Informal Work in Numbers

C. Hummel
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Abstract

Chapter 3 introduces survey data from around the world and establishes broad trends in informal work and civil society participation. Descriptive statistics show that informal workers organize in nearly every country in the sample and extensively organize in many. I estimate a data set of informal workers using survey data from the Latin American Public Opinion Project (LAPOP) and a machine learning algorithm. Regressions on the estimated data set, a data set of known informal workers, and a data set of self-employed workers suggest that informal workers are more likely to organize in low-capacity countries. The chapter then turns to survey data from the 42 countries around the world in the Comparative Study of Electoral Systems (CSES) database and find similar patterns between informal work, state capacity, and political participation. The quantitative analyses point to cases to examine in more depth. Two cities in the La Paz department of Bolivia, La Paz and El Alto were selected, to see how informal workers interact with officials with lower enforcement capacity, as well as two districts in São Paulo, Brazil, to understand how informal workers interact with officials with higher enforcement capacity.
非正式工作的数量
第3章介绍了来自世界各地的调查数据,并确定了非正式工作和民间社会参与的广泛趋势。描述性统计数据显示,样本中几乎每个国家的非正式工人都组织起来了,而且在许多国家组织得很广泛。我使用拉丁美洲公众意见项目(LAPOP)的调查数据和机器学习算法来估计非正式工人的数据集。对估计数据集、已知非正式工人数据集和个体经营者数据集的回归表明,在低能力国家,非正式工人更有可能组织起来。然后,本章转向选举制度比较研究(CSES)数据库中来自全球42个国家的调查数据,发现非正式工作、国家能力和政治参与之间存在类似的模式。定量分析指出了需要更深入研究的案例。玻利维亚拉巴斯省的两个城市,拉巴斯和埃尔阿尔托被选中,以了解非正式工人如何与执法能力较低的官员互动,以及巴西圣保罗的两个地区,以了解非正式工人如何与执法能力较高的官员互动。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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