How Does the Age Structure Affect Local Economies in the US?

IF 0.6 Q4 ECONOMICS Review of Regional Studies Pub Date : 2021-08-30 DOI:10.52324/001c.27971
Xiaochen Zhang
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引用次数: 1

Abstract

This study examines the impacts of population aging on a wide range of economic indicators from a regional perspective. Many countries, including the United States, are experiencing demographic aging. This may have a dramatic impact on both the national and sub-national economies. However, there is little consensus about its impact on local sub-national economies. This study uses regional variation in age structure to explain economic outcomes at the metropolitan statistical areas (MSAs) level. In order to identify causal effects, Mahalanobis distances were calculated to identify the matched cities as instrumental variables. The study finds that regions with older age structures tend to have higher growth rates of GDP per capita and lower growth rates of unemployment, but such positive effects are likely to fade away in the long run. Additionally, there is no significant impact of age composition on income. The choice of variables is critical as it can lead to mixed results. The results are robust before, during and after the economic recession. Quantile regression is also used to explore potential heterogeneous effects among MSAs. The results show that MSAs, regardless of their size, are uniformly affected by the age structure.
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年龄结构如何影响美国的地方经济?
本研究从区域角度考察人口老龄化对经济指标的影响。包括美国在内的许多国家都在经历人口老龄化。这可能会对国家和地方经济产生巨大影响。然而,对于它对地方地方经济的影响,人们几乎没有达成共识。本研究使用年龄结构的区域差异来解释大都市统计区域(msa)层面的经济结果。为了确定因果关系,计算马氏距离以确定匹配的城市作为工具变量。研究发现,年龄结构越老的地区,人均GDP增长率越高,失业率增长率越低,但从长远来看,这种积极影响可能会逐渐消失。此外,年龄构成对收入没有显著影响。变量的选择是至关重要的,因为它可能导致混合的结果。在经济衰退之前、期间和之后,结果都很强劲。分位数回归也用于探索msa之间潜在的异质性效应。结果表明,无论粒径大小,均受年龄结构的影响。
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CiteScore
1.20
自引率
22.20%
发文量
13
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