United in Currency, Divided in Growth: Dynamic Effects of Euro Adoption
Harry Aytug

TL;DR
This paper uses advanced machine learning methods to analyze the long-term economic growth effects of euro adoption, revealing average growth reductions and significant heterogeneity based on country characteristics.
Contribution
It introduces a novel causal inference approach combining causal forests with fixed effects to estimate dynamic, heterogeneous effects of euro adoption on growth.
Findings
Euro adoption reduces GDP growth by 0.3-0.4 percentage points on average.
Effects appear shortly after adoption and stabilize after about a decade.
Lower-income countries experience larger and more persistent growth shortfalls.
Abstract
Does euro adoption affect long-run economic growth? Existing evidence is mixed, reflecting limited treated countries, long horizons that challenge inference, and heterogeneity across member states. We estimate causal dynamic and heterogeneous treatment effects using Causal Forests with Fixed Effects (CFFE), a machine-learning approach that combines causal forests with two-way fixed effects. Under a conditional parallel-trends assumption, we find that euro adoption reduced annual GDP growth by 0.3-0.4 percentage points on average. Effects emerge shortly after adoption and stabilize after roughly a decade. Average effects mask substantial heterogeneity. Countries with lower initial GDP per capita experience larger and more persistent growth shortfalls than core economies. Weaker consumption and productivity growth contribute to the overall effect, while improvements in net exports…
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Taxonomy
TopicsItaly: Economic History and Contemporary Issues · Monetary Policy and Economic Impact · Economic Policies and Impacts
