¿Pueden considerarse significativas las reformas fiscales de México? // Can the Tax Reforms in Mexico be Considered Significant?
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Se establece como objetivo general, analizar la significancia estadística de cambios en la recaudación del Impuesto Sobre la Renta (ISR) y del Impuesto al Valor Agregado (IVA), a partir del año 2000 y hasta el segundo trimestre del 2015, para afirmar o no la variación en la recaudación. Para lograrlo se aplican métodos clásicos con valor crítico significante a 0,05 de alfa, pero complementándolo parámetro delta para establecer el nivel de cambio en poco significante, medianamente significante o de gran significancia. En las conclusiones se deja antecedente que a pesar de lo que parecieran como impactantes cambios en materia fiscal que pudieron haber incidido positiva o negativamente en el pago del ISR e IVA, tales como el acotamiento del régimen de consolidación fiscal, gravámenes complementarios, hasta llegar a la homologación del IVA a tasa 16% para todo el país, en la mayoría de los casos, no se obtuvo evidencia para argumentar eficiencia en la recaudación nacional.------------------------------------It is the purpose of this work to analyze the significance of changes in average for the collection of value-added (VAT) and income taxes from year 2000 and up to the second quarter of 2015. To accomplish that, classic methods of significance will be applied, but contrasted with tests for the typified difference of the average, fundamental parameters of the meta-analysis Cohen's Delta. The main conclusions are that although there have been relevant changes in the tax collection process such as limits in the tax consolidation regime, complementary taxes e.g., flat rate business tax, substitute tax credit to wages, tax on cash deposits and the standardization of the VAT to 16%, there is no strong evidence to state an efficient national tax collection system.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it