【摘要】 鉴于现行就业统计方式不能及时、准确反映经济运行形势，如何利用大数据对现有统计指标进行补充成为一个重要问题。鉴于短视频消费已经成为当今社会主要的休闲娱乐方式，文章将短视频消费纳入效用函数，通过失业人员与雇员在时间分配上的差异，揭示全社会用于观看短视频的时间与就业率之间存在的理论联系。通过计量分析，研究发现基于抖音在线人数计算的估计值与描述失业者寻找工作行为的百度搜索指数呈现正相关关系，可以借助短视频观看时长变动说明失业者寻找工作行为的变化。基于抖音在线人数估计的劳动参与率与16—24岁城镇调查失业率存在显著负相关关系，两者的皮尔逊相关系数为-0.862,因此估计的劳动参与率可以作为城镇调查失业率，特别是16—24岁劳动力调查失业率的补充。更多还原

【Abstract】 The current employment statistics method cannot timely and accurately reflect the economic situation.How to use big data to supplement existing statistical indicators has become an important issue.Short video consumption has become the main form of leisure and entertainment in society.By incorporating short video consumption into the utility function,the theoretical relationship between the time spent watching short videos and employment rates in the whole society is revealed through the differences in time allocation between unemployed individuals and employees.Through econometric analysis,the study finds that the value calculated based on the number of TikTok online people shows a positive correlation with the Baidu search index,which describes the jobless people’s job seeking behavior.The change of time spending on watching short videos can be used to explain the change in the jobless people’s job seeking behavior.There is a significant negative correlation between the labor participation rate based on the TikTok online number estimation and the urban survey unemployment rate of 16-24 years old.The Pearson correlation coefficient of the two is-0.862,so the estimated labor participation rate can be used as a supplement to the urban survey unemployment rate,especially the survey unemployment rate of 16-24 years old labor force.更多还原