Agent-based modeling of tax evasion : theoretical apects and computational simulations / edited by Sascha Hokamp (Universität Hamburg), László Gulyás (Eötvös Loránd University), Matthew Koehler (The MITRE Corporation), Sanith Wijesinghe (The MITRE Corporation).

Format:

Book

Contributor:

Hokamp, Sascha, editor.

Gulyás, László, 1928-1995, editor.

Koehler, Matthew, editor.

Wijesinghe, Sanith, editor.

Series:

Wiley series in computational and quantitative social science

Language:

English

Subjects (All):

Tax evasion--Computer simulation.

Tax evasion.

Tax evasion--Data processing.

Computer simulation.

Physical Description:

xxviii, 342 pages : illustrations ; 24 cm.

Place of Publication:

Hoboken, NJ : John Wiley & Sons Ltd, 2018.

Contents:

Part 1 Introduction

1 Agent-Based Modeling and Tax Evasion: Theory and Application / Sascha Hokamp Hokamp, Sascha, László Gulyás Gulyás, László, Matthew Koehler Koehler, Matthew, H. Sanith Wijesinghe Wijesinghe, H. Sanith 3

1.1 Introduction 3

1.2 Tax Evasion, Tax Avoidance and Tax Noncompliance 4

1.3 Standard Theories of Tax Evasion 5

1.4 Agent-Based Models 10

1.5 Standard Protocols to Describe Agent-Based Models 11

1.5.1 The Overview, Design Concepts, Details, and Decision-Making Protocol 13

1.5.2 Concluding Remarks on the ODD+D Protocol 17

1.6 Literature Review of Agent-Based Tax Evasion Models 18

1.6.1 Public Goods, Governmental Tasks and Back Auditing 22

1.6.2 Replication, Docking, and Calibration Studies 25

1.6.3 Concluding Remarks on Agent-Based Tax Evasion Models 26

1.7 Outlook: The Structure and Presentation of the Book 27

1.7.1 Part I Introduction 28

1.7.2 Part II Agent-Based Tax Evasion Models 28

References 31

2 How Should One Study Clandestine Activities: Crimes, Tax Fraud, and Other "Dark" Economic Behavior? / Aloys L. Prinz Prinz, Aloys L. 37

2.1 Introduction 37

2.2 Why Study Clandestine Behavior At All? 38

2.3 Tools for Studying Clandestine Activities 40

2.4 Networks and the Complexity of Clandestine Interactions 42

2.5 Layers of Analysis 45

2.6 Research Tools and Clandestine Activities 48

2.7 Conclusion 55

Acknowledgment 56

References 56

3 Taxpayer's Behavior: From the Laboratory to Agent-Based Simulations / Luigi Mittone Mittone, Luigi, Viola L. Saredi Saredi, Viola L. 59

3.1 Tax Compliance: Theory and Evidence 59

3.2 Research on Tax Compliance: A Methodological Analysis 62

3.3 From Human-Subject to Computational-Agent Experiments 68

3.4 An Agent-Based Approach to Taxpayers' Behavior 73

3.4.1 The Macroeconomic Approach 74

3.4.2 The Microeconomic Approach 77

3.4.3 Micro-Level Dynamics for Macro-Level Interactions among Behavioral Types 80

3.5 Conclusions 83

References 84

Part II Agent-Based Tax Evasion Models

4 Using Agent-Based Modeling to Analyze Tax Compliance and Auditing / Nigar Hashimzade Hashimzade, Nigar, Gureth Myles Myles, Gureth 91

4.1 Introduction 91

4.2 Agent-Based Model for Tax Compliance and Audit Research 93

4.2.1 Overview 93

4.2.2 Design Concepts 94

4.2.3 Details 98

4.3 Modeling Individual Compliance 98

4.3.1 Expected Utility 98

4.3.2 Behavioral Models 101

4.3.3 Psychic Costs and Social Customs 102

4.4 Risk-Taking and Income Distribution 106

4.5 Attitudes, Beliefs, and Network Effects 111

4.5.1 Networks and Meetings 113

4.5.2 Formation of Beliefs 113

4.6 Equilibrium with Random and Targeted Audits 115

4.7 Conclusions 119

Acknowledgments 122

References 122

Appendix 4A 123

5 SIMULFIS: A Simulation Tool to Explore Tax Compliance Behavior / Toni Llacer Llacer, Toni, Francisco J. Miguel Quesada Quesada, Francisco J. Miguel, José A. Noguera Noguera, José A., Eduardo Tapia Tejuda Tejuda, Eduardo Tapia 125

5.1 Introduction 125

5.2 Model Description 126

5.2.1 Purpose 127

5.2.2 Entities, Stale Variables, and Scales 127

5.2.3 Process Overview and Scheduling 131

5.2.4 Theoretical and Empirical Background 131

5.2.5 Individual Decision Making 132

5.2.6 Learning 135

5.2.7 Individual Sensing 136

5.2.8 Individual Prediction 136

5.2.9 Interaction 137

5.2.10 Collectives 137

5.2.11 Heterogeneity 138

5.2.12 Stochasticity 138

5.2.13 Observation 139

5.2.14 Implementation Details 140

5.2.15 Initialization 140

5.2.16 Input Data 141

5.2.17 Submodels 141

5.3 Some Experimental Results and Conclusions 145

Acknowledgments 148

References 148

6 TAXSIM: A Generative Model to Study the Emerging Levels of Tax Compliance in a Single Market Sector / László Gulyás Gulyás, László, Tamás Máhr Máhr, Tamás, István J. Tóth Tóth, István J. 153

6.1 Introduction 153

6.2 Model Description 155

6.2.1 Overview 155

6.2.2 Design Concepts 165

6.2.3 Observation and Emergence 172

6.2.4 Details 173

6.3 Results 175

6.3.1 Scenarios 175

6.3.2 Sensitivity Analysis 182

6.3.3 Adaptive Audit Strategy 190

6.3.4 Minimum. Wage Policies 192

6.4 Conclusions 194

Acknowledgments 196

References 196

7 Development and Calibration of a Large-Scale Agent-Based Model of Individual Tax Reporting Compliance / Kim M. Bloomquist Bloomquist, Kim M. 199

7.1 Introduction 199

7.1.1 Taxpayer Dataset 201

7.1.2 Agents 202

7.1.3 Tax Agency 204

7.1.4 Taxpayer Reporting Behavior 207

7.1.5 Filer Behavioral Response to Tax Audit 209

7.1.6 Model Execution 210

7.2 Model Validation and Calibration 211

7.3 Hypothetical Simulation: Size of the "Gig" Economy and Taxpayer Compliance 214

7.4 Conclusion and Future Research 216

Acknowledgments 216

References 217

Appendix 7A: Overview, Design Concepts, and Details (ODD) 218

7A.1 Purpose 218

7A.2 Entities, State Variables, and Scales 218

7A.3 Process Overview and Scheduling 219

7A.4 Design Concepts 219

7A.4.1 Basic Principles 219

7A.4.2 Emergence 220

7A.4.3 Adaptation 220

7A.4.4 Objectives 220

7A.4.5 Learning 220

7A.4.6 Prediction 221

7A.4.7 Sensing 221

7A.4.8 Interaction 221

7A.4.9 Stochasticity 221

7A.4.10 Collectives 222

7A.4.11 Observation 222

7A.5 Initialization

7A.6 Input Data 223

7A.7 Submodels 224

8 Investigating the Effects of Network Structures in Massive Agent-Based Models of Tax Evasion / Matthew Koehler Koehler, Matthew, Shaun Michel Michel, Shaun, David Slater Slater, David, Christine Harvey Harvey, Christine, Amanda Andrei Andrei, Amanda, Kevin Comer Comer, Kevin 225

8.1 Introduction 225

8.2 Networks and Scale 226

8.3 The Model 230

8.3.1 Overview 230

8.3.2 Design Concepts 232

8.3.3 Details 237

8.4 The Experiment 241

8.5 Results 241

8.5.1 Impact of Scale 243

8.5.2 Distributing the Model on a Cluster Computer 246

8.6 Conclusion 251

References 251

9 Agent-Based Simulations of Tax Evasion: Dynamics by Lapse of Time, Social Norms, Age Heterogeneity, Subjective Audit Probability, Public Goods Provision, and Pareto-Optimality / Sascha Hokamp Hokamp, Sascha, Andrés M. Cuervo Díaz Díaz, Andrés M. Cuervo 255

9.1 Introduction 255

9.2 The Agent-Based Tax Evasion Model 257

9.2.1 Overview of the Model 257

9.2.2 Design Concepts 264

9.2.3 Details 268

9.3 Scenarios, Simulation Results, and Discussion 269

9.3.1 Age Heterogeneity and Social Norm Updating 269

9.3.2 Public Goods Provision and Pareto-optimality 274

9.3.3 The Allingham-and-Sandmo Approach Reconsidered 277

9.3.4 Calibration and Sensitivity Analysis 281

9.4 Conclusions and Outlook 284

Acknowledgments 285

References 285

Appendix 9A 287

10 Modeling the Co-evolution of Tax Shelters and Audit Priorities / Jacob Rosen Rosen, Jacob, Geoffrey Warner Warner, Geoffrey, Erik Hemberg Hemberg, Erik, H. Sanith Wijesinghe Wijesinghe, H. Sanith, Una-May O'Reilly O'Reilly, Una-May 289

10.1 Introduction 289

10.2 Overview 291

10.3 Design Concepts 293

10.3.1 Simulation 294

10.3.2 Optimization 297

10.4 Details 299

10.4.1 IBOB 299

10.4.2 Grammar 302

10.4.3 Parameters 304

10.5 Experiments 305

10.5.1 Experiment LimitedAudit: Audit Observables That Do Not Detect IBOB 305

10.5.2 Experiment EffectiveAudit: Audit Observables That Can Detect IBOB 308

10.5.3 Experiment CoEvolution: Sustained Oscillatory Dynamics Of Fitness Values 308

10.6 Discussion 311

References 314

11 From Spins to Agents: An Econophysics Approach to Tax Evasion / Götz Seibold Seibold, Götz 315

11.1 Introduction 315

11.2 The Ising Model 316

11.2.1 Purpose 316

11.2.2 Entities, State Variables, and Scales 316

11.2.3 Process Overview and Scheduling 318

11.3 Application to Tax Evasion 320

11.4 Heterogeneous Agents 324

11.5 Relation to Binary Choice Model 330

11.6 Summary and Outlook 333

References 334.

Notes:

Includes bibliographical references and index.

ISBN:

9781119155683

1119155681

OCLC:

1030281082