Science - Publications - Faculty & Research

1995
Chapter

Incentive Problems in Financial Contracting: Impacts on Corporate Financing, Investment, and Risk Management Policies

Keywords: Catastrophe Risk; Corporate Finance; Cost Of Capital; Banking And Insurance; Asset Pricing; Hedging; Banking; Decision Choice And Uncertainty; Financial Markets; Insurance; Policy; Risk Management; Natural Disasters; Insurance Industry

Citation

1999
Chapter

The Limited Financing of Catastrophe Risk: An Overview

By: K. Froot

Keywords: Catastrophe Risk; Corporate Finance; Cost Of Capital; Banking And Insurance; Asset Pricing; Hedging; Banking; Natural Disasters; Insurance; Risk Management; Financial Markets; Policy; Insurance Industry

Citation

June 2004 (Revised April 2005)
Background Note

Environmental Law in Real Estate Transactions

By: Arthur I Segel, Jeff Mandelbaum and Armen Panossian

Summarizes several of the major federal environmental statutes, most notably the Comprehensive Environmental Response, Compensation and Liability Act ("CERCLA" or "Superfund"). Also discusses several state and local regulations. View Details

Keywords: Environmental Sustainability; Laws and Statutes; Real Estate Industry

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2019
Article

History, Micro Data, and Endogenous Growth

By: Ufuk Akcigit and Tom Nicholas

The study of economic growth is concerned with long-run changes, and therefore, historical data should be especially influential in informing the development of new theories. In this review, we draw on the recent literature to highlight areas in which study of history... View Details

Keywords: Economic Development; Growth; Innovation; Economic Growth; History; Analytics and Data Science; Innovation and Invention

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12 PM – 1 PM EDT, 01 Nov 2016
Webinars: Trending@HBS

Leadership in the Digital Era

Digital technologies have revolutionized relationships, and leadership is no exception. To be truly engaged, effective leaders must harness the power of digital communications and branding rather than remain on the sidelines, frozen by fear and the unknown. The key is... View Details

Student-Profile

Elliot Tobin

football.” After earning his bachelor’s degree in economics, management from MIT and a master’s in applied economics and data science from Boston College, the Minnesota transplant is currently balancing his HBS research in accounting and... View Details

Web

The Spread and Adoption of Option Pricing Models - Option Pricing in Theory & Practice: The Nobel Prize Research of Robert C. Merton - Exhibits - Historical Collections

Economic Sciences Chicago Board of Options Exchange Exhibit Home The Spread and Adoption of Option Pricing Models Robert C. Merton in the classroom, ca. 1972. Bradford F. Herzog, Photographer. Robert Cox Merton Papers, HBS Archives, Baker... View Details

Web

The Formula - Option Pricing in Theory & Practice: The Nobel Prize Research of Robert C. Merton - Exhibits - Historical Collections

Economic Sciences Chicago Board of Options Exchange Exhibit Home The Formula “Restrictions on Options Pricing” manuscript. Robert Cox Merton Papers, HBS Archives, Baker Library Historical Collections In 1970, Robert Merton joined Myron... View Details

Web

Drake Du | MBA

Drake Du Computer Science Lowell 2026 Cohort 7 I am honored to be able to serve as a Roberts Family Fellow and have the opportunity to learn and innovate among a community of peers, mentors, and faculty across Harvard University. Each day... View Details

Career Coach

Kevin Dolan

is an avid runner. He is on the Board of Directors of The People’s Music School in Chicago, an organization that provides rigorous music education to children who face financial barriers. Kevin has an MBA from Harvard Business School and a Bachelor of View Details

Forthcoming
Article

Slowly Varying Regression Under Sparsity

By: Dimitris Bertsimas, Vassilis Digalakis Jr, Michael Lingzhi Li and Omar Skali Lami

We consider the problem of parameter estimation in slowly varying regression models with sparsity constraints. We formulate the problem as a mixed integer optimization problem and demonstrate that it can be reformulated exactly as a binary convex optimization problem... View Details

Keywords: Mathematical Methods; Analytics and Data Science

2024
Working Paper

Empirical Guidance: Data Processing and Analysis with Applications in Stata, R, and Python

By: Melissa Ouellet and Michael W. Toffel

This paper describes a range of best practices to compile and analyze datasets, and includes some examples in Stata, R, and Python. It is meant to serve as a reference for those getting started in econometrics, and especially those seeking to conduct data analyses in... View Details

Keywords: Empirical Methods; Empirical Operations; Statistical Methods And Machine Learning; Statistical Interferences; Research Analysts; Analytics and Data Science; Mathematical Methods

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May 8, 2020
Article

Which Covid-19 Data Can You Trust?

By: Satchit Balsari, Caroline Buckee and Tarun Khanna

The COVID-19 pandemic has produced a tidal wave of data, but how much of it is any good? And as a layperson, how can you sort the good from the bad? The authors suggest a few strategies for dividing the useful data from the misleading: Beware of data that’s too broad... View Details

Keywords: COVID-19 Pandemic; Health Pandemics; Analytics and Data Science

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June 2016
Article

Technology Choice and Capacity Portfolios under Emissions Regulation

By: David Drake, Paul R. Kleindorfer and Luk N. Van Wassenhove

We study the impact of emissions tax and emissions cap-and-trade regulation on a firm's technology choice and capacity decisions. We show that emissions price uncertainty under cap-and-trade results in greater expected profit than a constant emissions price under an... View Details

Keywords: Technology Management; Management; Technology; Service Operations; Environmental Sustainability

September 2014
Article

Advancing Consumer Neuroscience

By: Ale Smidts, Ming Hsu, Alan G. Sanfey, Maarten A. S. Boksem, Richard B. Ebstein, Scott A. Huettel, Joe W. Kable, Uma R. Karmarkar, Shinobu Kitayama, Brian Knutson, Israel Liberzon, Terry Lohrenz, Mirre Stallen and Carolyn Yoon

In the first decade of consumer neuroscience, strong progress has been made in understanding how neuroscience can inform consumer decision making. Here, we sketch the development of this discipline and compare it to that of the adjacent field of neuroeconomics. We... View Details

Keywords: Consumer Neuroscience; Neuroeconomics; Social Neuroscience; Genes; Machine Learning; Meta-analysis; Consumer Behavior; Decision Making; Science

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2013
Chapter

Assessing Potential Carbon Revenues from Reduced Forest Cover Loss in Liberia

By: Jessica Donovan, Keith Lawrence, Christopher Neyor, Eduard Niesten and Eric Werker

We conducted an analysis that explores the merits of a low-carbon development strategy for Liberia. This chapter describes both our cost-benefit analysis initiative and a plausible policy process for Liberia. We proposed a simple approach that models the costs and... View Details

Keywords: Carbon Revenue; Liberia; Deforestation; Climate Change; Environmental Sustainability; Liberia