% Author: Simon-Pierre Boucher — contact@spboucher.ai % ============================================================================ \section{Related literature} \label{sec:lit} \subsection{Measuring vertical inequity: from ratio studies to modern tests} The empirical study of assessment equity is nearly as old as the modern property tax. Its workhorse is the \emph{sales ratio study}: for each sale $i$, compute the ratio $r_i = AV_i/SP_i$ of assessed value to sale price and ask whether $r_i$ is uniform across the value distribution. The practitioner's canon --- codified in the IAAO \textit{Standard on Ratio Studies} \citep{iaao2013standard} and the mass-appraisal manuals of \citet{eckert1990property} and \citet{gloudemans2011fundamentals} --- summarizes a jurisdiction with the median ratio, the coefficient of dispersion (COD) for horizontal uniformity, and the price-related differential (PRD) or, since 2013, the coefficient of price-related bias (PRB) for vertical equity. These diagnostics discipline assessment practice across North America, and we report all of them, with bootstrap confidence intervals, for every Quebec municipality with sufficient sales. The academic literature grew out of dissatisfaction with those summary measures. \citet{paglin1972equity} proposed regressing assessed value on sale price in levels and reading regressivity off a positive intercept; \citet{cheng1974property} moved the test to logarithms, where the slope $\beta$ has the clean interpretation of an elasticity and $\beta<1$ signals regressivity. Subsequent work refined the specification menu --- \citet{bell1984administrative} and \citet{sunderman1990testing} allowed splines and structural breaks, and \citet{sirmans1995vertical} surveyed the proliferating test battery. A decisive critique came from \citet{kochin1982vertical} and \citet{kennedy1984unfair}: because the sale price is itself a noisy measure of market value, the log-log slope is attenuated toward zero even under perfectly proportional assessment --- ratio studies are biased \emph{toward} finding regressivity. \citet{clapp1990new} answered with a rank-based instrumental-variables estimator whose coarse instrument is nearly orthogonal to transitory price noise; \citet{goolsby1997assessment} and \citet{mcmillen2020assessment} document how severely the correction can matter, and \citet{quintos2020prb} extends the toolkit with machine-learning diagnostics. Our design follows this lesson to the letter: we report the na\"ive estimates, the Clapp IV, and quantile profiles \citep{mcmillen2020assessment} side by side, and treat the IV as the lower bound on true regressivity. \subsection{Evidence: pervasive regressivity, mostly documented in the U.S.} Substantively, the modern consensus is that assessment regressivity is the rule rather than the exception. \citet{berry2021reassessing} computes ratio statistics for essentially every U.S. county and finds that the lowest-decile home within a jurisdiction faces an effective tax rate roughly double that of the top decile; \citet{avenancio2022assessment} show in the \textit{QJE} that the same machinery generates a 10--13\% assessment gap against Black and Hispanic homeowners, driven partly by unpriced neighbourhood attributes and partly by differential appeals; \citet{amornsiripanitch2022residential} attributes much of the gradient to assessors' inability to capture unobserved quality that scales with price. Earlier strands documented the same pattern city by city --- \citet{engle1975deassessment} in Boston, \citet{baar1981property} across low-income neighbourhoods, \citet{mcmillen2011assessment} and \citet{mcmillen2008thin} in Illinois, where thin markets and infrequent reassessment emerge as structural drivers, \citet{hodge2017assessment} in collapsing Detroit, and \citet{plummer2014evidence} and \citet{ihlanfeldt2023appraisal} on the role of appeals and exemptions. \citet{ross2012assessor} shows regressivity responds to the institutional incentives of assessors themselves. The mechanism menu that emerges --- stale valuations, hard-to-value heterogeneous properties, thin markets, asymmetric appeals --- guides our heterogeneity analysis directly. \subsection{Canada: a conspicuous gap} For Canada the cupboard is nearly bare. Ontario's assessment corporation publishes an internal vertical-equity review of its own values \citep{mpac2022vertical}, and \citet{found2017property} compare tax \emph{rates} across cities, but neither measures sale-level equity. For Quebec, \citet{carbonnier2024property} establishes with survey microdata that property tax payments are steeply regressive relative to \emph{income}; the assessment channel --- whether the tax base itself is mismeasured against \emph{market value} --- has never been examined at scale, for Quebec or for any Canadian province. This is the gap the present paper fills. The Canadian case is of independent interest precisely because its institutions differ from the fragmented U.S. county system on the dimensions the U.S. literature blames: Quebec assessment is governed by a uniform provincial statute and manual \citep{lfm2026, mamh2024manuel}, performed by certified professional evaluators, and synchronized to a statutory market-condition date. Finding large regressivity \emph{despite} this apparatus sharpens the interpretation considerably: the problem is not lax governance but the intrinsic difficulty of mass appraisal, compounded by triennial staleness. \subsection{Hedonic foundations} Finally, the paper connects to the hedonic tradition. Mass appraisal is applied hedonics \citep{rosen1974hedonic, malpezzi2003hedonic}: the assessor's model prices a bundle of structural and locational attributes, and equity failures are hedonic specification failures --- unpriced land-share gradients \citep{bostic2007land}, depreciation curvature, or neighbourhood effects that Quebec practitioners have long modelled in the Quebec City market \citep{desrosiers2000hedonic}. Reading our subgroup estimates through this lens turns an audit into a diagnosis: the assessment gap is largest exactly where the hedonic problem is hardest.