@article{BaertNeytSiedleretal.2021, author = {Baert, By Stijn and Neyt, Brecht and Siedler, Thomas and Tobback, Ilse and Verhaest, Dieter}, title = {Student internships and employment opportunities after graduation}, series = {Economics of education review}, volume = {83}, journal = {Economics of education review}, publisher = {Elsevier}, address = {Oxford}, issn = {0272-7757}, doi = {10.1016/j.econedurev.2021.102141}, pages = {11}, year = {2021}, abstract = {Internships during tertiary education have become substantially more common over the past decades in many industrialised countries. This study examines the impact of a voluntary intra-curricular internship experience during university studies on the probability of being invited to a job interview. To estimate a causal relationship, we conducted a randomised field experiment in which we sent 1248 fictitious, but realistic, resumes to real job openings. We find that applicants with internship experience have, on average, a 12.6\% higher probability of being invited to a job interview.}, language = {en} } @article{AckfeldRohloffRzepka2021, author = {Ackfeld, Viola and Rohloff, Tobias and Rzepka, Sylvi}, title = {Increasing personal data contributions for the greater public good}, series = {Behavioural public policy}, journal = {Behavioural public policy}, publisher = {Cambridge University Press}, address = {Cambridge}, issn = {2398-063X}, doi = {10.1017/bpp.2021.39}, pages = {1 -- 27}, year = {2021}, abstract = {Personal data increasingly serve as inputs to public goods. Like other types of contributions to public goods, personal data are likely to be underprovided. We investigate whether classical remedies to underprovision are also applicable to personal data and whether the privacy-sensitive nature of personal data must be additionally accounted for. In a randomized field experiment on a public online education platform, we prompt users to complete their profiles with personal information. Compared to a control message, we find that making public benefits salient increases the number of personal data contributions significantly. This effect is even stronger when additionally emphasizing privacy protection, especially for sensitive information. Our results further suggest that emphasis on both public benefits and privacy protection attracts personal data from a more diverse set of contributors.}, language = {en} }