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- April 1984 (Revised November 1988)
- Background Note
Statistical Quality Control for Process Improvement
Describes systematic methods for process debugging and improvement, based on statistical quality control. Examples are from manufacturing settings, but techniques are also useful for services and sales, and to quantity improvement as well as quality improvement. View Details
Bohn, Roger E. "Statistical Quality Control for Process Improvement." Harvard Business School Background Note 684-068, April 1984. (Revised November 1988.)
- 2022
- Working Paper
Stories, Statistics and Memory
By: Thomas Graeber, Christopher Roth and Florian Zimmermann
For most decisions, we rely on information encountered over the course of days,
months or years. We consume this information in various forms, including abstract
summaries of multiple data points – statistics – and contextualized anecdotes about
individual instances... View Details
Graeber, Thomas, Christopher Roth, and Florian Zimmermann. "Stories, Statistics and Memory." Working Paper, December 2022.
- Fast Answer
Hospitals: statistics (US)
style="line-height: 20.8px;"> by AHA) Incidence & Prevalence Database - world's epidemiology data including some surgical patient volumes Centers... View Details
- 2015
- Chapter
Optimal Process Control of Symbolic Transfer Functions
By: Christopher Griffin and Elisabeth Paulson
Transfer function modeling is a standard technique in classical Linear Time Invariant and Statistical Process Control. The work of Box and Jenkins was seminal in developing methods for identifying parameters associated with classical (r, s, k) transfer functions.... View Details
Keywords: Transfer Functions; Markov Processes; Stochastic Models; Process Control; Research; Information Technology
Griffin, Christopher, and Elisabeth Paulson. "Optimal Process Control of Symbolic Transfer Functions." In Proceedings of the 10th International Workshop on Feedback Computing. IEEE, 2015.
- March 2011 (Revised April 2021)
- Case
The Whiz Kids
By: Tom Nicholas and David Chen
In October 1945, Henry Ford II received a telegram in his office at the Ford Motor Company in Dearborn, Michigan written by Charles "Tex" Thornton, a U.S. Air Force colonel. The telegram presented an opportunity for Ford to deploy a system of statistical control which... View Details
Keywords: Ford Motor Company; Statistical Control; Management Systems; Accounting; Operations; Strategy; Mathematical Methods; Auto Industry; United States
Nicholas, Tom, and David Chen. "The Whiz Kids." Harvard Business School Case 811-042, March 2011. (Revised April 2021.)
- Web
Charts & Statistics - Leadership
Great American Business Leaders of the 20th Century Charts & Statistics Birthplace Education Gender & Ethnicity Tenure Birthplace of Leaders Foreigners Gain CEO Access After Mid-Century Pre-1950 Founder 73% Family Business 2% Other CEO... View Details
- February 1986 (Revised June 2007)
- Background Note
Constructing and Using Process Control Charts
Summarizes how to construct and use statistical process control charts. Gives several examples. Discusses tolerances using control charts for debugging. View Details
Bohn, Roger E. "Constructing and Using Process Control Charts." Harvard Business School Background Note 686-118, February 1986. (Revised June 2007.)
- September 2017
- Article
The Real Effects of Capital Controls: Firm-Level Evidence from a Policy Experiment
By: Laura Alfaro, Anusha Chari and Fabio Kanczuk
Emerging-market governments adopted capital control taxes to manage the massive surge in foreign capital inflows in the aftermath of the global financial crisis. Theory suggests that the imposition of capital controls can drive up the cost of capital and curb... View Details
Keywords: Capital Controls; Discriminatory Taxation; International Investment Barriers; Exports; Debt; Cost of Capital; Taxation; Investment; Borrowing and Debt; Equity; Brazil
Alfaro, Laura, Anusha Chari, and Fabio Kanczuk. "The Real Effects of Capital Controls: Firm-Level Evidence from a Policy Experiment." Journal of International Economics 108 (September 2017): 191–210. (Also see NBER Working Paper 20726.
See comment in Brookings Series: The Hutchins Roundup.
See also, feature in NBER Digest March 2015 issue. )
- September 2022
- Article
Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews
By: Dennis W. Campbell and Ruidi Shang
This paper examines whether information extracted via text-based statistical methods applied to employee reviews left on the website Glassdoor.com can be used to develop indicators of corporate misconduct risk. We argue that inside information on the incidence of... View Details
Keywords: Management Accounting; Management Control; Corporate Culture; Corporate Misconduct; Risk Measurement; Organizational Culture; Crime and Corruption; Risk and Uncertainty; Measurement and Metrics
Campbell, Dennis W., and Ruidi Shang. "Tone at the Bottom: Measuring Corporate Misconduct Risk from the Text of Employee Reviews." Management Science 68, no. 9 (September 2022): 7034–7053.
- January 1996 (Revised April 1997)
- Case
Deutsche Allgemeinversicherung
Describes the application of statistical process control in a service industry. In this case, Annette Kluck must decide how to adopt manufacturing-based principles to a service process ranging from customer account setup to legal services. View Details
Upton, David M. "Deutsche Allgemeinversicherung." Harvard Business School Case 696-084, January 1996. (Revised April 1997.)
- Research Summary
The Real Effects of Capital Controls: Financial Constraints, Exporters, and Firm Investment
By: Laura Alfaro
In aftermath of the global financial crisis of 2008–2009, emerging-market governments have increasingly restricted foreign capital inflows. The data show a statistically significant drop in cumulative abnormal returns for Brazilian firms following capital control... View Details
V.G. Narayanan
Professor Narayanan is the Thomas D. Casserly, Jr. Professor of Business Administration, and Senior Associate Dean of Executive Education and HBS Online. His research focuses on management accounting with an interest in performance evaluation and incentives. He uses... View Details
- 2024
- Working Paper
What Is Newsworthy? Theory and Evidence
By: Luis Armona, Matthew Gentzkow, Emir Kamenica and Jesse M. Shapiro
We study newsworthiness in theory and practice. We focus on situations in which a news outlet observes the realization of a state of the world and must decide whether to report the realization to a consumer who pays an opportunity cost to consume the report. The... View Details
Armona, Luis, Matthew Gentzkow, Emir Kamenica, and Jesse M. Shapiro. "What Is Newsworthy? Theory and Evidence." NBER Working Paper Series, No. 32512, May 2024.
- Article
Risk and the Cross-Section of Stock Returns
By: Mark Seasholes, Radu Burlacu, Patrice Fontaine and Sonia Jimenez-Garces
This paper mathematically transforms unobservable rational expectation equilibrium model parameters (information precision and supply uncertainty) into a single variable that is correlated with expected returns and that can be estimated with recently observed data. Our... View Details
Keywords: Risk Premiums; Cross-sectional Asset Pricing; REE Models; Risk and Uncertainty; Asset Pricing; Investment Return
Seasholes, Mark, Radu Burlacu, Patrice Fontaine, and Sonia Jimenez-Garces. "Risk and the Cross-Section of Stock Returns." Journal of Financial Economics 105, no. 3 (September 2012): 511–522.
Jung Koo Kang
Jung Koo Kang is an assistant professor in the Accounting and Management Unit. He teaches the Financial Reporting and Control course in the MBA required curriculum.
Professor Kang’s research areas are in financial technology and innovation, alternative data,... View Details
- 2024
- Working Paper
Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference
By: Michael Lindon, Dae Woong Ham, Martin Tingley and Iavor I. Bojinov
Linear regression adjustment is commonly used to analyze randomized controlled experiments due to its efficiency and robustness against model misspecification. Current testing and interval estimation procedures leverage the asymptotic distribution of such estimators to... View Details
Lindon, Michael, Dae Woong Ham, Martin Tingley, and Iavor I. Bojinov. "Anytime-Valid Inference in Linear Models and Regression-Adjusted Causal Inference." Harvard Business School Working Paper, No. 24-060, March 2024.
- June 28, 2011
- Article
Using Implementation Intentions Prompts to Enhance Influenza Vaccination Rates
By: Katherine L Milkman, John Beshears, James J. Choi, David Laibson and Brigitte C. Madrian
We evaluate the results of a field experiment designed to measure the effect of prompts to form implementation intentions on realized behavioral outcomes. The outcome of interest is influenza vaccination receipt at free on-site clinics offered by a large firm to its... View Details
Keywords: Behavioral Economics; Nudge; Libertarian Paternalism; Public Health; Flu Shot; Behavior; Consumer Behavior; Health Care and Treatment; Cognition and Thinking
Milkman, Katherine L., John Beshears, James J. Choi, David Laibson, and Brigitte C. Madrian. "Using Implementation Intentions Prompts to Enhance Influenza Vaccination Rates." Proceedings of the National Academy of Sciences 108, no. 26 (June 28, 2011): 10415–10420.
- September 2017 (Revised July 2023)
- Case
Adaptive Platform Trials: The Clinical Trial of the Future?
By: Ariel D. Stern and Sarah Mehta
In July 2017, Dr. Brian M. Alexander, president and CEO of the AGILE Research Foundation, was preparing to launch a new type of clinical trial—an adaptive platform trial—to study potential therapies for glioblastoma (GBM), an aggressive form of brain cancer.... View Details
Keywords: Clinical Trials; Cancer; Adaptive Platform Trials; Platform Trials; Adaptive Trials; Glioblastoma; Health; Health Care and Treatment; Health Testing and Trials; Business Strategy; Innovation Strategy; Health Industry; United States
Stern, Ariel D., and Sarah Mehta. "Adaptive Platform Trials: The Clinical Trial of the Future?" Harvard Business School Case 618-025, September 2017. (Revised July 2023.)
- 2022
- Article
Data Poisoning Attacks on Off-Policy Evaluation Methods
By: Elita Lobo, Harvineet Singh, Marek Petrik, Cynthia Rudin and Himabindu Lakkaraju
Off-policy Evaluation (OPE) methods are a crucial tool for evaluating policies in high-stakes domains such as healthcare, where exploration is often infeasible, unethical, or expensive. However, the extent to which such methods can be trusted under adversarial threats... View Details
Lobo, Elita, Harvineet Singh, Marek Petrik, Cynthia Rudin, and Himabindu Lakkaraju. "Data Poisoning Attacks on Off-Policy Evaluation Methods." Proceedings of the Conference on Uncertainty in Artificial Intelligence (UAI) 38th (2022): 1264–1274.