas Adomavicius

Combining machine learning with econometric analysis is becoming increasingly prevalent in both research and practice. A common empirical strategy involves the application of predictive modeling techniques to "mine" variables of interest from available data, followed... View Details

Keywords: Machine Learning; Econometric Analysis; Instrumental Variable; Random Forest; Causal Inference; AI and Machine Learning; Forecasting and Prediction

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April 2011
Teaching Note

Prediction Markets at Google (TN)

Teaching Note for 607088. View Details

Keywords: Interests; Forecasting and Prediction; Market Participation; Information Technology Industry

September 2008 (Revised September 2010)
Exercise

Exercise on Estimation

By: Jason Riis and John T. Gourville

This exercise is meant to assess students' level of confidence around everyday business and general knowledge questions, for the purpose of identifying where they are overconfident and underconfident. View Details

Keywords: Decision Making; Forecasting and Prediction; Personal Characteristics

winter 1996
Article

The Market Pricing of Cash Flow Forecasts: Discounted Cash Flow vs. the Method of Comparables

By: S. N. Kaplan and R. S. Ruback

Keywords: Price; Cash Flow; Forecasting and Prediction

August 2018
Case

Four Products: Predicting Diffusion (2018)

By: John Gourville

One job of product managers, marketers, strategic planners, and other corporate executives is to predict what the demand will be for a new product. This task is easier for certain classes of new products than for others. For new consumer package goods, for instance,... View Details

Keywords: Diffusion Processes; Product Adoption; Marketing; Forecasting and Prediction; Demand and Consumers; Adoption; Product Launch

Educators

15 Sep 2016
Research & Ideas

Political Dysfunction Makes America Less Competitive

system, transportation infrastructure, and healthcare. Business leaders have grown increasingly pessimistic and aren’t expecting much of an uptick in the near future. Fifty percent of those surveyed expect US competitiveness to decline in the next three years, while... View Details

Keywords: by Dina Gerdeman

May 2024
Article

Relational Attributions for One’s Own Resilience Predict Compassion for Others

By: Rachel Ruttan, Ting Zhang, Sivahn Barli and Katherine DeCelles

Existing work on attribution theory distinguishes between external and internal attributions (i.e., “I overcame adversity due to luck” vs. “my own effort”). We introduce the construct of relational resilience attributions (i.e., “due to help from other people”) as a... View Details

Keywords: Personal Characteristics; Forecasting and Prediction; Attitudes; Behavior

October 2024
Article

Canary Categories

By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester

Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details

Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry

January 2021
Article

Using Models to Persuade

By: Joshua Schwartzstein and Adi Sunderam

We present a framework where "model persuaders" influence receivers’ beliefs by proposing models that organize past data to make predictions. Receivers are assumed to find models more compelling when they better explain the data, fixing receivers’ prior beliefs. Model... View Details

Keywords: Model Persuasion; Analytics and Data Science; Forecasting and Prediction; Mathematical Methods; Framework

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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

Educators

February 2018
Supplement

People Analytics at Teach For America (B)

By: Jeffrey T. Polzer and Julia Kelley

This is a supplement to the People Analytics at Teach For America (A) case. In this supplement, Managing Director Michael Metzger must decide how to extend his team’s predictive analytics work using Natural Language Processing (NLP) techniques. View Details

Keywords: Analytics and Data Science; Forecasting and Prediction; Recruitment; Analysis