International Migration, Housing Demand Measurement, and Vancouver New-House Price Forecasting
国际迁移、住房需求测量与温哥华新建住宅价格预测
更一致的住房需求核算不会自动带来更好的预测。本文将迁移测量的合理性,与证明增量预测价值所需的证据明确区分。
研究概览
国际迁移常被直接理解为住房需求,但原始人口流量可能重复计算从临时身份转为永久身份的人群,也没有反映不同群体的成户差异。本文将加拿大 41 个都会区的人口组成数据,与按身份和住房权属划分的住宅使用率结合,估算每千套占用住宅对应的迁移相关使用量。
研究采用考虑数据发布延迟的伪实时评估与历史首发数据重建,检验该指标是否改善温哥华新建住宅价格指数预测。部分短期模型的点估计有所改善,但优势并不精确,或无法跨预测期限和基准持续成立。因此核心结论保持克制:核算一致性与增量预测价值是两个不同问题。
核心贡献
- 01
可复现需求指标
构建可比较的迁移相关占用住宅使用量流,并对临时转永久身份进行衔接处理,而不是将其重复视为新的外部流入。
- 02
发布时点安全评估
同时采用当前版本伪实时测试和基于加拿大统计局精确历史发布数据的独立重建,以降低前视偏差。
- 03
多期限模型比较
在季度与年度期限上比较基准模型、自回归、跨都会区池化、预测组合与神经网络设定。
- 04
透明呈现负向证据
明确报告表面改善缺乏统计精度、在更长期限失效,或无法通过增量信息标准的情况。
证据与适用范围
本文目前是 SSRN 预印本,研究对象是测量与预测关联,并不识别因果政策效应,也不证明未来预测一定更优。部分分析属于探索性研究,历史数据可能修订;关于温哥华新建住宅价格的结果不应直接推广到所有住房市场或住房结果。
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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