Transcription of Text as Data - Stanford University
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Text as Data - Stanford University
Journal of Economic Literature 2019, 57(3), 535 574 IntroductionNew technologies have made available vast quantities of digital text, recording an ever-increasing share of human interac-tion, communication, and culture. For social scientists, the information encoded in text is a rich complement to the more structured kinds of data traditionally used in research, and recent years have seen an explosion of empirical economics research using text as take just a few examples: In finance, text from financial news, social media, and company filings is used to predict asset price movements and study the causal impact of new information.
The methods discus-sion is forward looking, providing an over - view of methods that are currently applied in economics as well as those that we expect to have high value in the future. Our discus-sion of applications is selective and necessar - ily omits many worthy papers. We highlight examples that illustrate particular methods
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