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- February 2003 (Revised October 2004)
- Background Note
Antamini Simulation Model
By: Peter Tufano
Antamini is a simulation of the value of an investment project whose outcome is uncertain. This case describes the situation facing a natural resource firm as it contemplates bidding on a copper mine in Peru. The bidder faces uncertainties about the ore deposit size... View Details
Tufano, Peter. "Antamini Simulation Model." Harvard Business School Background Note 203-083, February 2003. (Revised October 2004.)
- February 2007
- Background Note
BASIX Simulation Model
By: Peter Tufano and Shawn A. Cole
Explains how to use Crystal Ball to simulate the insurance decision in the BASIX case. View Details
- 2021
- Article
ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation
By: Chuang Gan, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott and Daniel L.K. Yamins
We introduce ThreeDWorld (TDW), a platform for interactive multi-modal physical simulation. TDW enables simulation of high-fidelity sensory data and physical interactions between mobile agents and objects in rich 3D environments. Unique properties include: real-time... View Details
Keywords: Artificial Intelligence; Platform; Interactive Physical Simulation; Virtual Environment; Multi-modal; AI and Machine Learning
Gan, Chuang, Jeremy Schwartz, Seth Alter, Damian Mrowca, Martin Schrimpf, James Traer, Julian De Freitas, Jonas Kubilius, Abhishek Bhandwaldar, Nick Haber, Megumi Sano, Kuno Kim, Elias Wang, Michael Lingelbach, Aidan Curtis, Kevin Feigelis, Daniel M. Bear, Dan Gutfreund, David Cox, Antonio Torralba, James J. DiCarlo, Joshua B. Tenenbaum, Josh H. McDermott, and Daniel L.K. Yamins. "ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation." Conference on Neural Information Processing Systems (NeurIPS), Datasets and Benchmarks Track 35th (2021).
- July 2023
- Article
Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations
By: Dawson Beutler, Alex Billias, Sam Holt, Josh Lerner and TzuHwan Seet
In 2001, Dean Takahashi and Seth Alexander of the Yale University Investments Office developed a deterministic model for estimating future cash flows and valuations for the Yale endowment’s private equity portfolio. Their model, which is simple and intuitive, is still... View Details
Beutler, Dawson, Alex Billias, Sam Holt, Josh Lerner, and TzuHwan Seet. "Takahashi-Alexander Revisited: Modeling Private Equity Portfolio Outcomes Using Historical Simulations." Journal of Portfolio Management 49, no. 7 (July 2023): 144–158.
- December 2002
- Background Note
Simulation of Prices, Rates and Cash Flows (A)
Explicitly considers the most common propagation models for financial variables and explains how to determine the statistical properties of these variables and simulate their future values. Covers arithmetic Brownian motion, geometric Brownian motion, mean-reversion,... View Details
Shimko, David C. "Simulation of Prices, Rates and Cash Flows (A)." Harvard Business School Background Note 203-056, December 2002.
- Forthcoming
- Article
Imagining the Future: Memory, Simulation and Beliefs
By: Pedro Bordalo, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli and Andrei Shleifer
How do people form beliefs about novel risks, with which they have little or no experience? Motivated by survey data on beliefs about Covid we collected in 2020, we build a model based on the psychology of selective memory. When a person thinks about an event,... View Details
Bordalo, Pedro, Giovanni Burro, Katherine B. Coffman, Nicola Gennaioli, and Andrei Shleifer. "Imagining the Future: Memory, Simulation and Beliefs." Review of Economic Studies (forthcoming). (Pre-published online June 27, 2024.)
- January 1984
- Article
A Simulation Analysis of Alternative Pricing Strategies for Dynamic Environments
By: Robert J. Dolan
Researchers of the strategic implications of the well-known demand (e.g., adoption and diffusion) and supply (e.g., experience effects) dynamics have typically sought analytical solutions. Their success in this has been achieved partly by limiting the richness of the... View Details
Dolan, Robert J. "A Simulation Analysis of Alternative Pricing Strategies for Dynamic Environments." Journal of Business 57, no. 1 (January 1984).
- 02 Oct 2020
- News
Computer Simulations Are Better — and More Affordable — than Ever
- 2013
- Dissertation
Designing Freemium: A Model of Consumer Usage, Upgrade, and Referral Dynamics
By: Clarence Lee, Vineet Kumar and Sunil Gupta
Abstract. Over the past decade "freemium" (free + premium) has become the dominant business model among internet start-ups for its ability to acquire and monetize a large install-base with limited marketing resources. Freemium is a hybrid strategy where a firm offers... View Details
- February 2010
- Supplement
Real Property Negotiation Game (CW): Excel Model
By: Arthur I. Segel, John Vogel and Justin Seth Ginsburgh
This Excel model is used to analyze the deals made in The Real Property Negotiation Game, which simulates the experience negotiating the sale, purchase, or financing of a property. View Details
- May 2011
- Article
Nonsimultaneous Chains and Dominos in Kidney Paired Donation—Revisited
By: Itai Ashlagi, Duncan S. Gilchrist, Alvin E. Roth and Michael A. Rees
Since 2008 kidney exchange in America has grown in part from the incorporation of non-directed donors in transplant chains rather than simple exchanges. It is controversial whether these chains should be performed simultaneously ("domino paired donation," DPD) or... View Details
Keywords: ABO Incompatibility; Allosensitization; Paired Kidney Exchange; Regional Sharing; Simulation Models; Transplantation Policy; Health Care and Treatment; Supply Chain; Risk and Uncertainty; Logistics; United States
Ashlagi, Itai, Duncan S. Gilchrist, Alvin E. Roth, and Michael A. Rees. "Nonsimultaneous Chains and Dominos in Kidney Paired Donation—Revisited." American Journal of Transplantation 11, no. 5 (May 2011): 984–994.
- Winter 2021
- Article
Making Economics More Useful: How Technological Eclecticism Could Help
By: Amar Bhidé
Keynes thought it would be ‘splendid’ if economists became more like dentists. Disciplinary economics
has instead become more like physics in focusing on concise, universal propositions verified
through decisive tests. This focus, I argue, limits the practical... View Details
Keywords: Economic Methodology; Simulations; Banking; Regulation; Judgment; Economics; Banks and Banking
Bhidé, Amar. "Making Economics More Useful: How Technological Eclecticism Could Help." Journal of Applied Corporate Finance 33, no. 1 (Winter 2021): 122–133.
- 2020
- Article
Making Economics More Useful: How Technological Eclecticism Could Help
By: Amar Bhidé
Keynes thought it would be ‘splendid’ if economists became more like dentists. Disciplinary economics has instead become more like physics in focusing on concise, universal propositions verified through decisive tests. This focus, I argue, limits the practical utility... View Details
Bhidé, Amar. "Making Economics More Useful: How Technological Eclecticism Could Help." Applied Economics 52, no. 26 (2020).
- June 2023 (Revised September 2023)
- Simulation
Managing the Customer Journey Marketing Simulation: Adobe's Data-Driven Operating Model (DDOM)
By: Sunil Gupta, Rajiv Lal and Celine Chammas
Adobe started monitoring Annual Recurring Revenue (ARR), one of its primary metrics, when it shifted from selling its software in a box to selling the software as a subscription-based cloud service. They wanted to know when, where, and how much to invest in marketing.... View Details
- May 2018
- Article
Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change
By: Edward L. Glaeser, Hyunjin Kim and Michael Luca
Data from digital platforms have the potential to improve our understanding of gentrification and enable new measures of how neighborhoods change in close to real time. Combining data on businesses from Yelp with data on gentrification from the Census, Federal Housing... View Details
Keywords: Forecasting Models; Simulation Methods; Regional Economic Activity: Growth, Development, Environmental Issues, And Changes; Geographic Location; Local Range; Transition; Analytics and Data Science; Measurement and Metrics; Economic Growth; Forecasting and Prediction
Glaeser, Edward L., Hyunjin Kim, and Michael Luca. "Nowcasting Gentrification: Using Yelp Data to Quantify Neighborhood Change." AEA Papers and Proceedings 108 (May 2018): 77–82.
- January 2010
- Article
Open vs. Closed Innovation: A Model of Discovery and Divergence
By: Esteve Almirall and Ramon Casadesus-Masanell
When is open innovation superior to closed innovation? Through a formal simulation model, we show that an open approach to innovation allows the firm to discover combinations of product features that would be hard to envision under integration. However, when partners... View Details
Keywords: Innovation and Invention; Partners and Partnerships; Goals and Objectives; Cost vs Benefits; Integration; Product
Almirall, Esteve, and Ramon Casadesus-Masanell. "Open vs. Closed Innovation: A Model of Discovery and Divergence." Academy of Management Review 35, no. 1 (January 2010): 27–47.
- Article
Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects
By: Juan Alcácer, Wilbur Chung, Ashton Hawk and Gonçalo Pacheco-de-Almeida
Strategy aims at understanding the differential effects of firms’ actions on performance. However, standard regression models estimate only the average effects of these actions across firms. Our paper discusses how random coefficient models (RCMs) may generate new... View Details
Alcácer, Juan, Wilbur Chung, Ashton Hawk, and Gonçalo Pacheco-de-Almeida. "Applying Random Coefficient Models to Strategy Research: Identifying and Exploring Firm Heterogeneous Effects." Strategy Science 3, no. 3 (September 2018): 481–553.
- 2023
- Working Paper
Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach
By: Ta-Wei Huang and Eva Ascarza
Data-driven targeted interventions have become a powerful tool for organizations to optimize business outcomes
by utilizing individual-level data from experiments. A key element of this process is the estimation
of Conditional Average Treatment Effects (CATE), which... View Details
Huang, Ta-Wei, and Eva Ascarza. "Debiasing Treatment Effect Estimation for Privacy-Protected Data: A Model Auditing and Calibration Approach." Harvard Business School Working Paper, No. 24-034, December 2023.
- 1994
- Article
Three-dimensional Finite Element Modeling of a Cervical Vertebra: An Investigation of Burst Fracture Mechanism
By: Kevin J. Bozic, J H Keyak, H B Skinner, H U Bueff and David Bradford
Finite element modeling was used to study the mechanical behavior of a cervical vertebra under axial compressive loading. A three-dimensional (3-D) finite element (FE) model of a mid-cervical vertebra using inhomogeneous material properties was generated from... View Details
- 18 Jun 2024
- Research & Ideas
Central Banks Missed Inflation Red Flags. This Pricing Model Could Help.
environments.” If central banks had used economic models that account for variations in the speed of firm’s pricing decisions rather than their traditional forecasting tools, policymakers might have detected rising inflation sooner,... View Details