Optimizing Tax Administration Policies with Machine Learning
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Cited by:
- Elliott Ash & Sergio Galletta & Tommaso Giommoni, 2021. "A Machine Learning Approach to Analyze and Support Anti-Corruption Policy," CESifo Working Paper Series 9015, CESifo.
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More about this item
Keywords
policy prediction problems; tax behaviour; big data; machine learning;All these keywords.
JEL classification:
- H26 - Public Economics - - Taxation, Subsidies, and Revenue - - - Tax Evasion and Avoidance
- H32 - Public Economics - - Fiscal Policies and Behavior of Economic Agents - - - Firm
- C53 - Mathematical and Quantitative Methods - - Econometric Modeling - - - Forecasting and Prediction Models; Simulation Methods
NEP fields
This paper has been announced in the following NEP Reports:- NEP-BIG-2020-03-23 (Big Data)
- NEP-CMP-2020-03-23 (Computational Economics)
- NEP-PBE-2020-03-23 (Public Economics)
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