Publications

Publications

Filter Results: (1,738) Arrow Down
Filter Results: (1,738) Arrow Down Arrow Up

Show Results For

Show Results For

← Page 42 of 1,738 Results →
  • March 1987
  • Article

Using Survey Data to Test Standard Propositions Regarding Exchange Rate Expectations

By: J. Frankel and K. A. Froot
Keywords: Currencies; Exchange Rates; Asset Pricing; International Macroeconomics; Monetary Policy; Currency Controls; Fixed Exchange Rates; Floating Exchange Rates; Currency Bands; Currency Zones; Currency Areas; Rational Expectations; Analytics and Data Science; Finance
Related
  • February 1985 (Revised August 1985)
  • Supplement

Computervision-Japan (C)

Presents sales data for 1983 and 1984. View Details
Keywords: Analytics and Data Science; Sales
Related
  • 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
Related
  • 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
Related
  • 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
Related
  • 26 Jul 2018
  • News

Running the Numbers

people to buy into a new vision or better way of doing things is my favorite kind of challenge.” Today, as CEO of the Kraft Analytics Group (KAGR), a Massachusetts-based tech-intensive company focused on data management, strategic... View Details
Keywords: Deborah Blagg
  • Fast Answer

Real estate finance

Where can I find analysis of developments in real estate finance? Real Capital Analytics (RCA): Records over $40 trillion in commercial property transactions tied to 200,000+ investor and lender profiles, spanning diverse property types... View Details
  • 25 Aug 2017
  • Blog Post

HBS Interns: Summer Takeovers

in technology at the Sephora Innovation Lab. Jenn researched the impacts of artificial intelligence on the retail industry and participated in idea hackathons to brainstorm creative new ways for the brand to innovate. Adam Behrens, View Details
Keywords: All Industries
  • 2019
  • Article

Can Big Data Improve Firm Decision Quality? The Role of Data Quality and Data Diagnosticity

By: Maryam Ghasemaghaei and Goran Calic
Anecdotal evidence suggests that, despite the large variety of data, the huge volume of generated data, and the fast velocity of obtaining data (i.e., big data), quality of big data is far from perfect. Therefore, many firms defer collecting and integrating big data as... View Details
Keywords: Big Data; Analytics and Data Science; Decisions; Quality
Related
  • June 2012
  • Article

A Reexamination of Tunneling and Business Groups: New Data and New Methods

By: Jordan I. Siegel and Prithwiraj Choudhury
One of the most rigorous methodologies in the corporate governance literature uses firms' reactions to industry shocks to characterize the quality of governance. This methodology can produce the wrong answer unless one considers the ways firms compete. Because... View Details
Keywords: Corporate Governance; Mergers And Acquisitions; Business Economics; Firm Organization; Firm Performance; Groups and Teams; Analytics and Data Science
Related
  • 06 Dec 2021
  • News

HBS Curricula Explore the Complexities of Innovation

of data management and analytics also led HBS to introduce Data Science for Managers, a new Required Curriculum elective for first-year MBA students. Then in their second year, they can choose from a range of data science courses (see... View Details
Keywords: Jennifer Gillespie
  • Article

Fast Generalized Subset Scan for Anomalous Pattern Detection

By: Edward McFowland III, Skyler Speakman and Daniel B. Neill
We propose Fast Generalized Subset Scan (FGSS), a new method for detecting anomalous patterns in general categorical data sets. We frame the pattern detection problem as a search over subsets of data records and attributes, maximizing a nonparametric scan statistic... View Details
Keywords: Pattern Detection; Anomaly Detection; Knowledge Discovery; Bayesian Networks; Scan Statistics; Analytics and Data Science
Related
  • 16 Jun 2017
  • Blog Post

What is the HBS Leadership Fellows Program?

social-sector organizations with access to analytic and strategic talent to deliver high-impact results Encouraging emerging leaders to develop an appreciation for and understanding of the complexities of leading in the social sector The... View Details
Keywords: Nonprofit / Government
  • Article

Beyond Statistics: The Economic Content of Risk Scores

By: Liran Einav, Amy Finkelstein, Raymond Kluender and Paul Schrimpf
"Big data" and statistical techniques to score potential transactions have transformed insurance and credit markets. In this paper, we observe that these widely-used statistical scores summarize a much richer heterogeneity, and may be endogenous to the context in which... View Details
Keywords: Analytics and Data Science; Risk and Uncertainty; Insurance Industry
Related
  • February 25, 2016
  • Article

The Hodgepodge Principle in U.S. Privacy Policy

By: John A. Deighton
Data, says Professor Lawrence Summers, is the new oil, "a hugely valuable asset essential to economic life." Personal data, the kind of data that invites thoughts of privacy, is a big part of that. The European Union saw this economic fuel source coming long ago and... View Details
Keywords: Data; Privacy; Technology; Big Data; Personal Data; Marketing; Information Technology; Analytics and Data Science
  • 01 Jun 2010
  • News

The MBA at a Crossroads

criticized business schools for serving up largely vocational training lacking in the analytical rigor deemed necessary to lay claim to academic respectability. Spurred on by the reports, business schools forged an View Details
Keywords: Roger Thompson; Colleges, Universities, and Professional Schools; Educational Services
  • Web

Creating Value in Business and Government (HKS-HBS Joint Degree Seminar) - Course Catalog

their third year. Its purpose is to integrate the perspectives and analytic tools provided by the HKS core curricula in the MPP or MPA/ID programs with the perspectives and analytic tools provided by the... View Details
  • 01 Dec 2011
  • News

What HBS Learned from West Point

something more holistic. They respond to character—who you are, your values, and your identity.” The parallels for business educators are striking. Business schools have been criticized for relying too heavily on teaching disciplinary knowledge and developing View Details
Keywords: military education; National Security and International Affairs; Government
  • March 2022 (Revised January 2025)
  • Technical Note

Prediction & Machine Learning

By: Iavor I. Bojinov, Michael Parzen and Paul 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
Related
  • May–June 2015
  • Article

Big Data: Big Deal or Big Hype?

By: Sunil Gupta
Google Flu Trends article of November 2008 heralded a new age for big data where it is possible to leverage the vast amount of data to speak for itself, without theory or expert knowledge of the subject matter. However, in a short span the pendulum swung from big data... View Details
Keywords: Big Data; Analytics and Data Science; Management Practices and Processes
Related