3 Articles · 3 Papers Planned · 2026–ongoing · Ongoing
Abstract
This research series investigates the joint effects of fiscal policy (tax burden) and state digitalization (informatization) on the dynamics of Ukraine’s shadow economy. Using scenario analysis and game-theoretic frameworks accessible to second-year economic cybernetics students, we model three plausible futures for Ukraine’s informal sector under varying tax and digitalization regimes. The series synthesizes World Bank governance indicators, IMF shadow economy estimates, and Ukrainian State Statistics Service data with the Diia digital governance platform metrics, producing actionable policy recommendations for shadow economy reduction during wartime reconstruction and EU accession preparation.
Idea and Motivation
Ukraine’s shadow economy remains among the largest in Europe, estimated at 30–45% of GDP. Two forces push in opposite directions: tax burden drives economic activity underground, while digitalization of state services — the Diia platform, e-invoicing, cashless payments — increases transparency and raises the cost of informality. No existing study models their joint interaction using accessible quantitative methods suitable for economic cybernetics curricula.
This gap matters for two reasons. First, Ukraine’s EU accession process requires fiscal convergence, including measurable reduction of the informal sector. Second, wartime reconstruction will depend on tax revenue mobilization — understanding how digitalization can substitute for punitive taxation in reducing shadow activity is directly policy-relevant.
Goal
Produce a 3-paper series that (1) maps the problem landscape with descriptive statistics covering 2015–2025, (2) models three scenarios using game theory and scenario analysis with payoff matrices for government vs. informal-sector actors, and (3) derives policy recommendations with a decision framework integrating comparative analysis of Estonia, Georgia, and Poland — three post-socialist economies that have achieved significant shadow economy reductions through different policy mixes.
Scope
The series covers 3 papers across three complementary phases:
Table 1. Paper structure and thematic coverage
Paper Focus Area Key Topics
1 Problem Landscape Problem statement, literature review (Schneider, Medina), descriptive statistics on tax-to-GDP ratio and shadow economy estimates 2015–2025, Diia platform adoption metrics
2 Scenario Modelling Three-scenario analysis (high tax/low digital, balanced, low tax/high digital), game-theoretic payoff matrices for government vs. informal sector, Nash equilibrium identification
3 Policy and Comparison Comparative analysis (Estonia, Georgia, Poland), policy recommendations, integration with geopolitical risk monitoring, EU accession fiscal requirements, projections to 2030
Focus
The primary analytical focus spans six areas: tax-to-GDP ratio dynamics in Ukraine and peer economies; shadow economy estimation methods following the Schneider–Medina MIMIC approach; Ukraine’s Diia digital governance platform as a transparency mechanism; game theory applied to government–informal sector interaction; scenario analysis methodology for policy evaluation; and EU accession fiscal requirements as external constraints on Ukrainian fiscal policy.
The methodological approach is deliberately accessible — designed for second-year economic cybernetics students while remaining analytically rigorous. Game-theoretic models use simplified 2×2 and 3×3 payoff matrices rather than continuous strategy spaces, making the framework reproducible in educational settings.
Limitations
Estimation uncertainty Shadow economy estimates are inherently uncertain, with margins of ±5–10% of GDP across methodologies. Results should be interpreted as directional, not precise.
Wartime data gaps Reliable economic statistics for 2022–2024 are limited due to wartime disruption. The series acknowledges and documents these gaps explicitly.
Model simplification Game-theoretic models use simplified payoff structures. Real-world actors face richer strategy spaces and information asymmetries than captured here.
Public data only No proprietary fiscal data is used. All sources are publicly available (World Bank, IMF, State Statistics Service, Diia reports).
Scientific Value
The series makes four contributions. First, it provides the first joint analysis of tax burden and informatization effects on the Ukrainian shadow economy — existing studies treat these factors in isolation. Second, it develops an accessible game-theoretic framework suitable for economic cybernetics education, bridging the gap between advanced research methods and undergraduate curricula. Third, it produces scenario projections to 2030 under varying policy regimes, providing a structured basis for policy evaluation. Fourth, the work is directly policy-relevant during Ukraine’s EU accession preparation, where fiscal transparency metrics are a core assessment criterion.
Resources
Status
Ongoing. All 3 papers published. Series complete.
Published Articles Applied Research · 18 published
Analysis based on publicly available Ukrainian fiscal and governance data.
All Articles
1 Tax Burden, Digitalization, and Shadow Economy in Ukraine: A Problem Landscape (2015–2025) DOI 10/10 45 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 50% ○ ≥80% from verified, high-quality sources [a] DOI 38% ○ ≥80% have a Digital Object Identifier [b] CrossRef 13% ○ ≥80% indexed in CrossRef [i] Indexed 25% ○ ≥80% have metadata indexed [l] Academic 38% ○ ≥80% from journals/conferences/preprints [f] Free Access 69% ○ ≥80% are freely accessible [r] References 16 refs ✓ Minimum 10 references required [w] Words [REQ] 2,015 ✓ Minimum 2,000 words for a full research article. Current: 2,015 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19008827 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 6% ✗ ≥60% of references from 2025–2026. Current: 6% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (41 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
Applied Research · Mar 13, 2026 · 10 min read
2 Scenario Analysis: Modeling Three Futures for Ukraine's Shadow Economy (2025–2030) DOI 7/10 55 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 67% ○ ≥80% from verified, high-quality sources [a] DOI 67% ○ ≥80% have a Digital Object Identifier [b] CrossRef 11% ○ ≥80% indexed in CrossRef [i] Indexed 33% ○ ≥80% have metadata indexed [l] Academic 56% ○ ≥80% from journals/conferences/preprints [f] Free Access 78% ○ ≥80% are freely accessible [r] References 9 refs ○ Minimum 10 references required [w] Words [REQ] 2,248 ✓ Minimum 2,000 words for a full research article. Current: 2,248 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19016584 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 22% ✗ ≥60% of references from 2025–2026. Current: 22% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (57 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
Applied Research · Mar 14, 2026 · 11 min read
3 Policy Implications and a Decision Framework for Shadow Economy Reduction in Ukraine DOI 8/10 61 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 5% ○ ≥80% from editorially reviewed sources [t] Trusted 91% ✓ ≥80% from verified, high-quality sources [a] DOI 41% ○ ≥80% have a Digital Object Identifier [b] CrossRef 9% ○ ≥80% indexed in CrossRef [i] Indexed 86% ✓ ≥80% have metadata indexed [l] Academic 41% ○ ≥80% from journals/conferences/preprints [f] Free Access 73% ○ ≥80% are freely accessible [r] References 22 refs ✓ Minimum 10 references required [w] Words [REQ] 2,069 ✓ Minimum 2,000 words for a full research article. Current: 2,069 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19016590 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 14% ✗ ≥60% of references from 2025–2026. Current: 14% [c] Data Charts 0 ○ Original data charts from reproducible analysis (min 2). Current: 0 [g] Code — ○ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (67 × 60%) + Required (3/5 × 30%) + Optional (1/4 × 10%)
Applied Research · Mar 14, 2026 · 10 min read
4 Tax Evasion Mechanisms in Ukraine: A Typology of Shadow Economy Channels DOI 7/10 58 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 40% ○ ≥80% from editorially reviewed sources [t] Trusted 50% ○ ≥80% from verified, high-quality sources [a] DOI 60% ○ ≥80% have a Digital Object Identifier [b] CrossRef 40% ○ ≥80% indexed in CrossRef [i] Indexed 50% ○ ≥80% have metadata indexed [l] Academic 60% ○ ≥80% from journals/conferences/preprints [f] Free Access 90% ✓ ≥80% are freely accessible [r] References 20 refs ✓ Minimum 10 references required [w] Words [REQ] 2,515 ✓ Minimum 2,000 words for a full research article. Current: 2,515 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19229248 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 58% ✗ ≥60% of references from 2025–2026. Current: 58% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code — ○ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (58 × 60%) + Required (3/5 × 30%) + Optional (2/4 × 10%)
Applied Research · Mar 26, 2026 · 13 min read
5 Digital Payment Adoption and Shadow Economy Reduction: Evidence from Ukraine's Diia Platform DOI 6/10 54 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 26% ○ ≥80% from editorially reviewed sources [t] Trusted 58% ○ ≥80% from verified, high-quality sources [a] DOI 37% ○ ≥80% have a Digital Object Identifier [b] CrossRef 26% ○ ≥80% indexed in CrossRef [i] Indexed 42% ○ ≥80% have metadata indexed [l] Academic 58% ○ ≥80% from journals/conferences/preprints [f] Free Access 74% ○ ≥80% are freely accessible [r] References 19 refs ✓ Minimum 10 references required [w] Words [REQ] 2,361 ✓ Minimum 2,000 words for a full research article. Current: 2,361 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19242241 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 47% ✗ ≥60% of references from 2025–2026. Current: 47% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code — ○ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (51 × 60%) + Required (3/5 × 30%) + Optional (2/4 × 10%)
Applied Research · Mar 26, 2026 · 12 min read
6 Regional Disparities in Ukraine's Shadow Economy: An Oblasts-Level Analysis 2015–2025 DOI 6/10 76 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 54% ○ ≥80% from editorially reviewed sources [t] Trusted 85% ✓ ≥80% from verified, high-quality sources [a] DOI 85% ✓ ≥80% have a Digital Object Identifier [b] CrossRef 62% ○ ≥80% indexed in CrossRef [i] Indexed 92% ✓ ≥80% have metadata indexed [l] Academic 85% ✓ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 13 refs ✓ Minimum 10 references required [w] Words [REQ] 2,086 ✓ Minimum 2,000 words for a full research article. Current: 2,086 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19258692 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 10% ✗ ≥60% of references from 2025–2026. Current: 10% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code — ○ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (89 × 60%) + Required (3/5 × 30%) + Optional (2/4 × 10%)
Applied Research · Mar 27, 2026 · 10 min read
7 VAT Gap Estimation for Ukraine: Methodology and Cross-Country Comparison DOI 7/10 50 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 12% ○ ≥80% from editorially reviewed sources [t] Trusted 41% ○ ≥80% from verified, high-quality sources [a] DOI 35% ○ ≥80% have a Digital Object Identifier [b] CrossRef 18% ○ ≥80% indexed in CrossRef [i] Indexed 41% ○ ≥80% have metadata indexed [l] Academic 35% ○ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 17 refs ✓ Minimum 10 references required [w] Words [REQ] 2,469 ✓ Minimum 2,000 words for a full research article. Current: 2,469 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19281632 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 57% ✗ ≥60% of references from 2025–2026. Current: 57% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (41 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Mar 28, 2026 · 12 min read
— Defense Procurement Transparency — Audit Frameworks for Wartime Spending (Draft — in preparation)
— Post-War Tax Reform Blueprint — Designing Ukraine's Next-Generation Fiscal System (Draft — in preparation)
— Humanitarian Aid Diversion — Modeling Leakage Channels and Mitigation Strategies (Draft — in preparation)
— Reconstruction Economics — Preventing Shadow Economy Capture of Rebuilding Funds (Draft — in preparation)
— Real-Time Shadow Economy Indicators — Building a Dashboard from Open Data (Draft — in preparation)
— Blockchain-Based Tax Compliance — Smart Contracts for Automated VAT Collection (Draft — in preparation)
— Neural Network Estimation of Shadow Economy Size — Improving on MIMIC Models (Draft — in preparation)
— Labor Market Informality — Wage Underreporting and Social Insurance Evasion (Draft — in preparation)
8 VAT Gap Estimation for Ukraine \u2014 Methodology and Cross-Country Comparison DOI 4/10 43 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 6% ○ ≥80% from editorially reviewed sources [t] Trusted 50% ○ ≥80% from verified, high-quality sources [a] DOI 13% ○ ≥80% have a Digital Object Identifier [b] CrossRef 6% ○ ≥80% indexed in CrossRef [i] Indexed 13% ○ ≥80% have metadata indexed [l] Academic 19% ○ ≥80% from journals/conferences/preprints [f] Free Access 94% ✓ ≥80% are freely accessible [r] References 16 refs ✓ Minimum 10 references required [w] Words [REQ] 1,259 ✗ Minimum 2,000 words for a full research article. Current: 1,259 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19478897 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 60% ✓ ≥60% of references from 2025–2026. Current: 60% [c] Data Charts 5 ✓ Original data charts from reproducible analysis (min 2). Current: 5 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (29 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 9, 2026 · 6 min read
9 Labor Market Informality — Wage Underreporting and Social Insurance Evasion DOI 2/10 61 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 12% ○ ≥80% from editorially reviewed sources [t] Trusted 80% ✓ ≥80% from verified, high-quality sources [a] DOI 32% ○ ≥80% have a Digital Object Identifier [b] CrossRef 16% ○ ≥80% indexed in CrossRef [i] Indexed 16% ○ ≥80% have metadata indexed [l] Academic 52% ○ ≥80% from journals/conferences/preprints [f] Free Access 84% ✓ ≥80% are freely accessible [r] References 25 refs ✓ Minimum 10 references required [w] Words [REQ] 3,398 ✓ Minimum 2,000 words for a full research article. Current: 3,398 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19482013 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 75% ✓ ≥60% of references from 2025–2026. Current: 75% [c] Data Charts 5 ✓ Original data charts from reproducible analysis (min 2). Current: 5 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (49 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 9, 2026 · 17 min read
10 Estonia's Digital Transformation — Lessons for Ukraine's Shadow Economy Reduction DOI 3/10 48 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 4% ○ ≥80% from editorially reviewed sources [t] Trusted 83% ✓ ≥80% from verified, high-quality sources [a] DOI 9% ○ ≥80% have a Digital Object Identifier [b] CrossRef 4% ○ ≥80% indexed in CrossRef [i] Indexed 4% ○ ≥80% have metadata indexed [l] Academic 22% ○ ≥80% from journals/conferences/preprints [f] Free Access 100% ✓ ≥80% are freely accessible [r] References 23 refs ✓ Minimum 10 references required [w] Words [REQ] 1,891 ✗ Minimum 2,000 words for a full research article. Current: 1,891 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19484648 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 75% ✓ ≥60% of references from 2025–2026. Current: 75% [c] Data Charts 3 ✓ Original data charts from reproducible analysis (min 2). Current: 3 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (37 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 9, 2026 · 9 min read
11 Georgia's Tax Reform Miracle: Flat Tax Impact on Shadow Economy DOI 4/10 42 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 67% ○ ≥80% from verified, high-quality sources [a] DOI 28% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 33% ○ ≥80% from journals/conferences/preprints [f] Free Access 94% ✓ ≥80% are freely accessible [r] References 18 refs ✓ Minimum 10 references required [w] Words [REQ] 1,477 ✗ Minimum 2,000 words for a full research article. Current: 1,477 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19484870 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 31% ✗ ≥60% of references from 2025–2026. Current: 31% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (37 × 60%) + Required (2/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 9, 2026 · 7 min read
12 Poland's Digitalization Strategy in Tax Administration: Impact Assessment of JPK and Split Payment Mechanisms DOI 3/10 42 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 63% ○ ≥80% from verified, high-quality sources [a] DOI 6% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 19% ○ ≥80% from journals/conferences/preprints [f] Free Access 81% ✓ ≥80% are freely accessible [r] References 16 refs ✓ Minimum 10 references required [w] Words [REQ] 1,927 ✗ Minimum 2,000 words for a full research article. Current: 1,927 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19486374 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 67% ✓ ≥60% of references from 2025–2026. Current: 67% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (28 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 9, 2026 · 10 min read
13 Post-Conflict Shadow Economies — Evidence from Bosnia, Croatia, and Kosovo DOI 3/10 45 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 67% ○ ≥80% from verified, high-quality sources [a] DOI 13% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 33% ○ ≥80% from journals/conferences/preprints [f] Free Access 93% ✓ ≥80% are freely accessible [r] References 15 refs ✓ Minimum 10 references required [w] Words [REQ] 1,853 ✗ Minimum 2,000 words for a full research article. Current: 1,853 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19487663 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 67% ✓ ≥60% of references from 2025–2026. Current: 67% [c] Data Charts 3 ✓ Original data charts from reproducible analysis (min 2). Current: 3 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (33 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 9, 2026 · 9 min read
14 EU Accession Conditionality and Shadow Economy Reform — A Systematic Review DOI 2/10 45 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 6% ○ ≥80% from editorially reviewed sources [t] Trusted 59% ○ ≥80% from verified, high-quality sources [a] DOI 12% ○ ≥80% have a Digital Object Identifier [b] CrossRef 6% ○ ≥80% indexed in CrossRef [i] Indexed 6% ○ ≥80% have metadata indexed [l] Academic 35% ○ ≥80% from journals/conferences/preprints [f] Free Access 82% ✓ ≥80% are freely accessible [r] References 17 refs ✓ Minimum 10 references required [w] Words [REQ] 1,486 ✗ Minimum 2,000 words for a full research article. Current: 1,486 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19500718 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 62% ✓ ≥60% of references from 2025–2026. Current: 62% [c] Data Charts 3 ✓ Original data charts from reproducible analysis (min 2). Current: 3 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (33 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 10, 2026 · 7 min read
15 Agent-Based Modeling of Tax Compliance — Simulating Government-Citizen Interactions DOI 4/10 50 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 75% ○ ≥80% from verified, high-quality sources [a] DOI 19% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 56% ○ ≥80% from journals/conferences/preprints [f] Free Access 94% ✓ ≥80% are freely accessible [r] References 16 refs ✓ Minimum 10 references required [w] Words [REQ] 1,944 ✗ Minimum 2,000 words for a full research article. Current: 1,944 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19534434 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 62% ✓ ≥60% of references from 2025–2026. Current: 62% [c] Data Charts 3 ✓ Original data charts from reproducible analysis (min 2). Current: 3 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 2 ✓ Mermaid architecture/flow diagrams. Current: 2 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (41 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 12, 2026 · 10 min read
16 Neural Network Estimation of Shadow Economy Size — Improving on MIMIC Models DOI 3/10 48 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 73% ○ ≥80% from verified, high-quality sources [a] DOI 13% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 53% ○ ≥80% from journals/conferences/preprints [f] Free Access 67% ○ ≥80% are freely accessible [r] References 15 refs ✓ Minimum 10 references required [w] Words [REQ] 2,051 ✓ Minimum 2,000 words for a full research article. Current: 2,051 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19545656 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 30% ✗ ≥60% of references from 2025–2026. Current: 30% [c] Data Charts 3 ✓ Original data charts from reproducible analysis (min 2). Current: 3 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (38 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 12, 2026 · 10 min read
17 Real-Time Shadow Economy Indicators — Building a Dashboard from Open Data DOI 3/10 51 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 5% ○ ≥80% from editorially reviewed sources [t] Trusted 70% ○ ≥80% from verified, high-quality sources [a] DOI 20% ○ ≥80% have a Digital Object Identifier [b] CrossRef 5% ○ ≥80% indexed in CrossRef [i] Indexed 10% ○ ≥80% have metadata indexed [l] Academic 55% ○ ≥80% from journals/conferences/preprints [f] Free Access 90% ✓ ≥80% are freely accessible [r] References 20 refs ✓ Minimum 10 references required [w] Words [REQ] 3 ✗ Minimum 2,000 words for a full research article. Current: 3 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19582647 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 60% ✓ ≥60% of references from 2025–2026. Current: 60% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (42 × 60%) + Required (3/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 14, 2026 · 1 min read
18 Machine Learning for Shadow Economy Detection — Classification of Suspicious Transaction Patterns DOI 5/10 56 s t a b i l f r · w d o p h c g m x Badge Metric Value Status Description [s] Reviewed Sources 0% ○ ≥80% from editorially reviewed sources [t] Trusted 67% ○ ≥80% from verified, high-quality sources [a] DOI 28% ○ ≥80% have a Digital Object Identifier [b] CrossRef 0% ○ ≥80% indexed in CrossRef [i] Indexed 0% ○ ≥80% have metadata indexed [l] Academic 56% ○ ≥80% from journals/conferences/preprints [f] Free Access 89% ✓ ≥80% are freely accessible [r] References 18 refs ✓ Minimum 10 references required [w] Words [REQ] 2,129 ✓ Minimum 2,000 words for a full research article. Current: 2,129 [d] DOI [REQ] ✓ ✓ Zenodo DOI registered for persistent citation. DOI: 10.5281/zenodo.19513733 [o] ORCID [REQ] ✓ ✓ Author ORCID verified for academic identity [p] Peer Reviewed [REQ] — ✗ Peer reviewed by an assigned reviewer [h] Freshness [REQ] 71% ✓ ≥60% of references from 2025–2026. Current: 71% [c] Data Charts 4 ✓ Original data charts from reproducible analysis (min 2). Current: 4 [g] Code ✓ ✓ Source code available on GitHub [m] Diagrams 3 ✓ Mermaid architecture/flow diagrams. Current: 3 [x] Cited by 0 ○ Referenced by 0 other hub article(s)
Score = Ref Trust (41 × 60%) + Required (4/5 × 30%) + Optional (3/4 × 10%)
Applied Research · Apr 24, 2026 · 11 min read
18 published1,858 total views176 min total readingMar 2026 – Apr 2026 published
Contribution Opportunities
Researchers and students wishing to contribute are encouraged to engage in the following directions:
Data collection: Compile and validate time-series data on Ukrainian tax-to-GDP ratios, Diia adoption metrics, and shadow economy estimates from multiple methodological sources.
Comparative cases: Extend the comparative analysis beyond Estonia, Georgia, and Poland to other post-socialist economies with documented digitalization-driven fiscal reforms.
Game-theoretic extensions: Develop richer strategy spaces (continuous or multi-stage games) building on the simplified payoff matrices presented in Paper 2.
Policy engagement: Connect findings to ongoing EU accession working groups and Ukrainian fiscal reform initiatives.
Tool development: Contribute to the Shadow Economy tab in the Geopolitical Risk Intelligence tool on the Stabilarity Research Hub.