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Publications

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  • 30 Nov 2018
  • News

Share Buybacks: Mismeasured and Misunderstood

  • 2006
  • Article

Using Investment Behavior to Assess the Pervasiveness of Price Mismeasurement

By: Diego Comin
Keywords: Investment; Behavior; Measurement and Metrics; Price
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  • June 2014
  • Article

Pitfalls and Fraud in Online Advertising Metrics: What Makes Advertisers Vulnerable to Cheaters, and How They Can Protect Themselves

By: Benjamin Edelman
How does online advertising become less effective than advertisers expect and less effective than measurements indicate? The current research explores problems that result, in part, from malfeasance by outside perpetrators who overstate their efforts to increase their... View Details
Keywords: Online Advertising; Measurement; Mismeasurement; Fraud; Invisible; Digital Marketing; Misleading and Fraudulent Advertising; Marketing Strategy
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  • 13 Nov 2020
  • Working Paper Summaries

The European Commission’s Sustainable Corporate Governance Report: A Critique

Keywords: by Mark Roe, Holger Spamann, Jesse Fried, and Charles Wang
  • 2021
  • Working Paper

Hidden Software and Veiled Value Creation: Illustrations from Server Software Usage

By: Raviv Murciano-Goroff, Ran Zhuo and Shane Greenstein
How do you measure the value of a commodity that transacts at a price of zero from an economic standpoint? This study examines the potential for and extent of omission and misattribution in standard approaches to economic accounting with regards to open source... View Details
Keywords: Server Software; Open Source Distribution; Applications and Software; Analytics and Data Science; Economics; Value Creation; Measurement and Metrics
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  • Research Summary

The Economics of Digitization

By: Shane M. Greenstein

What is the value of digital platforms that build on user-generated content? How well do existing frameworks explain the value of these businesses? While drawing on prior work, this research stream examines new issues in parts of the economy that previously were... View Details

  • January–February 2012
  • Article

A Simple Model Relating Accruals to Risk, and its Implications for the Accrual Anomaly

By: Mozaffar N. Khan
This paper models systematic risk as a function of mean-reverting accruals. When the true abnormal returns are zero, but the true betas are empirically unobserved, the model predicts the anomalous pattern of empirical results on the accrual anomaly: (i) CAPM abnormal... View Details
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  • 2013
  • Working Paper

Digital Dark Matter and the Economics of Apache

By: Shane Greenstein and Frank Nagle
Researchers have long hypothesized that spillovers from government, university, and private company R&D contribute to economic growth, but these contributions may be difficult to measure when they take a non-pecuniary form. The growth of networking devices and the... View Details
Keywords: Measurement and Metrics; Internet and the Web; Performance Productivity; Applications and Software; Economic Growth; Research and Development
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    Digital Dark Matter and the Economics of Apache

    Researchers have long hypothesized that research outputs from government, university, and private company R&D contribute to economic growth, but these contributions may be difficult to measure when they take a non-pecuniary form. The growth of networking... View Details
    • May 2014
    • Article

    Digital Dark Matter and the Economic Contribution of Apache

    By: Shane Greenstein and Frank Nagle
    Researchers have long hypothesized that research outputs from government, university, and private company R&D contribute to economic growth, but these contributions may be difficult to measure when they take a non-pecuniary form. The growth of networking devices and... View Details
    Keywords: Open Source; Apache; Economic Measurement; Digital Economics; Measurement and Metrics; Open Source Distribution; Internet and the Web; Information Technology; Applications and Software; Economic Growth; Research and Development; Web Services Industry; Information Technology Industry; United States
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    • 29 Oct 2013
    • First Look

    First Look: October 29

    and analyzes a novel data set consisting of a 1% sample of all outward-facing web servers used in the United States. We find that use of Apache potentially accounts for a mismeasurement of somewhere between $2 billion and $12 billion,... View Details
    Keywords: Sean Silverthorne
    • 25 Feb 2014
    • First Look

    First Look: February 25

    issues, and, if so, whether the magnitude is large enough to matter. The study develops and analyzes a novel data set consisting of a 1% sample of all outward-facing web servers used in the United States. We find that use of Apache potentially accounts for a View Details
    Keywords: Sean Silverthorne