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      • Faculty Publications  (68)

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      • 2022
      • Report

      Competitiveness Roadmap for India@100

      By: Michael E. Porter and Christian H.M. Ketels
      The Competitiveness Roadmap for India lays out policy principles to guide India's efforts to move towards middle-income and beyond over the next 25 years. It covers a discussion of appropriate outcome ambitions, the underlying development approach, specific policy...  View Details
      Keywords: Economic Growth; Strategy; Competition; Policy; Government Administration; India
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      Porter, Michael E., and Christian H.M. Ketels. "Competitiveness Roadmap for India@100." Report, Institute for Competitiveness, India, September 2022.
      • 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...  View Details
      Keywords: Scan Statistics; Anomaly Detection; Regression; Model Diagnostics
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      Doss, Charles R., and Edward McFowland III. "Nonparametric Subset Scanning for Detection of Heteroscedasticity." Journal of Computational and Graphical Statistics 31, no. 3 (2022): 813–823.
      • 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...  View Details
      Keywords: Overreaction; Rational Expectations; Macroeconomics; Market Participation; Social Psychology
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      Bordalo, Pedro, Nicola Gennaioli, and Andrei Shleifer. "Overreaction and Diagnostic Expectations in Macroeconomics." NBER Working Paper Series, No. 30356, August 2022.
      • November 2021 (Revised December 2021)
      • Case

      Praava Health: A New Model for Bangladesh

      By: Michael Chu
      Launched in Dhaka, Bangladesh, in 2018, Praava Health (‘Praava’) delivered high-quality in-clinic primary and specialist care, backed by its own high quality diagnostic laboratories, imaging and pharmacy. Praava was founder Sylvana Sinha’s response to what she saw as a...  View Details
      Keywords: Entrepreneurship; Health Care and Treatment; Investment Return; Mobile and Wireless Technology; Business Model; Growth and Development Strategy; Health Industry; Bangladesh; Asia
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      Chu, Michael. "Praava Health: A New Model for Bangladesh." Harvard Business School Case 322-067, November 2021. (Revised December 2021.)
      • 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
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      Bordalo, Pedro, Nicola Gennaioli, Spencer Yongwook Kwon, and Andrei Shleifer. "Diagnostic Bubbles." Journal of Financial Economics 141, no. 3 (September 2021).
      • 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...  View Details
      Keywords: Linear Regression; Regression; Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory; Compensation and Benefits; Mathematical Methods; Analytics and Data Science
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      Parzen, Michael, and Paul Hamilton. "Introduction to Linear Regression." Harvard Business School Technical Note 621-086, June 2021.
      • May 2021
      • Article

      Risk-Mitigating Technologies: The Case of Radiation Diagnostic Devices

      By: Alberto Galasso and Hong Luo
      We study the impact of consumers’ risk perception on firm innovation. Our analysis exploits a major surge in the perceived risk of radiation diagnostic devices following extensive media coverage of a set of over-radiation accidents involving CT scanners in late 2009....  View Details
      Keywords: Risk Perception; Innovation; Medical Devices; Liability Risk; Risk and Uncertainty; Perception; Technological Innovation
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      Galasso, Alberto, and Hong Luo. "Risk-Mitigating Technologies: The Case of Radiation Diagnostic Devices." Management Science 67, no. 5 (May 2021): 3022–3040.
      • 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...  View Details
      Keywords: Health Care Demand; Amenities; Health Care Quality; Cataracts; Surgery; Health Care and Treatment; Demand and Consumers; Quality; Learning; Mexico
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      Adhvaryu, Achyuta, Emilio Gutierrez, Anant Nyshadham, and Jorge Tamayo. "Diagnosing Quality: Learning, Amenities, and the Demand for Health Care." Harvard Business School Working Paper, No. 21-110, March 2021.
      • March 16, 2021
      • Article

      From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles

      By: Julian De Freitas, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony and Emilio Frazzoli
      For the first time in history, automated vehicles (AVs) are being deployed in populated environments. This unprecedented transformation of our everyday lives demands a significant undertaking: endowing complex autonomous systems with ethically acceptable behavior. We...  View Details
      Keywords: Automated Driving; Public Health; Artificial Intelligence; Transportation; Health; Ethics; Policy; AI and Machine Learning
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      De Freitas, Julian, Andrea Censi, Bryant Walker Smith, Luigi Di Lillo, Sam E. Anthony, and Emilio Frazzoli. "From Driverless Dilemmas to More Practical Commonsense Tests for Automated Vehicles." Proceedings of the National Academy of Sciences 118, no. 11 (March 16, 2021).
      • 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....  View Details
      Keywords: Econometric Models; Business Cycles; Credit
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      Bordalo, Pedro, Nicola Gennaioli, Andrei Shleifer, and Stephen J. Terry. "Real Credit Cycles." NBER Working Paper Series, No. 28416, January 2021.
      • December 2020 (Revised April 2021)
      • Case

      IBM Watson at MD Anderson Cancer Center

      By: Shane Greenstein, Mel Martin and Sarkis Agaian
      After discovering that their cancer diagnostic tool, designed to leverage the cloud computing power of IBM Watson, needed greater integration into the clinical processes at the MD Anderson Cancer Center, the development team had difficult choices to make. The Oncology...  View Details
      Keywords: Decision Making; Innovation Strategy; Knowledge Management; Knowledge Use and Leverage; Operations; Failure; Information Technology; Applications and Software; Health Care and Treatment; Product Development; Health Industry; Information Technology Industry; Technology Industry; United States; Houston; Texas
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      Greenstein, Shane, Mel Martin, and Sarkis Agaian. "IBM Watson at MD Anderson Cancer Center." Harvard Business School Case 621-022, December 2020. (Revised April 2021.)
      • November 2020 (Revised May 2021)
      • Technical Note

      Tales of Life-changing Innovations: Safe and Cheap Diagnostics | Note on the Development of Ultrasound Scanning (through 2000)

      By: Amar Bhidé, Srikant M. Datar and Katherine Stebbins
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      Bhidé, Amar, Srikant M. Datar, and Katherine Stebbins. "Tales of Life-changing Innovations: Safe and Cheap Diagnostics | Note on the Development of Ultrasound Scanning (through 2000)." Harvard Business School Technical Note 321-054, November 2020. (Revised May 2021.)
      • 2020
      • Working Paper

      Look the Part? The Role of Profile Pictures in Online Labor Markets

      By: Isamar Troncoso and Lan Luo
      Profile pictures are a key component of many freelancing platforms, a design choice that can impact hiring and matching outcomes. In this paper, we examine how appearance-based perceptions of a freelancer's fit for the job (i.e., whether a freelancer "looks the part"...  View Details
      Keywords: Freelancers; Gig Workers; Recruitment; Perception; Performance; Prejudice and Bias; Decision Choices and Conditions
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      Troncoso, Isamar, and Lan Luo. "Look the Part? The Role of Profile Pictures in Online Labor Markets." Working Paper, November 2020.
      • October 2020
      • Technical Note

      Organizational Reinvention

      By: Ryan Raffaelli
      This note is designed to introduce students to the fundamental concepts of leading innovation in established organizations. Reinvention is a process whereby organizations respond to changes in the environment that threaten their core business model, technologies,...  View Details
      Keywords: Innovation And Strategy; Leadership And Change Management; Organizational Ambidexterity; Exploration And Exploitation; Innovation and Management; Innovation Leadership; Leading Change; Technology Adoption; Change Management; Organizational Change and Adaptation
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      Raffaelli, Ryan. "Organizational Reinvention." Harvard Business School Technical Note 421-041, October 2020.
      • August 2020 (Revised January 2022)
      • Case

      1928 Diagnostics: Fighting Antibiotics Resistance

      By: Ariel D. Stern and Daniela Beyersdorfer
      In 2019, the co-founders of the Swedish medical start-up 1928 Diagnostics, CEO Dr. Kristina Lagerstedt and COO Dr. Susanne Staaf, had to pick the right business model to commercialize their novel technology to hospitals and health care providers. Developed in...  View Details
      Keywords: Health Care and Treatment; Entrepreneurship; Leadership; Science-Based Business; Growth and Development Strategy; Business Growth and Maturation; Business Model; Information Technology; Digital Platforms; Health Disorders; Market Entry and Exit; Value Creation; Business and Stakeholder Relations; Health Industry; Medical Devices and Supplies Industry; Technology Industry; Europe; Sweden
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      Stern, Ariel D., and Daniela Beyersdorfer. "1928 Diagnostics: Fighting Antibiotics Resistance." Harvard Business School Case 621-025, August 2020. (Revised January 2022.)
      • Article

      Assessing the Training Costs and Work of Diagnostic Radiology Residents Using Key Performance Indicators—An Observational Study

      By: Robert S. Kaplan, Marta E. Heilbrun, Brad Poss, Luca Boi, Yoshimi Anzai and Nan Hu
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      Kaplan, Robert S., Marta E. Heilbrun, Brad Poss, Luca Boi, Yoshimi Anzai, and Nan Hu. "Assessing the Training Costs and Work of Diagnostic Radiology Residents Using Key Performance Indicators—An Observational Study." Academic Radiology 27, no. 7 (July 2020): 1025–1032.
      • Article

      Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs

      By: Michael G. Endres, Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland and Robert A. Gaudin
      Periapical radiolucencies, which can be detected on panoramic radiographs, are one of the most common radiographic findings in dentistry and have a differential diagnosis including infections, granuloma, cysts, and tumors. In this study, we seek to investigate the...  View Details
      Keywords: Artificial Intelligence; Diagnosis; Computer-assisted; Image Interpretation; Machine Learning; Radiography; Panoramic Radiograph; AI and Machine Learning
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      Endres, Michael G., Florian Hillen, Marios Salloumis, Ahmad R. Sedaghat, Stefan M. Niehues, Olivia Quatela, Henning Hanken, Ralf Smeets, Benedicta Beck-Broichsitter, Carsten Rendenbach, Karim R. Lakhani, Max Helland, and Robert A. Gaudin. "Development of a Deep Learning Algorithm for Periapical Disease Detection in Dental Radiographs." Diagnostics 10, no. 6 (June 2020).
      • 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...  View Details
      Keywords: Exploratory Learning Behaviors; Modeling; Artificial Intelligence; AI and Machine Learning
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      Kim, Kuno, Megumi Sano, Julian De Freitas, Daniel Yamins, and Nick Haber. "Towards Modeling the Variability of Human Attention." In Bridging AI and Cognitive Science (BAICS) Workshop. 8th International Conference on Learning Representations (ICLR), April 26, 2020.
      • 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...  View Details
      Keywords: Missing Data; Diagnostic Tools; Sensitivity Analysis; Hypothesis Testing; Missing At Random; Row Exchangeability; Analytics and Data Science; Mathematical Methods
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      Bojinov, Iavor I., Natesh S. Pillai, and Donald B. Rubin. "Diagnosing Missing Always at Random in Multivariate Data." Biometrika 107, no. 1 (March 2020): 246–253.
      • 2019
      • Case

      Krueger-Gilbert Health Physics: Can a Serial Acquisition Strategy Work for a Diagnostic Consulting Firm?

      By: Jason Pananos and A.J. Wasserstein
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      Pananos, Jason, and A.J. Wasserstein. "Krueger-Gilbert Health Physics: Can a Serial Acquisition Strategy Work for a Diagnostic Consulting Firm?" Yale School of Management Case 19-014, 2019.
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