The Influence of Interest Rates on Rental Rate in the United States Islamic Home Financing
Bibliographic record
Abstract
The purpose of this paper is to investigate, whether the rental rate is free from the influence of interest rates on Islamic home financing. The study considers some selected macroeconomic variables to analyze the influence of interest rates on the rental rate. The study focuses on the United States data covering from the first quarter of 1990 to the last quarter of 2016. The study adopts Autoregressive distributed lags (ARDL) model to analyze the long-run and short-run relationships between the rental rate and the macroeconomic variables. The study finds consistent evidence that rental rate is free from the influence of short term and long term interest rates in both long-run equilibrium and short-run dynamic results in the United States Islamic home financing. Hence, the rental rate could be accepted as an alternative to interest rates in Islamic home financing. The result contributes towards finding that the rental rate is free from the influence of interest rate in Islamic home financing. To the best of the author’s knowledge, the present study is the first of its kind which empirically investigates the influence of interest rates on the rental rate in Islamic home financing.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".