Publications

SSRN

21 Jan 2020
Working Paper Summaries

The Impact of the General Data Protection Regulation on Internet Interconnection

Keywords: by Ran Zhuo, Bradley Huffaker, KC Claffy, and Shane Greenstein

August 2015 (Revised September 2016)
Case

Duetto: Industry Transformation with Big Data

By: Lynda M. Applegate, Gabriele Piccoli and Federico Pigni

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January 2018
Article

Big Data and Big Cities: The Promises and Limitations of Improved Measures of Urban Life

By: Edward L. Glaeser, Scott Duke Kominers, Michael Luca and Nikhil Naik

New, "big" data sources allow measurement of city characteristics and outcome variables at higher frequencies and finer geographic scales than ever before. However, big data will not solve large urban social science questions on its own. Big data has the most value for... View Details

Keywords: Analytics and Data Science; Urban Scope; City

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When Google bought Nest, a maker of digital thermostats, for $3.2 billion just a few months ago, it was a clear indication that digital transformation and connection are spreading across even the most traditional industrial segments and creating a staggering array... View Details

November 2023
Article

Federated Electronic Health Records for the European Health Data Space

By: René Raab, Arne Küderle, Anastasiya Zakreuskaya, Ariel Dora Stern, Jochen Klucken, Georgios Kaissis, Daniel Rueckert, Susanne Boll, Roland Eils, Harald Wagener and Bjoern Eskofier

The European Commission's draft for the European Health Data Space (EHDS) aims to empower citizens to access their personal health data and share it with physicians and other health-care providers. It further defines procedures for the secondary use of electronic... View Details

Keywords: Analytics and Data Science; Cybersecurity; Information Management; Knowledge Sharing; Knowledge Use and Leverage; Health Industry

December 2011
Article

Data Impediments to Empirical Work on Health Insurance Markets

By: Leemore S. Dafny, David Dranove, Frank Limbrock and Fiona Scott Morton

We compare four datasets that researchers might use to study competition in the health insurance industry. We show that the two datasets most commonly used to estimate market concentration differ considerably from each other (both in levels and in changes over time),... View Details

Keywords: Competition; Analytics and Data Science; Market Participation; Insurance Industry

Web

Historical Data & Sources - Business History

Notes: Literacy rates are based on population surveys which were not conducted on a regular basis and did not cover many developing countries. Download Data Set in Excel Apollo... View Details

26 Feb 2014
News

Big Data in the Driver's Seat

27 Sep 2021
News

Uncovering the Secret to Clean Data

18 Mar 2014
News

The Oz of Data Opens the Curtain

Scott Howe Nineteenth-century Philadelphia retailer John Wanamaker famously said, "Half the money I spend on advertising is wasted; the trouble is I don't know which half." Nearly 150 years later, Scott Howe (MBA 1994), president and CEO... View Details

Keywords: Robert S. Benchley; Data Processing, Hosting, and Related Services; Data Processing, Hosting, and Related Services

September 2021 (Revised December 2021)
Case

Spire, the CubeSat Revolution, and the Government as a Space Data Customer

By: Matthew Weinzierl, Mehak Sarang and Brendan L. Rosseau

This case outlines the rise of Spire Global, a young space company using CubeSats to provide weather data and weather prediction services. In addition to tracing the evolution of a space startup from novel idea to publicly-traded company, the case also examines the... View Details

Keywords: Space; Government Contracting; Remote Sensing; Satellites; Business Startups; Public Sector; Cost vs Benefits; Competition; Weather; Forecasting and Prediction

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Web

Data Visualization for Analysis and Communication - Course Catalog

Project : create a visualization presentation that sends a message Analysis and Control Boston CityScore case Dashboard design Visualization tools: testing hypotheses Project : create a dashboard using Boston city View Details

October 2021
Case

CrisisReady: Private Data for Public Good

By: Tarun Khanna and James Barnett

In October 2021, CRISISREADY.io considers how and if it should scale operations. View Details

Keywords: Decision Making; Ethics; Globalization; Governance; Government and Politics; Intellectual Property; Science; Technology

2009
Chapter

Entry, Exit and Labour Productivity in U.K. Retailing: Evidence from Micro Data

By: Jonathan Haskel and Raffaella Sadun

The paper investigates the U.K. retail sector using store and firm-level data between 1998 and 2003. First, we present the first exhaustive description of the U.K. retail sector using micro data sources. Second, in the spirit of Foster, Haltiwanger, and Krizan (2002),... View Details

Keywords: Business Ventures; Market Entry and Exit; Organizational Change and Adaptation; Performance Productivity; Retail Industry; United Kingdom

September 2022 (Revised July 2023)
Case

Data Privacy in Practice at LinkedIn

By: Iavor Bojinov, Marco Iansiti and Seth Neel

Purchase

July–August 2013
Article

A Joint Model of Usage and Churn in Contractual Settings

By: Eva Ascarza and Bruce G.S. Hardie

As firms become more customer-centric, concepts such as customer equity come to the fore. Any serious attempt to quantify customer equity requires modeling techniques that can provide accurate multiperiod forecasts of customer behavior. Although a number of researchers... View Details

Keywords: Churn; Retention; Contractual Settings; Access Services; Hidden Markov Models; RFM; Latent Variable Models; Customer Value and Value Chain; Consumer Behavior

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2023
Working Paper

Distributionally Robust Causal Inference with Observational Data

By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li

We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details

Keywords: AI and Machine Learning; Mathematical Methods