The Amenity Paradox (Housing Econometrics)
31-page econometric working paper testing amenity loading against realized pricing in Mumbai residential developments
Context & Core Problem
Do residential property buyers in Mumbai pay a rational price premium proportionate to the volume and luxury of amenities promised by real estate developers, or has amenity loading decoupled from realized market value into a value-destroying signalling trap?
Architectural Approach & Decisions
Authored a 31-page academic paper ('Measurement Before Estimation') affiliated with VJTI Mumbai. Built the Mumbai Amenity Atlas (v3) across residential developments. Engineered a custom Python classification script to standardize unstructured marketing descriptions into an objective taxonomy. Formulated and tested 10 econometric hypotheses across sampled zones.
Verifiable Evidence & Observable Outcomes
Conducted pilot analysis across 19 residential projects (17 estimable) with 14 analytical exhibits from VJTI academic working paper ('Measurement Before Estimation', Mumbai Amenity Atlas v3). Every statistical claim was independently re-derived and audited for reproducibility.
Empirical Result
Reported an honest null result: 0 of 10 hypotheses supported. Proved that amenity volume correlates with developer competitive signalling against adjacent towers rather than with measurable price premiums paid by end buyers.
System Architecture & Data Flow
Taxonomy Script
Python script parsing unstructured amenity descriptions
Amenity Atlas
Structured residential database across sampled micro-markets
Hypothesis Testing
Econometric regression testing pricing power vs amenity loading
Null Reporting
Honest null result publication with full reproducibility bundle
Technical Architecture Specifications
Transparent Limitations & Governance Boundaries
Pilot sample bounded to 19 projects; follow-on study designed for 147 projects and 810 households to validate broader metropolitan generalizability. Author credit carries Meet Soni and VJTI affiliation.