Gender, Status, and Tax Offenses
Bibliographic Data
| ID | 2153109 |
|---|---|
| Authors | Bruce Reese (0000-0001-5918-1529, Texas A&M University, corresponding author), Mary K Mcdougal (Texas A&M University) |
| Year | 2018 |
| Volume | 39 |
| Issue | 12 |
| Pages | 1647-1657 |
| Publication date | 2018-12-02 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | Deviant Behavior (JOURNAL) |
| Journal identifiers | ISSN: 0163-9625 • E-ISSN: 1521-0456 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/01639625.2017.1410628 |
| OpenAlex | W2775667624 |
| Language | DE |
| Citations received | 4 |
| References cited | 15 |
Current literature on tax evasion finds that compared to women, men are more likely to engage in tax evasion. This study examines how expectation states theory helps explain this gender difference by investigating the relationship between status and compliance to authority using a secondary analysis of ICPSR data on the Monitoring of Federal Criminal Sentences. We hypothesize that the effect of gender on the odds of being convicted for a tax offense compared to any other white collar crime will decrease when controlling for other diffuse status characteristics. Results from a series of multivariate regression models support this hypothesis
Criminology · Demographic economics · Economics · Logistic regression · Odds · Political science · Public economics · Statistics · Tax Evasion · Crime Patterns and Interventions · Criminal Justice and Corrections Analysis · Mathematics · Psychology · Social Psychology · Taxation and Compliance Studies
White Collar Crime
Gender and Formal Authority
Possible causes of tax evasion
Correlates of tax evasion
Conformity, status, and idiosyncrasy credit
Collaring the Crime, not the Criminal
A Laboratory Experiment on Bureaucratic Authority
Structural Social Psychology and the Micro-Macro Problem
Convenience in White-Collar Crime
Reasons for Gaps in Crime Reporting
Barriers and Back Regions as Opportunity Structures for White-Collar Crime
| Unique citing works | 4 |
|---|---|
| Citations per year | 0,67 |
| Citation span | 2020 - 2022 (3) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 4 |