Distribution Impact of the Mortgage Interest Deduction in the Czech Republic
Bibliographic record
Abstract
This paper focuses on the mortgage interest deduction for owner-occupied housing in the Czech Republic. The main research question concerns the distribution of personal income tax liability given the rather generous interest deduction for owner-occupied housing loans and changes to it when restrictions are placed on the interest deduction in 2014. We used data for the Czech Republic from the EU-SILC surveys for our analysis. We estimated the value of this tax expenditure at approximately CZK 4.1 billion in 2011, with more than half the amount spent by the highest two deciles in income distribution. Personal income tax reform is legislated to begin in 2015 one part of which will be a cap on loan interest. This reform will lead to a decrease in the yearly value of the tax expenditure but will be followed by an increase in the PIT rate. Taken together, this will generate greater tax expenditures. Our computations show that the impact will be negative on households in the highest decile, while other groups will feel some benefit.
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How this classification was reachedexpand
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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".