{"title":"用数字痕迹衡量非正式工作:卢旺达的移动付费电话运营商","authors":"Daniel Björkegren","doi":"10.1145/3392561.3397576","DOIUrl":null,"url":null,"abstract":"This paper illuminates the workings of an informal industry in one of the poorest countries in the world. I study payphone operators in Rwanda using 427 million digital traces recorded on the mobile phone network. I demonstrate how to extract economic behavior from these traces. They reveal every call that generates revenue, as well as operators' critical business decisions: entry, the daily decision of where and when to work, and exit. Over the period I study, thousands of informal workers enter the industry. New entrants learn to optimize their operations within the first two months. Patterns are suggestive of business stealing.","PeriodicalId":237182,"journal":{"name":"Proceedings of the 2020 International Conference on Information and Communication Technologies and Development","volume":"105 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Measuring Informal Work with Digital Traces: Mobile Payphone Operators in Rwanda\",\"authors\":\"Daniel Björkegren\",\"doi\":\"10.1145/3392561.3397576\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper illuminates the workings of an informal industry in one of the poorest countries in the world. I study payphone operators in Rwanda using 427 million digital traces recorded on the mobile phone network. I demonstrate how to extract economic behavior from these traces. They reveal every call that generates revenue, as well as operators' critical business decisions: entry, the daily decision of where and when to work, and exit. Over the period I study, thousands of informal workers enter the industry. New entrants learn to optimize their operations within the first two months. Patterns are suggestive of business stealing.\",\"PeriodicalId\":237182,\"journal\":{\"name\":\"Proceedings of the 2020 International Conference on Information and Communication Technologies and Development\",\"volume\":\"105 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2020 International Conference on Information and Communication Technologies and Development\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3392561.3397576\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2020 International Conference on Information and Communication Technologies and Development","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3392561.3397576","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Measuring Informal Work with Digital Traces: Mobile Payphone Operators in Rwanda
This paper illuminates the workings of an informal industry in one of the poorest countries in the world. I study payphone operators in Rwanda using 427 million digital traces recorded on the mobile phone network. I demonstrate how to extract economic behavior from these traces. They reveal every call that generates revenue, as well as operators' critical business decisions: entry, the daily decision of where and when to work, and exit. Over the period I study, thousands of informal workers enter the industry. New entrants learn to optimize their operations within the first two months. Patterns are suggestive of business stealing.