Publications
Publications
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- Faculty Publications (16)
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- October 2023 (Revised June 2024)
- Case
Revvity: A Symbol of Change
By: Satish Tadikonda and William Marks
After selling the PerkinElmer name and several ancillary business units, Prahlad Singh (CEO) and his team at the newly christened Revvity faced a challenge on how best to capitalize on the opportunities ahead for the business and emerge as winners within the Life...
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- 2022
- Article
Nonparametric Subset Scanning for Detection of Heteroscedasticity
By: Charles R. Doss and Edward McFowland III
We propose Heteroscedastic Subset Scan (HSS), a novel method for identifying covariates that are responsible for violations of the homoscedasticity assumption in regression settings. Viewing the problem as one of anomalous pattern detection, we use subset scanning...
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- 2022
- Working Paper
Overreaction and Diagnostic Expectations in Macroeconomics
By: Pedro Bordalo, Nicola Gennaioli and Andrei Shleifer
We present the case for the centrality of overreaction in expectations for addressing important challenges in finance and macroeconomics. First, non-rational expectations by market participants can be measured and modeled in ways that address some of the key challenges...
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- 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...
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- June 2021
- Technical Note
Introduction to Linear Regression
By: Michael Parzen and Paul Hamilton
This technical note introduces (from an applied point of view) the theory and application of simple and multiple linear regression. The motivation for the model is introduced, as well as how to interpret the summary output with regard to prediction and statistical...
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- 2021
- Working Paper
Diagnosing Quality: Learning, Amenities, and the Demand for Health Care
By: Achyuta Adhvaryu, Emilio Gutierrez, Anant Nyshadham and Jorge Tamayo
We study the role of amenities in increasing demand for underutilized healthcare services. We evaluate the offer of a high-amenity diagnostic consultation for cataracts with a randomized price and find that a lower price for the high-amenity consultation increases...
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- 2021
- Working Paper
Real Credit Cycles
By: Pedro Bordalo, Nicola Gennaioli, Andrei Shleifer and Stephen J. Terry
We incorporate diagnostic expectations, a psychologically founded model of overreaction to news, into a workhorse business cycle model with heterogeneous firms and risky debt. A realistic degree of diagnosticity, estimated from the forecast errors of managers of U.S....
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- 26 Apr 2020
- Other Presentation
Towards Modeling the Variability of Human Attention
By: Kuno Kim, Megumi Sano, Julian De Freitas, Daniel Yamins and Nick Haber
Children exhibit extraordinary exploratory behaviors hypothesized to contribute to the building of models of their world. Harnessing this capacity in artificial systems promises not only more flexible technology but also cognitive models of the developmental processes...
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- March 2020
- Article
Diagnosing Missing Always at Random in Multivariate Data
By: Iavor I. Bojinov, Natesh S. Pillai and Donald B. Rubin
Models for analyzing multivariate data sets with missing values require strong, often assessable, assumptions. The most common of these is that the mechanism that created the missing data is ignorable—a twofold assumption dependent on the mode of inference. The first...
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- 2019
- Article
Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity
By: Maryam Ghasemaghaei and Goran Calic
Anecdotal evidence suggests that, despite the large variety of data, the huge volume of generated data, and the fast velocity of obtaining data (i.e., big data), quality of big data is far from perfect. Therefore, many firms defer collecting and integrating big data as...
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- 2018
- Working Paper
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...
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- February 2016 (Revised September 2017)
- Case
Neurotrack and the Alzheimer's Puzzle
By: Richard G. Hamermesh, Liz Kind and Carin-Isabel Knoop
Elli Kaplan founded Neurotrack in 2012 with a breakthrough noninvasive cognitive diagnostics test that will detect Alzheimer's disease in its earliest pre-symptomatic stages. While the company has gained great traction in the three years since it was started, with no...
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- 2013
- Working Paper
Helping You Help Me: The Role of Diagnostic (In)congruence in the Helping Process within Organizations
By: Colin M. Fisher, Julianna Pillemer and Teresa M. Amabile
Through an inductive, multi-method field study at a major design firm, we investigated the helping process in project work and how that process affects the success of a helping episode, as perceived by help-givers and/or -receivers. We used daily diary entries and...
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- July–August 2011
- Article
Putting Business Models Under the Microscope
By: K. Merchant, Tatiana Sandino and D. Huelsbeck
The article provides advice for financial managers on evaluating business models for corporate performance measurement. Emphasis is given to a study sponsored by the Chartered Institute of Management Accountants (CIMA) that examined the business model of a medical...
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- January 2002 (Revised October 2005)
- Case
General Electric Medical Systems 2002
By: Tarun Khanna and James Weber
Discusses one of General Electric's flagship divisions--the world's leading provider of medical diagnostic imaging equipment. Provides an opportunity to examine a multinational confronting massive technological and demographic changes around the world. Genomics has...
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