iLVM: Mass Appraisal in BayBay City, Philippines (Bencure et al.)

Summary

Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP, by Jannet C. Bencure, Nitin Kumar Tripathi, Hiroyuki Miyazaki, Sarawut Ninsawat and Sohee Minsun Kim (Asian Institute of Technology), was published open-access in Sustainability (MDPI), Vol. 11, Issue 13, article 3731 (2019).[1] It is the single developing-country mass-appraisal case Lars Doucet cites in Does Georgism Work? Part 3, and therefore carries distinct evidentiary weight: most of the assessment literature the essay reviews (Berlin, Australia, the US) comes from data-rich, high-capacity jurisdictions.

The paper's problem statement is the thin-data setting that critics of LVT invoke: in fast-growing sub-urban areas, "the non-availability of sufficient reliable market values forces valuers to use alternatives and subjective judgement."[1] Its answer is not more regression but a structured expert-weighting method — the analytic hierarchy process (AHP) — that folds physical, social, economic, environmental and legal factors into the valuation.

Key Findings

Verified against the open-access article (abstract and Results):[1]

• Method. The iLVM has "experts… involved in the selection and weighing of 15 factors through the AHP," combining expert consultation, legal review and documentary evidence rather than relying on transaction regressions alone.[1]
• Case and validation. "The model was validated using root mean squared error (RMSE) and compared with multiple regression analysis (MRA) through a case study in Baybay City, Philippines. Based on the results, the iLVM (RMSE = 0.526) outperformed MRA (RMSE = 1.953)."[1]
• The ~67% figure Doucet relays. The paper reports that the iLVM's "statistics summary… low RMSE, Adj.R² = 0.673 and zero average residuals, indicates good fits without bias, and that around 67% of the variability is explained in the model."[1] This is the "~67% of variance" number Doucet cites.
• Honest limits in the paper itself. The authors note "large residuals (e >|1.0|) are noticeable, causing the predicted value to be under or over predicted," and place iLVM's fit alongside other methods reported in the literature (e.g., MRA Adj.R² ≈ 0.80, geographically weighted regression Adj.R² ≈ 0.541).[1]

What It Supports

• Assessment is feasible outside rich jurisdictions. On the land-cannot-be-assessed objection, Bencure et al. answer the sharpest version — "this only works where there is comprehensive sales data" — by getting a serviceable land-value model in a Philippine sub-urban market precisely by substituting structured expert weighting for missing transactions.
• A distinct branch of the mass-appraisal toolkit. iLVM/AHP sits in the "expert-weighted" family (alongside Aragonés-Beltrán's AHP work) rather than the pure-statistical family (hedonic MRA, kernel, semiparametric). It is a reminder that mass appraisal is a spectrum of methods matched to data availability, not a single regression recipe.

What It Cuts Against / Limits

• Explains ~67%, not near-parity with expert maps. An Adj.R² of 0.673 is modest; the paper is candid about sizable individual-parcel residuals. This is weaker evidence than the Berlin study's ~0.845 correlation and should not be over-read — it establishes feasibility in a thin-data setting, not high precision.
• Expert-dependent. AHP weights are elicited from experts, so the method transfers subjectivity from the assessor's residual judgment into the factor-weighting stage rather than eliminating it; reproducibility depends on the expert panel.
• Single small city. Baybay City is one sub-urban case; generalization to other developing-country contexts is asserted, not demonstrated.

Sources

1. Jannet C. Bencure, Nitin Kumar Tripathi, Hiroyuki Miyazaki, Sarawut Ninsawat & Sohee Minsun Kim (2019), "Development of an Innovative Land Valuation Model (iLVM) for Mass Appraisal Application in Sub-Urban Areas Using AHP: An Integration of Theoretical and Practical Approaches," Sustainability, 11(13):3731, DOI 10.3390/su11133731 · open-access HTML — used for the AHP/15-factor iLVM method, the Baybay City case, the iLVM RMSE = 0.526 vs MRA RMSE = 1.953 comparison, and the Adj.R² = 0.673 / "around 67% of the variability is explained" figure that Doucet relays. Quotes verified verbatim (2026-07-11; page fetched via the Internet Archive after a live 403). Correction to note: the essay-ledger label "Land journal" is inaccurate — the paper appears in MDPI's Sustainability, not Land. Both are open-access MDPI titles.

See Also

• Doucet, Does Georgism Work? — Part 3, where iLVM is the developing-country case
• Mass Appraisal Methods — the AHP/expert-weighted family
• Objection: Land value can't be assessed accurately
• Kolbe et al.: Berlin land-value appraisal — the data-rich contrast case
• Almy, Valuation and Assessment of Immovable Property (OECD) — the international-capacity caveat