You’ll never walk alone: unemployment, social networks and leisure activities
利用荷兰LISS面板数据，通过双重差分与逆概率加权方法，研究了失业如何影响个体的社交网络、休闲活动及相关满意度，发现失业后人们加强与家人联系、增加与邻居相处时间、更多使用社交媒体，并从休闲活动中获得更多乐趣。
Abstract We analyse how unemployment affects individuals’ social networks, leisure activities, and related satisfaction measures. We use the LISS panel, a representative longitudinal survey of the Dutch population. We estimate the effects by inverse propensity score weighting in a difference-in-differences design to deal with unobserved heterogeneity and unbalanced covariate distribution between treated and control units potentially associated with the dynamics of the outcome variables. We find that, after job loss, individuals increase their network size by strengthening their closest family contacts, spending more time with neighbours, and using social media more frequently. Additionally, our results show that job losers derive more enjoyment from their leisure time, with an increase in the time spent on private activities.