Coming soon at Bank of Norway:
CALL FOR PAPERS
Big data, machine learning and the macroeconomy
Norges Bank, Oslo, 2-3 October 2017
Data, in both structured and unstructured form, are becoming easily available on an ever
increasing scale. To find patterns and make predictions using such big data, machine learning
techniques have proven to be extremely valuable in a wide variety of fields.
This conference aims to gather researchers using machine learning and big data to answer
challenges relevant for central banking.
Examples of questions, and topics, of interest are:
Forecasting applications and methods
-Can better predictive performance of key economic aggregates (GDP,
inflation, etc.) be achieved by using alternative data sources?
- Does the machine learning tool-kit add value to already well-established
forecasting frameworks used at central banks?
- How can new sources of data and methods be used learn about the causal
mechanism underlying economic fluctuations?
Text as data
- Communication is at the heart of modern central banking. How does this
- How can textual data be linked to economic concepts like uncertainty, news,
Confirmed keynote speakers are:
- Victor Chernozhukov (MIT)
- Matt Taddy (Microsoft, Chicago Booth)
The conference will feature 10-12 papers. If you would like to present a paper, please send a
draft or an extended abstract to firstname.lastname@example.org by 31 July 2017. Authors of
accepted papers will be notified by 15 August. For other questions regarding this conference,
please send an e-mail to email@example.com.
Conference organizers are Vegard H. Larsen and Leif Anders Thorsrud.