Time to completion in the Lagos commercial real estate market: an examination of institutional effects
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
This study explores how institutions affect the process of investment and the time it takes to buy and sell commercial property in Lagos, Nigeria. We isolate institutional factors that impact transaction efficiency and provide a snapshot of the process with average transaction times for the largest commercial real estate market in the most populous country in Africa. This study adopts a qualitative approach and relies on information collected from semi-structured interviews with 36 senior level individuals active in the Lagos commercial real estate market. Among our findings, we note the commercial real estate transaction process is divided into seven distinct stages and the average time to complete an acquisition across all stages (all property types) is 306 days. Title registration/perfection stage takes the longest time (around 132 days) and represents a significant risk to investors. We argue this is a consequence of imperfections in the formal institutions of title registration.
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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 | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| 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 it