
Jour Fixe - Household Surveys and Machine Learning
Jan Radermacher
Heterogeneity and the MPC: Observations from Machine Learning
Using a special Dutch survey that collects self-reported answers by households (HH) to unexpected hypothetical positive/negative income shocks, we use machine learning (ML) methods to try and identify distinct groups/clusters of HH’s that respond differently to the MPC. Our goal is two fold:
1. Compare our findings with that of traditional least squares methods.
2. Highlight the potential of ML methods in the HH finance/macroeconomics literature
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The following sponsors support efl - the Data Science Institute Frankfurt




