Ivan Yotzov, Nick Bloom, Philip Bunn, Paul Mizen, Pawel Smietanka and Greg Thwaites
Text data is often raw and unstructured, and yet it is the key means of human communication. Textual analysis techniques are increasingly being used in economic and financial research in a variety of different ways. In this post we apply these techniques to a new setting: the text comments left by respondents to the Decision Maker Panel (DMP) Survey, a UK-wide monthly business survey. Using over 20,000 comments, we show that: (i) these comments are a rich and unexplored data source, (ii) Brexit has been the dominant topic of comments since 2016, (iii) text-based indices match existing uncertainty measures from the DMP at both the aggregate and firm level, and (iii) sentiment among UK firms has been declining since 2016.