Marcus Buckmann, Galina Potjagailo and Philip Schnattinger Disentangling the sources of high inflation, exceeding inflation targets in the post- pandemic period, has been a priority for monetary policy makers. We use machine learning for this task – a boosted decision tree model that fits non-linear associations between many indicators and inflation. We add economic interpretability … Continue reading Boosted inflation – using machine learning to make sense of non-linear determinants of inflation