harmonisation standard UQO WP (2026-10-17)

Page titre canonique, hyperref pdftitle/pdfauthor, mots-clés normalisés,
.gitignore du gabarit, README : Status + Notes, courriel uqo.ca.

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>

Simon-Pierre Boucher committed 22 days ago (Oct 17, 2026) parent 16670be Browse files

7 changed files +213 −45

modified .gitignore +14 −1

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1	−# Raw & processed data — transaction microdata are NOT redistributed	1	+# Raw data snapshot — 100 MB parquet (transaction microdata), not redistributed (see data/raw/README.md)
2	data/raw/*.parquet	2	data/raw/*.parquet
3	data/raw/*.csv	3	data/raw/*.csv
4	data/processed/*.parquet	4	data/processed/*.parquet
				`@@ -6,16 +6,29 @@ data/processed/*.parquet`
6	# Python	6	# Python
7	__pycache__/	7	__pycache__/
8	*.pyc	8	*.pyc
		9	+.pytest_cache/
		10	+.venv/
		11	+*.egg-info/
9		12
10	# LaTeX build artifacts (paper/main.pdf IS committed)	13	# LaTeX build artifacts (paper/main.pdf IS committed)
11	paper/*.aux	14	paper/*.aux
12	paper/*.log	15	paper/*.log
13	paper/*.out	16	paper/*.out
		17	+paper/*.toc
		18	+paper/*.lof
		19	+paper/*.lot
14	paper/*.fls	20	paper/*.fls
15	paper/*.fdb_latexmk	21	paper/*.fdb_latexmk
16	paper/*.bbl	22	paper/*.bbl
17	paper/*.blg	23	paper/*.blg
		24	+paper/*.spl
18	paper/*.synctex.gz	25	paper/*.synctex.gz
		26	+paper/*.run.xml
		27	+paper/*.bcf
		28	+
		29	+# Logs
		30	+logs/
		31	+*.log
19		32
20	# macOS	33	# macOS
21	.DS_Store	34	.DS_Store

modified README.md +177 −31

				`@@ -1,4 +1,4 @@`
1	−<!-- Author: Simon-Pierre Boucher — contact@spboucher.ai -->	1	+<!-- Author: Simon-Pierre Boucher — simon-pierre.boucher@uqo.ca -->
2	# 🏇 Half a Million Prices, Twenty Models	2	# 🏇 Half a Million Prices, Twenty Models
3		3
4	UQO Working Paper No. 11 — *A Systematic Assessment of Hedonic Specifications	4	UQO Working Paper No. 11 — *A Systematic Assessment of Hedonic Specifications
				`@@ -6,28 +6,59 @@ and Estimation Methods for the Quebec Housing Market, 2021–2026*`
6		6
7	[![Paper](https://img.shields.io/badge/paper-PDF%20(23%20p.)-b31b1b?logo=latex&logoColor=white)](paper/main.pdf)	7	[![Paper](https://img.shields.io/badge/paper-PDF%20(23%20p.)-b31b1b?logo=latex&logoColor=white)](paper/main.pdf)
8	[![Python](https://img.shields.io/badge/python-3.11%2B-3776AB?logo=python&logoColor=white)](requirements.txt)	8	[![Python](https://img.shields.io/badge/python-3.11%2B-3776AB?logo=python&logoColor=white)](requirements.txt)
9	−[![Data](https://img.shields.io/badge/data-514%2C212%20sales%20·%20roll--matched-4051b5)](data/raw/README.md)	9	+[![Data](https://img.shields.io/badge/data-514%2C212%20sales%20·%20roll--matched%20parquet-4051b5)](data/raw/README.md)
10	[![Models](https://img.shields.io/badge/models-20%20·%204%20design%20axes-4051b5)](src/wp11/models.py)	10	[![Models](https://img.shields.io/badge/models-20%20·%204%20design%20axes-4051b5)](src/wp11/models.py)
11	[![Reproducible](https://img.shields.io/badge/reproducible-end--to--end%20pipeline-2e7d32)](scripts/)	11	[![Reproducible](https://img.shields.io/badge/reproducible-end--to--end%20pipeline-2e7d32)](scripts/)
12	[![Institution](https://img.shields.io/badge/UQO-D%C3%A9pt.%20des%20sciences%20administratives-16365c)](https://uqo.ca)	12	[![Institution](https://img.shields.io/badge/UQO-D%C3%A9pt.%20des%20sciences%20administratives-16365c)](https://uqo.ca)
13	−[![Author](https://img.shields.io/badge/author-Simon--Pierre%20Boucher-16365c)](mailto:contact@spboucher.ai)	13	+[![Author](https://img.shields.io/badge/author-Simon--Pierre%20Boucher-16365c)](mailto:simon-pierre.boucher@uqo.ca)
14	−[![Contact](https://img.shields.io/badge/contact-contact%40spboucher.ai-a02020?logo=maildotru&logoColor=white)](mailto:contact@spboucher.ai)
15		14
16	> TL;DR — A controlled horse race of 20 hedonic models on 514,212 Quebec sales	15	> TL;DR — A controlled horse race of 20 hedonic models on 514,212 Quebec sales
17	−> with assessor-grade structural attributes: 6 functional forms × time-FE ladder ×	16	+> (2021–2026) with assessor-grade structural attributes: 6 functional forms × a time-FE
18	−> spatial-FE ladder × 6 estimation methods, all scored on the **same price-level	17	+> ladder × a spatial-FE ladder × 6 estimation methods, all scored on the **same
19	−> scoreboard (Duan smearing / Box–Cox inversion) under two holdouts** (random 80/20	18	+> price-level scoreboard (Duan smearing / Box–Cox inversion) under two holdouts**
20	−> and forward-in-time). Functional form is second-order (±2 pp of MdAPE); spatial	19	+> (random 80/20 and forward-in-time). Functional form is second-order (±2 pp of MdAPE);
21	−> controls are first-order (~10 pp) but overfit at ~1 km granularity; **gradient	20	+> spatial controls are first-order (~10 pp) but overfit at ~1 km granularity; **gradient
22	−> boosting wins under random validation** (MdAPE ≈ 14.4% vs 16.5% for the best linear	21	+> boosting wins under random validation** (MdAPE 14.4% vs 16.5% for the best linear
23	> model) — but under the forward-in-time split every model degrades and the ML	22	> model) — but under the forward-in-time split every model degrades and the ML
24	> advantage reverses (splines 19.1% vs boosting 21.2%, identical R²_ln): random	23	> advantage reverses (splines 19.1% vs boosting 21.2%, identical R²_ln): random
25	−> cross-validation is the wrong experiment for valuation models. Implied price indices	24	+> cross-validation is the wrong experiment for valuation models.
26	−> and implicit-price profiles agree across forms far more than the accuracy gap suggests.
27		25
28	---	26	---
29		27
30	−## 🎯 The four design axes	28	+## 📌 Status
		29	+
		30	+\| Item \| Value \|
		31	+\|---\|---\|
		32	+\| Version \| 1.0 (August 2026) \|
		33	+\| SSRN \| [7626698](https://ssrn.com/abstract=7626698) — submitted 2026-10-17 (preliminary upload) \|
		34	+\| Journal \| not yet submitted \|
		35	+\| Code & data \| reproducible from `scripts/` (see Quick start); raw parquet snapshot not redistributed \|
		36	+
		37	+## 📖 Table of contents
		38	+
		39	+0. [Status](#-status)
		40	+1. [What this paper does](#-what-this-paper-does)
		41	+2. [Headline results](#-headline-results)
		42	+3. [Repository layout](#-repository-layout)
		43	+4. [Quick start](#-quick-start)
		44	+5. [The pipeline, step by step](#-the-pipeline-step-by-step)
		45	+6. [Data](#-data)
		46	+7. [Methodology](#-methodology)
		47	+8. [Figures & tables inventory](#-figures--tables-inventory)
		48	+9. [Limitations](#-limitations)
		49	+10. [Citation](#-citation)
		50	+11. [Author & contact](#-author--contact)
		51	+12. [Notes](#-notes)
		52	+
		53	+---
		54	+
		55	+## 🎯 What this paper does
		56	+
		57	+Fifty years after Rosen (1974), applied hedonic practice still rests on specification
		58	+choices — functional form, temporal controls, spatial controls, estimation method — that
		59	+are made by convention and rarely stress-tested jointly. This paper runs the debate as a
		60	+controlled experiment: twenty models organised along four design axes, one attribute
		61	+set, one scoreboard, two holdouts, half a million sales.
31		62
32	\| Axis \| Models \| Question \|	63	\| Axis \| Models \| Question \|
33	\|---\|---\|---\|	64	\|---\|---\|---\|
				`@@ -36,40 +67,147 @@ and Estimation Methods for the Quebec Housing Market, 2021–2026*`
36	\| C. Spatial controls \| none / municipality / ~5.5 km grid / ~1.1 km grid FE \| how fine can location FE get before overfitting? \|	67	\| C. Spatial controls \| none / municipality / ~5.5 km grid / ~1.1 km grid FE \| how fine can location FE get before overfitting? \|
37	\| D. Estimation method \| OLS, ridge (CV), random forest, gradient boosting (± coordinates), spatial k-NN comparables \| what do the machines actually buy? \|	68	\| D. Estimation method \| OLS, ridge (CV), random forest, gradient boosting (± coordinates), spatial k-NN comparables \| what do the machines actually buy? \|
38		69
39	−Every model: same sales, same attributes (floor area, lot, age, storeys, units,	70	+Every model sees the same sales and the same attributes (floor area, lot, age, storeys,
40	−class, physical link), metrics on price levels (MdAPE, MAPE, RMSE_ln, R²_ln),	71	+units, class, physical link). Accuracy is measured on price levels (MdAPE, MAPE,
41	−municipality-clustered design, and two splits — random 80/20 and	72	+RMSE_ln, R²_ln) — log models are Duan-retransformed, Box–Cox models inverted — under a
42	−train < 2025 / test 2025–26 with carry-forward time effects.	73	+random 80/20 split and a forward-in-time split (train < 2025, test 2025–26, with
		74	+carry-forward time effects). Extensions compare the constant-quality monthly indices and
		75	+the implicit age / floor-area profiles implied by the competing forms, learning curves,
		76	+and accuracy by market segment.
		77	+
		78	+## 🏆 Headline results
		79	+
		80	+\| Object \| Random 80/20 holdout \| Forward-in-time holdout \|
		81	+\|---\|---\|---\|
		82	+\| Functional-form range (A1–A6), MdAPE \| 16.5 % (splines) – 18.6 % (Box–Cox) \| 19.1 % – 21.0 % \|
		83	+\| Data-driven Box–Cox exponent \| λ̂ = 0.25, buys nothing out of sample \| — \|
		84	+\| Dropping spatial FE (C1 vs C2) \| 27.9 % vs 18.1 % (+10 pp) \| 26.5 % vs 20.5 % \|
		85	+\| ~1.1 km grid FE (C4) \| 19.4 % — overfits vs 17.5 % at ~5.5 km \| 22.1 % \|
		86	+\| Dropping time FE (B1 vs B3) \| 21.1 % vs 18.1 % \| 25.4 % vs 20.5 % \|
		87	+\| Gradient boosting (D4) \| 14.4 % (−13 % vs best linear 16.5 %) \| 21.2 % \|
		88	+\| Random forest (D3) \| 14.6 % \| 21.3 % \|
		89	+\| Boosting without coordinates (D5) \| 23.2 % \| 26.2 % \|
		90	+\| Semi-log + splines (A6) \| 16.5 % \| 19.1 % — beats boosting, same R²_ln (0.52) \|
		91	+\| Implied monthly indices across forms \| agree within a few index points \| \|
		92	+\| Boosted implicit age / area profiles \| track quadratic OLS closely \| \|
		93	+
		94	+Practical synthesis: a semi-log with splines, quarter effects and spatial FE matched to
		95	+market thickness is within two points of the frontier in deployment conditions —
		96	+transparent, auditable, fast. Validate against the future, not a shuffle of the past.
43		97
44	## 🗂 Repository layout	98	## 🗂 Repository layout
45		99
46	```	100	```
47	wp11_uqo/	101	wp11_uqo/
48	−├── data/raw/ # snapshot (NOT in git — see data/raw/README.md)	102	+├── README.md
49	−├── src/wp11/ # config, sample, models (the harness), plotstyle	103	+├── requirements.txt
50	−├── scripts/	104	+├── .gitignore
		105	+├── data/
		106	+│ ├── raw/ # transactions_700k_avec_registre_foncier.parquet — NOT in git (see data/raw/README.md)
		107	+│ └── processed/ # estimation sample (generated by step 01)
		108	+├── src/wp11/ # reusable package
		109	+│ ├── config.py # paths, thresholds, grid sizes, seeds
		110	+│ ├── sample.py # sample construction & variable definitions
		111	+│ ├── models.py # the harness: 20 models, 2 splits, scoreboard, Box–Cox profile
		112	+│ └── plotstyle.py # journal-calibre matplotlib style
		113	+├── scripts/ # the pipeline, in order
51	│ ├── 01_build_sample.py # 745,119 → 514,212 sales	114	│ ├── 01_build_sample.py # 745,119 → 514,212 sales
52	│ ├── 02_horserace.py # 20 models × 2 splits + Box–Cox profile	115	│ ├── 02_horserace.py # 20 models × 2 splits + Box–Cox profile
53	│ ├── 03_extensions.py # indices, implicit-price profiles, learning curves, segments	116	│ ├── 03_extensions.py # indices, implicit-price profiles, learning curves, segments
54	−│ ├── 04_make_figures.py # 9 journal-calibre figures	117	+│ ├── 04_make_figures.py # 9 figures
55	│ └── 05_make_tables.py # 7 LaTeX tables	118	│ └── 05_make_tables.py # 7 LaTeX tables
56	−├── results/{reproduced,tables}/	119	+├── results/
57	−├── figures/	120	+│ ├── reproduced/ # every CSV the scripts emit (scoreboards, Box–Cox, index, profiles, …)
		121	+│ └── tables/ # LaTeX tables input by the paper
		122	+├── figures/ # 9 publication figures (PNG, 300 dpi)
58	└── paper/ # main.tex + sections/ + references.bib → main.pdf	123	└── paper/ # main.tex + sections/ + references.bib → main.pdf
59	```	124	```
60		125
61	## 🚀 Quick start	126	## 🚀 Quick start
62		127
63	```bash	128	```bash
64	−cd wp11_uqo
65	python3 -m pip install -r requirements.txt	129	python3 -m pip install -r requirements.txt
66	−# place the parquet snapshot in data/raw/ (not distributed), then:	130	+
67	−for s in scripts/0*.py; do python3 "$s"; done	131	+# place the parquet snapshot in data/raw/ (see data/raw/README.md), then:
68	−cd paper && make	132	+python3 scripts/01_build_sample.py # 745,119 → 514,212 sales
		133	+python3 scripts/02_horserace.py # 20 models × 2 splits + Box–Cox profile
		134	+python3 scripts/03_extensions.py # indices, profiles, learning curves, segments
		135	+python3 scripts/04_make_figures.py # 9 figures
		136	+python3 scripts/05_make_tables.py # 7 LaTeX tables
		137	+
		138	+cd paper && make # compile main.pdf (latexmk)
69	```	139	```
70		140
71	−Runtime ≈ 10 minutes on an Apple-silicon laptop (the boosting and forest fits	141	+Runtime ≈ 10 minutes on an Apple-silicon laptop (the boosting and forest fits dominate);
72	−dominate); peak RAM ≈ 8 GB.	142	+peak RAM ≈ 8 GB.
		143	+
		144	+## 🔬 The pipeline, step by step
		145	+
		146	+\| Step \| Script \| What it does \| Output \|
		147	+\|---\|---\|---\|---\|
		148	+\| 01 \| `01_build_sample.py` \| residential use codes, roll match ≤ 50 m / score ≥ 150, price ≥ $50k, floor area 20–2,000 m², known year built, 1/99 % trims within sale year; builds grid cells \| `data/processed/`, `results/reproduced/sample_counts.csv`, `summary_stats.csv` \|
		149	+\| 02 \| `02_horserace.py` \| fits the 20 models on each split, retransforms predictions to price levels, scores MdAPE/MAPE/RMSE_ln/R²_ln; Box–Cox profile likelihood \| `horserace_random.csv`, `horserace_temporal.csv`, `boxcox.csv` \|
		150	+\| 03 \| `03_extensions.py` \| constant-quality monthly indices by form, implicit ln-price profiles (quadratic OLS vs boosting), learning curves, accuracy by segment \| `index.csv`, `profiles.csv`, `learning.csv`, `segments.csv` \|
		151	+\| 04 \| `04_make_figures.py` \| the 9 figures \| `figures/fig_*.png` \|
		152	+\| 05 \| `05_make_tables.py` \| the 7 LaTeX tables \| `results/tables/*.tex` \|
		153	+
		154	+## 🗃 Data
		155	+
		156	+745,119 Quebec residential-market transactions (January 2021 – July 2026) matched at the
		157	+parcel level to the municipal assessment roll in force at the sale date (median match
		158	+distance 0.6 m; same snapshot as WP 10). The roll supplies the structural descriptors
		159	+missing from transaction registries: floor area, lot area, year built, units, storeys,
		160	+physical configuration, use code. Sample cascade (paper §3): residential use codes →
		161	+high-confidence match → price ≥ $50,000 → plausible floor area → known year built →
		162	+1/99 % trims ⇒ 514,212 sales (348,253 single-family, 75,734 condominiums, 74,909
		163	+plexes, 10,349 cottages, 4,881 mobile homes) over 1,115 municipalities, 5,255 cells of
		164	+~5.5 km and 30,548 cells of ~1.1 km. Mean price $462,000 (median $399,000). The raw
		165	+parquet (100 MB, transaction microdata) is not redistributed.
		166	+
		167	+## 🔬 Methodology
		168	+
		169	+1. One attribute set, one sample for every model (`src/wp11/sample.py`).
		170	+2. Axis A — six functional forms on a municipality + quarter FE backbone; Box–Cox λ by
		171	+ profile likelihood; log models retransformed with Duan smearing, Box–Cox inverted
		172	+ (`src/wp11/models.py`).
		173	+3. Axis B / C — time-FE ladder (none → month) and spatial-FE ladder (none → ~1.1 km
		174	+ grid) on the quadratic semi-log backbone.
		175	+4. Axis D — OLS, cross-validated ridge, random forest, gradient boosting with and
		176	+ without coordinates, spatial k-NN comparables, all on the identical attribute set.
		177	+5. Two holdouts — random 80/20 and forward-in-time (train < 2025, test 2025–26, time
		178	+ effects carried forward); metrics on price levels, design clustered by municipality.
		179	+6. Extensions — implied monthly indices, implicit-price profiles, learning curves,
		180	+ segment accuracy (`scripts/03_extensions.py`).
		181	+
		182	+## 🖼 Figures & tables inventory
		183	+
		184	+\| Figure \| Content \|
		185	+\|---\|---\|
		186	+\| `fig_forms` \| Axis A — functional form, MdAPE on the random holdout \|
		187	+\| `fig_time` \| Axis B — time effects \|
		188	+\| `fig_space` \| Axis C — spatial controls (overfitting at ~1 km) \|
		189	+\| `fig_methods` \| Axis D — estimation methods on the identical attribute set \|
		190	+\| `fig_generalization` \| the generalization gap: random vs forward-in-time MdAPE, all 20 models \|
		191	+\| `fig_index` \| constant-quality monthly price indices implied by competing forms \|
		192	+\| `fig_profiles` \| implicit ln-price profiles: quadratic OLS vs gradient boosting \|
		193	+\| `fig_learning` \| learning curves: MdAPE against training-set size \|
		194	+\| `fig_segments` \| MdAPE by market segment (random holdout) \|
		195	+
		196	+Tables (`results/tables/*.tex`): summary statistics, scoreboard random holdout,
		197	+scoreboard forward-in-time holdout, Box–Cox profile, generalization gap, learning
		198	+curves, segments.
		199	+
		200	+## ⚠️ Limitations
		201	+
		202	+- Sales below $50k are absent from the source registry; residual non-arm's-length
		203	+ transfers may survive the screens.
		204	+- 2021–2026 spans a boom, a rate correction and a recovery — level statistics are
		205	+ period-specific; the forward-in-time test is deliberately demanding.
		206	+- Attributes are those of the assessment roll (no interior quality, renovations or
		207	+ listing text); the ML advantage measured here is the value of flexible spatial
		208	+ learning on that attribute set, not of richer data.
		209	+- Tree ensembles are tuned lightly (fixed hyper-parameters); the ranking is robust to
		210	+ the choices tried but not exhaustively optimised.
73		211
74	## 📝 Citation	212	## 📝 Citation
75		213
				`@@ -78,7 +216,7 @@ dominate); peak RAM ≈ 8 GB.`
78	author = {Boucher, Simon-Pierre},	216	author = {Boucher, Simon-Pierre},
79	title = {Half a Million Prices, Twenty Models: A Systematic Assessment	217	title = {Half a Million Prices, Twenty Models: A Systematic Assessment
80	of Hedonic Specifications and Estimation Methods for the	218	of Hedonic Specifications and Estimation Methods for the
81	− Quebec Housing Market},	219	+ Quebec Housing Market, 2021--2026},
82	institution = {Universit\'e du Qu\'ebec en Outaouais,	220	institution = {Universit\'e du Qu\'ebec en Outaouais,
83	D\'epartement des sciences administratives},	221	D\'epartement des sciences administratives},
84	type = {Working Paper},	222	type = {Working Paper},
				`@@ -92,4 +230,12 @@ dominate); peak RAM ≈ 8 GB.`
92		230
93	Simon-Pierre Boucher — Département des sciences administratives,	231	Simon-Pierre Boucher — Département des sciences administratives,
94	Université du Québec en Outaouais (UQO), Gatineau, QC.	232	Université du Québec en Outaouais (UQO), Gatineau, QC.
95	−📧 [contact@spboucher.ai](mailto:contact@spboucher.ai)	233	+📧 [simon-pierre.boucher@uqo.ca](mailto:simon-pierre.boucher@uqo.ca)
		234	+
		235	+## 🗒 Notes
		236	+
		237	+- Numbering: UQO Working Paper No. 11 belongs to this paper (August 2026). Two other
		238	+ manuscripts briefly carried the label "WP 11": *Hedonic House Pricing with
		239	+ Language-Model and Vision Features* (now WP 14) and *Does the Sales Comparison
		240	+ Approach Actually Work?* (now WP 16).
		241	+- Cover page, metadata and layout follow `Recherche-UQO/HARMONISATION.md` (2026-10-17).

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1	−# Author: Simon-Pierre Boucher — contact@spboucher.ai
2	$pdf_mode = 1;	1	$pdf_mode = 1;
3	$pdflatex = 'pdflatex -interaction=nonstopmode -halt-on-error -synctex=1 %O %S';	2	$pdflatex = 'pdflatex -interaction=nonstopmode -halt-on-error -synctex=1 %O %S';
4	$bibtex_use = 2;	3	$bibtex_use = 2;

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				`@@ -1,9 +1,11 @@`
1	−# Author: Simon-Pierre Boucher — contact@spboucher.ai	1	+.PHONY: all clean distclean
		2	+
2	all:	3	all:
3	− latexmk -pdf main.tex	4	+ latexmk
4		5
5	clean:	6	clean:
6	latexmk -c	7	latexmk -c
7		8
8	distclean:	9	distclean:
9	latexmk -C	10	latexmk -C
		11	+ rm -f .synctex.gz .run.xml .bbl .bcf

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				`@@ -57,8 +57,7 @@`
57	Estimation Methods for the Quebec Housing Market, 2021--2026}	57	Estimation Methods for the Quebec Housing Market, 2021--2026}
58	\newcommand{\WPdate}{August 2026}	58	\newcommand{\WPdate}{August 2026}
59	\newcommand{\WPversion}{1.0}	59	\newcommand{\WPversion}{1.0}
60	−\newcommand{\WPkeywords}{Hedonic pricing, Functional form, House price	60	+\newcommand{\WPkeywords}{hedonic pricing, functional form, house price indexes, machine learning, automated valuation, out-of-sample prediction}
61	− indexes, Machine learning, Automated valuation, Out-of-sample prediction}
62	\newcommand{\WPjel}{R31, C21, C52, C53}	61	\newcommand{\WPjel}{R31, C21, C52, C53}
63		62
64	\newcommand{\WPauthor}{Simon-Pierre Boucher}	63	\newcommand{\WPauthor}{Simon-Pierre Boucher}
				`@@ -98,6 +97,8 @@ index points, and the boosted model's implicit age and floor-area`
98	profiles track the quadratic OLS closely --- interpretation and	97	profiles track the quadratic OLS closely --- interpretation and
99	prediction disagree less than the random-validation gap suggests.}	98	prediction disagree less than the random-validation gap suggests.}
100		99
		100	+\hypersetup{pdftitle={Half a Million Prices, Twenty Models}, pdfauthor={Simon-Pierre Boucher}}
		101	+
101	\begin{document}	102	\begin{document}
102		103
103	\input{sections/titlepage}	104	\input{sections/titlepage}

modified paper/sections/titlepage.tex +15 −8

				`@@ -1,17 +1,17 @@`
1	−% Author: Simon-Pierre Boucher — contact@spboucher.ai
2	% ============================================================================	1	% ============================================================================
3	−% Title and abstract pages	2	+% Title Page
4	% ============================================================================	3	% ============================================================================
5	\thispagestyle{empty}	4	\thispagestyle{empty}
6		5
7	\begin{center}	6	\begin{center}
8		7
9	−\includegraphics[width=4cm]{uq_logo.jpg}	8	+% --- Logo ---
		9	+\includegraphics[width=3.5cm]{uq_logo.jpg}
10		10
11	\vspace{0.6cm}	11	\vspace{0.6cm}
12		12
13	−{\footnotesize\textsc{Universit\'e du Qu\'ebec en Outaouais}}\\[0.15cm]	13	+{\footnotesize\textsc{Université du Québec en Outaouais}}\\[0.15cm]
14	−{\footnotesize\textsc{D\'epartement des sciences administratives}}	14	+{\footnotesize\textsc{Département des sciences administratives}}
15		15
16	\vspace{0.8cm}	16	\vspace{0.8cm}
17		17
				`@@ -19,13 +19,17 @@`
19		19
20	\vspace{1.2cm}	20	\vspace{1.2cm}
21		21
		22	+% --- Title ---
22	{\LARGE\bfseries \WPtitle\par}	23	{\LARGE\bfseries \WPtitle\par}
23		24
24	−\vspace{0.4cm}	25	+\ifx\WPsubtitle\empty\else
25	−{\large\itshape \WPsubtitle\par}	26	+ \vspace{0.3cm}
		27	+ {\large\itshape \WPsubtitle\par}
		28	+\fi
26		29
27	\vspace{1.2cm}	30	\vspace{1.2cm}
28		31
		32	+% --- Author ---
29	{\large \WPauthor}\\[0.3cm]	33	{\large \WPauthor}\\[0.3cm]
30	{\normalsize \WPaffiliation}\\[0.15cm]	34	{\normalsize \WPaffiliation}\\[0.15cm]
31	{\normalsize \href{mailto:\WPemail}{\WPemail}}\\[0.15cm]	35	{\normalsize \href{mailto:\WPemail}{\WPemail}}\\[0.15cm]
				`@@ -33,6 +37,7 @@`
33		37
34	\vspace{0.8cm}	38	\vspace{0.8cm}
35		39
		40	+% --- Date & Version ---
36	{\normalsize \WPdate}\\[0.1cm]	41	{\normalsize \WPdate}\\[0.1cm]
37	{\small Version~\WPversion}	42	{\small Version~\WPversion}
38		43
				`@@ -42,7 +47,9 @@`
42		47
43	\newpage	48	\newpage
44		49
45	−% ---------------------------------------------------------------- abstract	50	+% ============================================================================
		51	+% Abstract Page
		52	+% ============================================================================
46	\thispagestyle{empty}	53	\thispagestyle{empty}
47		54
48	\vspace*{1cm}	55	\vspace*{1cm}
49		56

spb/wp11_uqo

harmonisation standard UQO WP (2026-10-17)

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