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Tax policy and gender equality: the impact of the fiscal system on women and men

2025· article· en· W4407085247 on OpenAlexaboutno aff
Oleg Yakovlevich Madatov

Bibliographic record

VenueНалоги и налогообложение · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicGender, Labor, and Family Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsFiscal policyGender equalityEconomicsTax policyPolitical scienceDemographic economicsPublic economicsMacroeconomicsTax reformSociologyGender studies

Abstract

fetched live from OpenAlex

The author examines the impact of tax policy on gender equality, analyzing the differentiated impact of the fiscal system on women and men through the study of various tax instruments, such as direct and indirect taxes, family taxation mechanisms and the provision of tax benefits. The purpose of the study is to identify specific problems related to the unequal impact of tax instruments and to develop recommendations for improving the fiscal system that ensures equal economic opportunities for all citizens, regardless of gender. The subject of the study is the relationship between tax mechanisms (direct and indirect taxes, family taxation, tax benefits) and the economic status of women and men, as well as the identification of ways to improve the tax system taking into account gender factors. Research methods include economic analysis, comparative legal analysis, and statistical modeling. The author used both quantitative and qualitative methods, such as the analysis of tax statistics, the study of national and international legislation, the analysis of cases and international experience (Germany, France, USA, Canada, etc.), as well as the involvement of scientific publications and expert opinions. The results of the study show that despite the formal gender neutrality of tax legislation, its effects differ for women and men due to gender differences in income, employment, and the distribution of family responsibilities. Joint taxation of spouses, especially with a progressive tax scale, can reduce women's motivation to work due to the effect of the "second income tax". In turn, the separate taxation applied in a number of countries contributes to greater economic independence of women and stimulates their active participation in the economy. The article offers recommendations for improving the tax system, including the transition to separate taxation, the revision of tax benefits taking into account gender aspects, the conduct of a gender audit of the tax system and the introduction of gender-based budgeting. The author concludes that it is necessary to create a fair and efficient tax system that ensures equal opportunities for all citizens without providing unreasonable preferences to one gender.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.554
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.030
GPT teacher head0.338
Teacher spread0.308 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2025
Admission routes1
Has abstractyes

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