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  • October 2023
  • Article

Speedy Activists: Firm Response Time to Sociopolitical Events Influences Consumer Behavior

By: Jimin Nam, Maya Balakrishnan, Julian De Freitas and Alison Wood Brooks
Organizations face growing pressure from their consumers and stakeholders to take public stances on sociopolitical issues. However, many are hesitant to do so lest they make missteps, promises they cannot keep, appear inauthentic, or alienate consumers, employees, or... View Details
Keywords: Brands and Branding; Public Opinion; Social Media; Social Issues
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  • July 2023 (Revised July 2023)
  • Background Note

Generative AI Value Chain

By: Andy Wu and Matt Higgins
Generative AI refers to a type of artificial intelligence (AI) that can create new content (e.g., text, image, or audio) in response to a prompt from a user. ChatGPT, Bard, and Claude are examples of text generating AIs, and DALL-E, Midjourney, and Stable Diffusion are... View Details
Keywords: AI; Artificial Intelligence; Model; Hardware; Data Centers; AI and Machine Learning; Applications and Software; Analytics and Data Science; Value
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  • 2023
  • Working Paper

Corporate Website-based Measures of Firms' Value Drivers

By: Wei Cai, Dennis Campbell and Patrick Ferguson
We develop and validate new text-based measures of firms’ financial and non-financial value drivers. Using the Wayback Machine to access public US firms’ archived websites from 1995-2020, we scrape text from corporate homepages. We use Kaplan and Norton’s (1992)... View Details
Keywords: Value; Corporate Strategy; Accounting; Analytics and Data Science
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  • March 2018
  • Article

Scraped Data and Sticky Prices

By: Alberto Cavallo
I use daily prices collected from online retailers in five countries to study the impact of measurement bias on three common price stickiness statistics. Relative to previous results, I find that online prices have longer durations, with fewer price changes close to... View Details
Keywords: Online Data; Scraped Data; Sticky Prices; Scanner Data; Consumer Price Index; Price; Data and Data Sets
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  • Spring 2016
  • Article

The Billion Prices Project: Using Online Prices for Inflation Measurement and Research

By: Alberto Cavallo and Roberto Rigobon
New data-gathering techniques, often referred to as “Big Data” have the potential to improve statistics and empirical research in economics. In this paper we describe our work with online data at the Billion Prices Project at MIT and discuss key lessons for both... View Details
Keywords: Billion Prices Project; Online Scraped Data; Online Price Index; Economics; Research; Price; Analytics and Data Science
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