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TAXFAIR

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MAXIMIZING THE TAX REVENUES FROM THE AUTOMATIC FINANCIAL ACCOUNT INFORMATION EXC...

MAXIMIZING THE TAX REVENUES FROM THE AUTOMATIC FINANCIAL ACCOUNT INFORMATION EXCHANGE SYSTEM Tax evasion represents a pervasive phenomenon and a substantial portion can be attributable to income held abroad. The general consensus at global level is that cross-border tax evasion can be fought effectively by further increas... see more

31/05/2025

NHH

227K€

Project Budget: 227K€

Project leader

NORGES HANDELSHOYSKOLE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

PARTICIPATION DEPralty Sin fecha límite de participación.

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Financing granted El organismo HORIZON EUROPE notifico la concesión del proyecto The day 2025-05-31

HORIZON-MSCA-2021-PF-01-01: MSCA Postdoctoral Fellowships 2024 ExpectedOutcome:

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3 Participantes

NHH

226.75K€ | Leader

INTERNATIONAL MONETARY FUND

International Monetary Fund

N.D. | participant

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Project duration: 35 months Date Start: 2022-06-28
End date: 2025-05-31

Project leader

NORGES HANDELSHOYSKOLE No se ha especificado una descripción o un objeto social para esta compañía.

TRL 4-5

Project Budget 227K€

participation deadline Sin fecha límite de participación.

Project description Tax evasion represents a pervasive phenomenon and a substantial portion can be attributable to income held abroad. The general consensus at global level is that cross-border tax evasion can be fought effectively by further increasing information exchange between countries. Anecdotal evidence suggests that introducing a system for the automatic exchange of information (AEOI) is extremely costly. Yet, we lack a direct assessment of the related benefits. TAXFAIR aims to analyze the effectiveness of the AEOI system to mobilize tax revenues and to determine the characteristics of an AEOI system that maximizes tax revenue extraction. Specifically, 1. I will create a high-quality novel dataset based on administrative data on Norwegian residents and a dataset containing institutional information on locally implemented AEOI systems; 2. I will apply state-of-the-art regression models to the administrative dataset to quantify the tax revenue recovered from the introduction of a AEOI system; 3. By combining the institutional information dataset and the administrative dataset, I will empirically analyze the traits that maximize the tax revenues recovered from the local AEOI systems. Overall, TAXFAIR will provide a knowledge based framework for governments and policymakers which will allow them to increase the monetary resources highly needed for financing the recovery from the massive negative economic shock induced by the COVID19 pandemic. While working on the action, I will develop new methodological skills (especially on machine learning), cross-sectorial skills (through the research stay at the IMF), stronger communication skills (by presenting at international conferences and via video clips), and further teaching and organizational skills (especially by organizing a case study competition joint with the industry). Overall, the MSCA fellowship will undoubtedly jump-start my career allowing me to emerge as an independent researcher with multiple attractive career pathways.

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