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W. Craytor

6 papers indexed here

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Open access Oct 2026

Parameter Identification

A parameter is identified when it is uniquely determined by the distribution of observable data given the model's assumptions. Identification is logically prior to estimation and asks a different question: not what the best guess from this sample is, but whether the entire population would pin the parameter down at all...

W. Craytor · 0 citations
Review Open access Oct 2026

Toward Valuation Engineering Protocols

Professional valuation standards set out ethical obligations, scope of work, recognized approaches and reporting requirements, but give little guidance on how quantitative procedures should be designed, tested and validated. This article introduces Valuation Engineering Protocols, the technical layer the Journal intend...

W. Craytor · 0 citations
Open access Oct 2026

Comparison of International Valuation Standards

Valuation practice is governed by professional standards, statutory requirements, assignment-specific rules, financial reporting requirements, and established methodologies. Real estate valuation in the United States is fragmented and lacks a single comprehensive layer of practice standards comparable to the RICS Red B...

W. Craytor · 1 citation
Open access Oct 2026

Appraisal for Lending: A Comparative Annex

The first thematic annex of Recent Court Decisions treats appraisal for lending: the valuer's own liability, independence from loan production, and market against forced-sale value at realization. Bratt v Jones [2025] EWCA Civ 562 restates the English two-stage test - a figure outside a 10-15 percent bracket of the cor...

W. Craytor · 0 citations
Review Open access Oct 2026

Overview

The second issue of *Foundations* carries eight entries in two movements. The first movement takes up the statistical concepts that the inaugural issue used without naming, beginning from the loose end it left: a hedonic regression that missed one of eight Pacifica comparables by $46,455. Four entries form a chain, eac...

W. Craytor · 0 citations
Open access Oct 2026

Endogeneity

Endogeneity is the condition in which a regressor is correlated with a model's error term, so that its coefficient does not recover the causal effect of interest. This entry generalizes the omitted-variable case of entry 008, presenting omitted variables, simultaneity, selection, and measurement error as four mechanism...

W. Craytor · 0 citations

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