G2TT
来源类型Discussion paper
规范类型论文
来源IDDP13786
DP13786 Information, Mobile Communication, and Referral Effects
Eleonora Patacchini; Panle Jia Barwick; Yanyan Liu; Qi Wu
发表日期2019-06-09
出版年2019
语种英语
摘要Information is a crucial ingredient in economic decision making. Yet measuring the extent of information exchange among individuals and its effect on economic outcomes is a difficult task. We use the universe of de-identified cellphone usage records from more than one million users in a Chinese city over twelve months to quantify information exchange among individuals and examine the role of referrals -- human carriers of information -- in urban labor markets. We present the first evidence that information flow (measured by call volume) correlates strongly with worker flows, a pattern that persists at different levels of geographic aggregation. Condition on information flow, socioeconomic diversity in information sources (social contacts), especially that associated with the working population, is crucial and helps to predict worker flows. We supplement our phone records with auxiliary data sets on residential housing prices, job postings, and firm attributes from administrative data. Information passed on through referrals is valuable: 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 sector. Firms receiving referrals are more likely to have successful recruits and experience faster growth.
主题Development Economics ; Industrial Organization ; Labour Economics ; Public Economics
关键词Information Mobile communication Urban labor market Social Networks Entrop
URLhttps://cepr.org/publications/dp13786-0
来源智库Centre for Economic Policy Research (United Kingdom)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/542655
推荐引用方式
GB/T 7714
Eleonora Patacchini,Panle Jia Barwick,Yanyan Liu,et al. DP13786 Information, Mobile Communication, and Referral Effects. 2019.
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