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Simulating the impact of transport infrastructure investment on wages: A dynamic spatial panel model approach

机译:模拟运输基础设施投资对工资的影响:动态空间面板模型方法

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This paper estimates the impact of a multi-billion pound investment in Britain's rail transport infrastructure, in the form of high-speed rail links, on wage levels across each of 347 districts of England and Wales. The impacts are based on a dynamic spatial panel model adaptation of standard urban economics based on employment density and commuting patterns. This allows estimation of these global impacts operating via improved commuting times. We demonstrate that while estimates of a traditional market potential approach with fixed effects are to some extent qualitatively and quantitatively similar to our predictions, our predictions allow more heterogeneous effects and give more accurate forecasts. The study finds that on average wages increase by around 2% as employment centres gain improved access to more skilled workers and as spillover effects become spatially more extensive. While most areas see modest positive effects, some locations are negatively affected, in the extreme case by as much as 7%.
机译:本文估算了以高速铁路形式对英国的铁路运输基础设施进行数十亿英镑投资,对英格兰和威尔士347个地区的工资水平的影响。这些影响基于基于就业密度和通勤模式对标准城市经济学进行的动态空间面板模型调整。这样就可以估算通勤时间的缩短对这些全球影响的影响。我们证明,虽然对具有固定影响的传统市场潜力方法的估计在质量和数量上与我们的预测在一定程度上相似,但我们的预测允许更多的异质影响并给出更准确的预测。研究发现,随着就业中心获得更多技术工人的机会以及溢出效应在空间上的扩散,平均工资增长了2%左右。尽管大多数地区都产生了适度的积极影响,但某些地区却受到了负面影响,在极端情况下,受到的影响高达7%。

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