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

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08 May 2018
First Look

First Look at New Research and Ideas, May 8, 2018

1979). Counter to this notion, results from six experiments show that lay people adhere more to advice when they think it comes from an algorithm than from a person. People showed this sort of algorithm appreciation when making numeric estimates about a visual stimulus... View Details

Keywords: Sean Silverthorne

01 Apr 1998
News

Short Takes

Be Flexible In today's competitive and volatile business environment, depending on forecasting as the basis for planning and strategy has become a particularly risky way to operate. Especially vulnerable are manufacturing projects that... View Details

Keywords: Garry Emmons and Caroline Chauncey

09 Mar 2023
Blog Post

Port Esbjerg: Deploying Offshore Wind

wind farm operator at the port. Running 24/7, the center monitors ships going to and from the turbines and crews working on them, as well as weather forecasts and energy demand forecasts to determine when to... View Details

July 2005
Case

Freemark Abbey Winery (Abridged)

Freemark Abbey must decide whether to harvest in view of the possibility of rain. Rain could damage the crop but delaying the harvest would be risky. On the other hand, rain could be beneficial and greatly increase the value of the resulting wine. This decision is... View Details

Keywords: Plant-Based Agribusiness; Forecasting and Prediction; Agriculture and Agribusiness Industry; Food and Beverage Industry

February 1997
Case

Arch Communications Group, Inc.

By: Krishna G. Palepu and Sarayu Srinivasan

The market values Arch differently from analysts' values. View Details

Keywords: Valuation; Framework; Forecasting and Prediction; Investment; Stocks

April 1998
Case

X-IT Products, LLC

By: Marco Iansiti, Myra M. Hart and Barbara Feinberg

Two entrepreneurs, Andrew Ive and Aldo DiBerlardino, are poised to launch their first product. The decisions they make will have a crucial impact on the future of their company. View Details

Keywords: Forecasting and Prediction; Entrepreneurship; Product Launch; Outcome or Result

December 1995 (Revised March 1996)
Case

Nestle and the Twenty-First Century

By: Ray A. Goldberg and Elizabeth Ashcroft

A leading food company rethinks its future in the global food system by major geographical areas. View Details

Keywords: Change Management; Forecasting and Prediction; Geographic Location; Globalization; Strategy; System; Food and Beverage Industry

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2017
Working Paper

Learning by Doing: The Value of Experience and the Origins of Skill for Mutual Fund Managers

By: Elisabeth Kempf, Alberto Manconi and Oliver Spalt

Learning by doing matters for professional investors. We develop a new methodology to show that mutual fund managers outperform in industries where they have obtained experience on the job. The key to our identification strategy is that we look "inside" funds and... View Details

Keywords: Fund Managers; Experience and Expertise; Performance; Forecasting and Prediction

SSRN

18 Sep 2019
Working Paper Summaries

Using Models to Persuade

Keywords: by Joshua Schwartzstein and Adi Sunderam

08 Jun 2009
Research & Ideas

The Return of the Salesman

in an economy like this, such as car dealerships, for instance, which have closed across the country. And, of course, customers are likely to negotiate for better terms. Q: What are you working on now? A: I'm writing a history of the beginnings of the economic View Details

Keywords: by Sean Silverthorne; Retail

24 Jan 2012
First Look

First Look: Jan. 24

Abstract We examine the effect of mandatory International Financial Reporting Standards (IFRS) adoption on firms' information environment. We find that after mandatory IFRS adoption, consensus forecast errors decrease for firms that... View Details

Keywords: Sean Silverthorne

December 1970 (Revised September 2006)
Case

Harmon Foods, Inc.

Prediction and shipment has been a scheduling and budgetary problem. Multiple regression is suggested as a solution. Evaluation of regression coefficients leads to better understanding of trend, seasonality, and promotion effectiveness. View Details

Keywords: Demand and Consumers; Production; Forecasting and Prediction; Budgets and Budgeting; Manufacturing Industry; Food and Beverage Industry