Members of Generation Z are facing record-high inflation rates for the first time in their lives, and those entering the job market are running into formidable hurdles. Will they fare better than their older peers?
Using machine learning and big data to analyse the business cycle
Prepared by Dominik Hirschbühl, Luca Onorante and Lorena Saiz
1 Introduction
Policymakers take decisions in real time based on incomplete information about current economic conditions. Central banks and economic analysts largely rely on official statistics together with soft data and surveys, to assess the state of the economy. Although a wide range of high-quality conventional data is available, the datasets are released with lags ranging from a few days or weeks to several months after the reference period. For these reasons, central banks have been looking at ways to exploit timelier data and employ more sophisticated methods to enhance accuracy when forecasting metrics that are relevant for policymaking.
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