Journal article · 2024
Implementing Machine Learning Methods in Estimating the Size of the Non-observed Economy
Computational Economics 63(4), 1459–1476
Summary
Shows that machine-learning methods, notably a random forest, estimate currency demand more accurately than the standard currency-demand regressions, improving estimates of the size of unregistered economic activity.
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Research theme
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