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来源类型Working Paper
规范类型报告
DOI10.3386/w25873
来源IDWorking Paper 25873
Information, Mobile Communication, and Referral Effects
Panle Jia Barwick; Yanyan Liu; Eleonora Patacchini; Qi Wu
发表日期2019-05-27
出版年2019
语种英语
摘要We use the universe of de-identified and geocoded cellphone records for 1.8 million individuals from a major Chinese telecommunication provider to examine the role of information exchange in urban labor markets. Information flow, as measured by call volume, correlates strongly with worker flows at different levels of geographic aggregation. Having a referral in a location increases by close to four times the likelihood that a job switcher moves there. Different from the communication pattern between nonreferral pairs, communication between referral pairs exhibits a distinct inverted-U shape that peaks prior to the job switch. Compared with our referral measure, the commonly-used social network proxies deliver a lower bound estimate of the referral effect. We supplement the phone records with administrative data on firm attributes and auxiliary data on job postings and residential housing prices. Referred jobs are associated with higher monetary gains, a higher likelihood to transition from part time to full time, reduced commuting time, and a higher probability of entering desirable jobs. Referral information is more valuable for young workers, people switching jobs from suburbs to the inner city, and those changing their industrial sectors. Firms receiving referred workers are associated with more successful recruits, higher matching rates and faster growth.
主题Labor Economics ; Unemployment and Immigration ; Regional and Urban Economics
URLhttps://www.nber.org/papers/w25873
来源智库National Bureau of Economic Research (United States)
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资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/583546
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GB/T 7714
Panle Jia Barwick,Yanyan Liu,Eleonora Patacchini,et al. Information, Mobile Communication, and Referral Effects. 2019.
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