Modeling How Macroeconomic Shocks Affect Regional Employment: Analyzing the Brazilian Formal Labor Market Using the Global VAR Approach

Bruno Tebaldi, Emerson Fernandes Marçal
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Abstract

Assessing linkages across different regions and how macroeconomic shocks spread out across regions is not an easy task. In this study we address this problem using a global vector autoregressive methodology that deals with the curse of dimensionality in an ingenious form. Focusing on the Brazilian labor market, identified and quantified how a shock in an aggregate economic activity spreads out regionally and throughout time. Another novelty of our work is the use of information collected by the Brazilian Bureau of Geography and Statistics to measure how regions are linked by analyzing infrastructure linkages of Brazilian municipalities in terms of airports, roads, ports, education, health, and tourism activities. Interdependence among regions is measured not only by closeness but also by considering economic linkages. In terms of regional sensitivity to macroeconomic shocks, we provide evidence that these shocks tend to cause stronger effects on the South, Southeast, and Midwest regions than the Northeast and North regions. This conclusion is in line with the idea that the formal labor market is better developed in the former regions than the latter. The South, Southeast, and Midwest regions in Brazil have better economic and social indicators.
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宏观经济冲击如何影响区域就业:用全球VAR方法分析巴西正规劳动力市场
评估不同地区之间的联系以及宏观经济冲击如何在不同地区之间扩散并不是一件容易的事。在这项研究中,我们使用全局向量自回归方法来解决这个问题,该方法以一种巧妙的形式处理维度的诅咒。以巴西劳动力市场为重点,确定并量化了总体经济活动的冲击如何在区域和整个时间内扩散。我们工作的另一个新颖之处是利用巴西地理和统计局收集的信息,通过分析巴西各城市在机场、道路、港口、教育、卫生和旅游活动方面的基础设施联系,来衡量各地区之间的联系。区域之间的相互依存不仅要以密切程度来衡量,而且要考虑到经济联系。就区域对宏观经济冲击的敏感性而言,我们提供的证据表明,这些冲击对南部、东南部和中西部地区的影响往往比东北和北部地区更强。这一结论与前一地区正规劳动力市场比后一地区更发达的观点是一致的。巴西南部、东南部和中西部地区的经济和社会指标较好。
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