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This chapter summarizes the recent literature on peer effects in student outcomes at the elementary, secondary, and post-secondary levels. Linear-in-means models find modest sized and statistically significant peer effects in test scores. But the linear-in-means model masks considerable...
Persistent link: https://www.econbiz.de/10014025658
We examine friendships and study partnerships among university students over several years. At the aggregate level, connections increase over time, but homophily on gender and ethnicity is relatively constant across time, university residences, and different network layers. At the individual...
Persistent link: https://www.econbiz.de/10013486159
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We study how social interaction and friendship shape students' political opinions in a natural experiment at Sciences Po, the cradle of top French politicians. Quasi-random assignments of students into the same short-term integration groups before their scholar curriculum reduce political...
Persistent link: https://www.econbiz.de/10014427204
An innovative model describing the convergence of technology use at the micro level is introduced. ICT (information and communication technology) ownership, measured as the number of smartphones within a household, depends upon socioeconomic character- istics, such as income, education,...
Persistent link: https://www.econbiz.de/10014428145
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Stigma of welfare participation is important for policy and survey design, because it deters program take-up and increases misreporting. Stigma is also relevant to the literature on social image concerns, yet empirical evidence is scant because stigma is difficult to empirically identify. We use...
Persistent link: https://www.econbiz.de/10013286475
We study the existence of homophily (i.e. the tendency for people to make friends with people who are similar to themselves) with respect to trustworthiness. We ask whether two friends show similarly trustworthy behavior towards strangers, and whether this is anticipated by outsiders. We develop...
Persistent link: https://www.econbiz.de/10010252394
We study peer effects in crime by analyzing co-offending networks. We first provide a credible estimate of peer effects in these networks equal to 0.17. This estimate implies a social multiplier of 1.2 for those individuals linked to only one co-offender and a social multiplier of 2 for those...
Persistent link: https://www.econbiz.de/10010252606
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