NATIONAL BUREAU OF ECONOMIC RESEARCH
NATIONAL BUREAU OF ECONOMIC RESEARCH
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Transforming Naturally Occurring Text Data Into Economic Statistics: The Case of Online Job Vacancy Postings

Arthur Turrell, Bradley J. Speigner, Jyldyz Djumalieva, David Copple, James Thurgood

NBER Working Paper No. 25837
Issued in May 2019

---- Acknowledgments ----

The authors would like to thank Katherine Abraham, James Barker, David Bholat, David Bradnum, Emmet Cassidy, Matthew Corder, Rodrigo Guimaraes, Frances Hill, Tomas Key, Graham Logan, Michaela Morris, Michael Osbourne, Kate Reinold, Paul Robinson, Ayşegül Şahin, Ben Sole, Vincent Sterk, and the participants of the NBER Conference on Big Data in the 21st Century. We would especially like to thank William Abel for his help throughout the project. The views expressed herein are those of the authors and do not necessarily reflect the views of the National Bureau of Economic Research or the Bank of England. This work was funded by the Bank of England.

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