International Migration, Housing Demand Measurement, and Vancouver New-House Price Forecasting
國際遷移、住房需求衡量與溫哥華新建住宅價格預測
更一致的住房需求核算不會自動帶來更好的預測。本文將遷移衡量的合理性,與證明增量預測價值所需的證據明確區分。
研究概覽
國際遷移常被直接理解為住房需求,但原始人口流量可能重複計算從臨時身分轉為永久身分的人群,也沒有反映不同群體的成戶差異。本文將加拿大 41 個都會區的人口組成資料,與按身分和住房權屬劃分的住宅使用率結合,估算每千套占用住宅對應的遷移相關使用量。
研究採用考慮資料發布延遲的偽即時評估與歷史首發資料重建,檢驗該指標是否改善溫哥華新建住宅價格指數預測。部分短期模型的點估計有所改善,但優勢並不精確,或無法跨預測期限和基準持續成立。因此核心結論保持克制:核算一致性與增量預測價值是兩個不同問題。
核心貢獻
- 01
可重現需求指標
建立可比較的遷移相關占用住宅使用量流,並對臨時轉永久身分進行銜接處理,而不是將其重複視為新的外部流入。
- 02
發布時點安全評估
同時採用目前版本偽即時測試和基於加拿大統計局精確歷史發布資料的獨立重建,以降低前視偏誤。
- 03
多期限模型比較
在季度與年度期限上比較基準模型、自我迴歸、跨都會區池化、預測組合與神經網路設定。
- 04
透明呈現負向證據
明確報告表面改善缺乏統計精度、在更長期限失效,或無法通過增量資訊標準的情況。
證據與適用範圍
本文目前是 SSRN 預印本,研究對象是衡量與預測關聯,並不識別因果政策效果,也不證明未來預測一定更優。部分分析屬於探索性研究,歷史資料可能修訂;關於溫哥華新建住宅價格的結果不應直接推廣到所有住房市場或住房結果。
英文摘要
This paper constructs a reproducible measure of occupied-dwelling use associated with international migration and asks whether the measure improves forecasts of Statistics Canada’s Vancouver New Housing Price Index. We combine annual population components for 41 census metropolitan areas over 2002–2024 with national status- and tenure-specific housing-use rates. The accounting applies a nationally calibrated reconciliation of temporary-to-permanent transitions instead of treating them as new external arrivals, and expresses the resulting flow per 1,000 occupied dwellings. We conduct a release-delay-safe, current-vintage pseudo-real-time quarterly evaluation and a retrospective annual expanding-origin comparison. An exploratory extension evaluates realized-future information diagnostics, a 19-feature monthly leading layer, horizon-specific cross-CMA partial pooling, strictly historical-error forecast combinations, and a two-hidden-layer tanh neural network. On 102 common Vancouver origins, the exponential-weight combination has four-quarter MAE 2.826 versus 3.256 for the random walk, a 13.2% reduction, but the paired Newey–West comparison is imprecise (p = .224). At eight quarters its MAE is 6.146, worse than the random walk’s 5.736. Neural MAEs are 0.907, 3.392, and 6.560 at one, four, and eight quarters; none improves on both benchmark criteria. A separate reconstruction from exact Statistics Canada The Daily releases produces 585 historical-first-release retrospective forecasts. At one quarter, AR(4)-direct MAE is 0.781 percentage points versus 0.887 for the random walk on 51 origins; the candidate-minus-random-walk descriptive interval [-0.283, 0.071] crosses zero. In the annual metropolitan-area exercise, the composition-adjusted central sensitivity likewise fails its incremental-value criterion against both the pooled base and raw total population flow in every evaluation set. A secondary purpose-built-rental exercise also fails its incremental-information criterion for both rental outcomes. The evidence therefore separates accounting coherence from incremental predictive value. The results concern new-house prices and predictive association; they do not identify a causal policy effect or establish prospective forecast superiority.
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