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  • Article

Do the Right Firms Survive Bankruptcy?
By: Samuel Antill
In U.S. Chapter 11 bankruptcy cases, firms are either reorganized, acquired, or liquidated. I show that decisions to liquidate often reduce creditor recovery, costing creditors billions of dollars every year. I exploit the within-district random assignment of...  View Details
Keywords: Bankruptcy; Bankruptcy Reorganization; Recovery Rate; Structural Estimation; Roy Model; 363 Sales; Insolvency and Bankruptcy; Governing Rules, Regulations, and Reforms
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  • March 2022
  • Module Note

Exploratory Data Analysis
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This module note provides an overview of exploratory data analysis for an introduction to data science course. It begins by defining the term "data", and then describes the different types of data that companies work with (structured v. unstructured, categorical v....  View Details
Keywords: Data Analysis; Data Science; Statistics; Data Visualization; Analytics and Data Science; Analysis
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  • March 2022
  • Module Note

Prediction & Machine Learning
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This note provides an introduction to machine learning for an introductory data science course. The note begins with a description of supervised, unsupervised, and reinforcement learning. Then, the note provides a brief explanation of the difference between traditional...  View Details
Keywords: Machine Learning; Data Science; Learning; Analytics and Data Science; Performance Evaluation
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  • March 2022
  • Module Note

Statistical Inference
By: Iavor I. Bojinov, Michael Parzen and Paul J. Hamilton
This note provides an overview of statistical inference for an introductory data science course. First, the note discusses samples and populations. Next the note describes how to calculate confidence intervals for means and proportions. Then it walks through the logic...  View Details
Keywords: Data Science; Statistics; Mathematical Methods; Data and Data Sets
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  • March 2022
  • Article

Assessing the Impact of the COVID-19 Pandemic on Clinician Ambulatory Electronic Health Record Use
By: A Jay Holmgren, Lance Downing, Mitchell Tang, Christopher Sharp, Christopher Longhurst and Robert S. Huckman
Objective: The COVID-19 pandemic changed clinician electronic health record (EHR) work in a multitude of ways. To evaluate how, we measure ambulatory clinician EHR use in the United States throughout the COVID-19 pandemic.

Materials and Methods: We use EHR...  View Details
Keywords: Health Care; Electronic Health Records; Productivity; COVID-19 Pandemic; Health Care and Treatment; Health Pandemics; Information Technology; Performance Productivity; United States
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  • 2022
  • Chapter

State-Formation, Statist Islam, and Regime Instability: Evidence from Turkey
By: Kristin Fabbe
Religion, and particularly the forces of political Islam and state secularism, have been central to discussions of regime stability in the Turkish case. Intense polarization, political instability, and military interventions have propelled Turkey into crisis about once...  View Details
Keywords: Ottoman Empire; Regime; State Secularism; Political Islam; Democracy; Autocracy; Religion; Government and Politics; Turkey
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  • 2021
  • Working Paper

The Luck of the Draw: The Causal Effect of Physicians on Birth Outcomes
By: Arlen Guarin, Christian Posso, Estefania Saravia and Jorge Tamayo
Identifying the effect of physicians’ skills on health outcomes is a challenging task due to the nonrandom sorting between physicians and hospitals. We overcome this challenge by exploiting a Colombian government program that randomly assigned 2,126 physicians to 618...  View Details
Keywords: Physicians' Health Skills; Health Birth Outcomes; Birthing Outcomes; Experimental Evidence; Health Care and Treatment; Competency and Skills; Outcome or Result; Health Industry; Colombia
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  • 2021
  • Working Paper

How Important is Editorial Gatekeeping? Evidence from Top Biomedical Journals
By: Joshua L. Krieger, Kyle R. Myers and Ariel D. Stern
We examine editors' influence on the scientific content of academic journals by unpacking the role of three major forces: journals' missions, aggregate supply of and demand for specific topics, and scientific homophily via editorial gatekeeping. In a sample of top...  View Details
Keywords: Jobs and Positions; Operations; Information Publishing; Analysis
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  • August 2021
  • Article

Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British...  View Details
Keywords: Crowdsourcing; Mixed Methods Research; Oral History; History; Research
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  • August 2021
  • Article

Crowdsourcing Memories: Mixed Methods Research by Cultural Insiders-Epistemological Outsiders
By: Tarun Khanna, Karim R. Lakhani, Shubhangi Bhadada, Nabil Khan, Saba Kohli Davé, Rasim Alam and Meena Hewett
This paper examines the role that the two lead authors’ personal connections played in the research methodology and data collection for the Partition Stories Project—a mixed-methods approach to revisiting the much-studied historical trauma of the Partition of British...  View Details
Keywords: Mixed Methods; Insider-outsiders; Myth Of Informed Objectivity; Hybrid Research; Oral Narratives; Research; Analysis; India
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  • August 2021
  • Article

Multiple Imputation Using Gaussian Copulas
By: F.M. Hollenbach, I. Bojinov, S. Minhas, N.W. Metternich, M.D. Ward and A. Volfovsky
Missing observations are pervasive throughout empirical research, especially in the social sciences. Despite multiple approaches to dealing adequately with missing data, many scholars still fail to address this vital issue. In this paper, we present a simple-to-use...  View Details
Keywords: Missing Data; Bayesian Statistics; Imputation; Categorical Data; Estimation
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  • June 2021
  • Technical Note

Introduction to Linear Regression
By: Michael Parzen and Paul J. 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: Analysis; Forecasting and Prediction; Risk and Uncertainty; Theory
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  • 2020
  • Working Paper

Is Accounting Useful for Forecasting GDP Growth? A Machine Learning Perspective
By: Srikant Datar, Apurv Jain, Charles C.Y. Wang and Siyu Zhang
We provide a comprehensive examination of whether, to what extent, and which accounting variables are useful for improving the predictive accuracy of GDP growth forecasts. We leverage statistical models that accommodate a broad set of (341) variables—outnumbering the...  View Details
Keywords: Big Data; Elastic Net; GDP Growth; Machine Learning; Macro Forecasting; Short Fat Data; Accounting; Economic Growth; Forecasting and Prediction
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  • Mar 2021
  • Conference Presentation

Descent-to-Delete: Gradient-Based Methods for Machine Unlearning
By: Seth Neel, Aaron Leon Roth and Saeed Sharifi-Malvajerdi
We study the data deletion problem for convex models. By leveraging techniques from convex optimization and reservoir sampling, we give the first data deletion algorithms that are able to handle an arbitrarily long sequence of adversarial updates while promising both...  View Details
Keywords: Machine Learning; Unlearning Algorithm; Mathematical Methods
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  • 2021
  • Working Paper

First Law of Motion: Influencer Video Advertising on TikTok
By: Jeremy Yang, Juanjuan Zhang and Yuhan Zhang
This paper engineers an intuitive feature that is predictive of the causal effect of influencer video advertising on product sales. We propose the concept of m-score, a summary statistic that captures the extent to which a product is advertised in the most engaging...  View Details
Keywords: Influencer Advertising; Video Advertising; Computer Vision; Machine Learning; Advertising; Online Technology
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  • February 2021
  • Tutorial

Assessing Prediction Accuracy of Machine Learning Models
By: Michael Toffel and Natalie Epstein
This video describes how to assess the accuracy of machine learning prediction models, primarily in the context of machine learning models that predict binary outcomes, such as logistic regression, random forest, or nearest neighbor models. After introducing and...  View Details
Keywords: Machine Learning; Statistics; Experiments; Forecasting and Prediction; Performance Evaluation
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  • February 2021
  • Tutorial

T-tests: Theory and Practice
By: Michael Parzen, Natalie Epstein, Chiara Farronato and Michael Toffel
This video provides an introduction to hypothesis testing, sampling, t-tests, and p-values. It provides examples of A/B testing and t-testing to assess whether difference between two groups are statistically significant. This video can be assigned in conjunction with...  View Details
Keywords: Data Analysis; Data Analytics; Experiment Design; Experimentation; Analytics and Data Science; Analysis
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  • February 2021
  • Tutorial

What is AI?
By: Tsedal Neeley
This video explores the elements that constitute artificial intelligence (AI). From its mathematical basis to current advances in AI, this video introduces students to data, tools, and statistical models that make a computer 'intelligent.' Through an explanation of...  View Details
Keywords: Artificial Intelligence; Digital; Technological Innovation; Leadership; AI and Machine Learning
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  • February 2021
  • Article

Assessment of Electronic Health Record Use Between U.S. and Non-U.S. Health Systems
By: A Jay Holmgren, Lance Downing, David W. Bates, Tait D. Shanafelt, Arnold Milstein, Christopher Sharp, David Cutler, Robert S. Huckman and Kevin A. Schulman
Importance: Understanding how the electronic health record (EHR) system changes clinician work, productivity, and well-being is critical. Little is known regarding global variation in patterns of use.
Objective: To provide insights into which EHR...  View Details
Keywords: Electronic Health Records; Health Care and Treatment; Online Technology; Health Industry; Information Technology Industry
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  • January 2021
  • Case

The FIRE Savings Calculator
By: Michael Parzen and Paul J. Hamilton
This case follows Carol Muñoz, a member of the Financial Independence, Retire Early (FIRE) lifestyle movement. At the age of 45, Carol is considering retiring and living off the $1 million she has accumulated. Using Monte Carlo simulation, Carol forecasts the...  View Details
Keywords: Analysis; Forecasting and Prediction; Financial Strategy; Investment Portfolio; Investment Return; Personal Finance; Saving; Risk and Uncertainty; Diversification; Theory; Financial Services Industry
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