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BACKGROUND AND AIMS Previous studies have shown that prescription opioid use is more common in socio-economically disadvantaged communities in the United States. This study examined the area and individual-level determinants of prescription opioid use in Finland during the period 1995-2016. DESIGN Logistic regression analysis using nation-wide data on filled opioid-related prescriptions dispensed at Finnish pharmacies and covered by National Health Insurance. Opioid consumption was linked, using personal identification codes, to population-based data maintained by Statistics Finland, which records individual background and area-level characteristics. SETTING AND PARTICIPANTS Working-age population aged between 15 and 64 years in Finland during the periods 1995-2007 (n = 4 315 409) and 2009-16 (n = 4 116 992). MEASUREMENTS Annual prescription opioid use was measured using defined daily doses (DDD) and whether people used opioids during a year. FINDINGS Prescription opioid use increased in Finland from 1995 to 2016 (from less than 1 to 7%), but the increase was explained by the change in the treatment of codeine-based opioids in National Health Insurance. The area-level unemployment rate was positively correlated with the share of opioid users at the municipal level (r = 0.36; P

In this paper, we investigate how the innovation expectations of public financiers are related to realized patents. The analysis is based on a novel data set of collaborative R&D projects subsidized by the Finnish Agency of Technology and Innovation (Tekes) and the European Regional Development Fund (ERDF) during the period 2000–2004. Innovation expectations are measured using reports submitted by Tekes experts during ex ante assessments of projects. Our probit model results reveal that Tekes' patent expectations are positively related to realized patents for projects led by private firms (but not by public organizations). For large organizations, Tekes' innovation expectations are better at predicting patenting.

We examine the inter-regional migration of university graduates from 1991 to 2003 in Finland. The results show that time matters: two-years before and during the graduation year the hazard rates of migration increase, and then decrease thereafter. Although university graduates are particularly mobile, we find that most of them do not move from their region of studies within 10 years after graduation. The out-migration, i.e., brain drain, is much higher among graduates in the more peripheral universities than in the growth centers (Helsinki in particular). Migration is also substantially more likely for those studying away from the home region than for those studying at home. peerReviewed