Prescription opioid use and employment: A nationwide Finnish register study.

BACKGROUND: The secular decline in labor market participation and the concurrent increase in opioid use in many developed countries have sparked a policy debate on the possible connection between these two trends. We examined whether the use of prescription opioids was connected to labor market outcomes relating to participation, employment and unemployment among the Finnish population. METHODS: The working-age population (aged 19-64 years) living in Finland during the period 1995-2016 was used in the analyses (consisting of 67 903 701 person-year observations). Lagged values of prescription opioid use per capita were used as the exposure. Instrumental variables (IV) estimation method was used to identify causal effects, where opioid use per capita for the elderly (65-95-year-old) was used as an instrument for the opioid use per capita for the working-age population of the same gender, education and region. RESULTS: Increased opioid use led to worse labor market outcomes in the long run, with the effect size of 16 % and 20 %, compared to the standard deviation of the employment and participation rates. On the contrary, in the short run, increased opioid use had positive employment effects. CONCLUSIONS: Policymakers should take the contradictory short- and long-term effects into account while considering regulation and monitoring of opioid use. Regulating and monitoring long-term prescription opioids is crucial for reducing their negative labor market consequences.

Stature and long-term labor market outcomes: Evidence using Mendelian randomization.

We use the Young Finns Study (N=∼2000) on the measured height linked to register-based long-term labor market outcomes. The data contain six age cohorts (ages 3, 6, 9, 12, 15 and 18, in 1980) with the average age of 31.7, in 2001, and with the female share of 54.7. We find that taller people earn higher earnings according to the ordinary least squares (OLS) estimation. The OLS models show that 10cm of extra height is associated with 13% higher earnings. We use Mendelian randomization, with the genetic score as an instrumental variable (IV) for height to account for potential confounders that are related to socioeconomic background, early life conditions and parental investments, which are otherwise very difficult to fully account for when using covariates in observational studies. The IV point estimate is much lower and not statistically significant, suggesting that the OLS estimation provides an upward biased estimate for the height premium. Our results show the potential value of using genetic information to gain new insights into the determinants of long-term labor market success.

The role of job satisfaction, job dissatisfaction and demographic factors on physicians' intentions to switch work sector from public to private.

This study is based on a unique data set for the years 1988-2003 and uses structural equation models to examine the impact of job satisfaction and job dissatisfaction on physicians' intention to switch from public- to private-sector work. In Finland, physicians who work primarily in a public-hospital or health-centre setting can also run a private practice. Therefore, we also analysed the impact of having a private practice on a physician's intention to change sector. We found that private practice had a positive, statistically significant effect on the intention to switch sector in 1998 and 2003. Results also suggest that job satisfaction decreases a physician's intention to switch sector, although for 1998 it had no effect. Surprisingly, job dissatisfaction significantly increased the physicians' intentions to leave the public sector only in the 1988 data.

Factors associated with physicians' choice of working sector: a national longitudinal survey in Finland.

OBJECTIVE: To analyse factors affecting physicians' choice to work in either the public or the private sector. METHOD: We undertook a longitudinal data analysis in the years 1988, 1993, 1998 and 2003 (n = 12 909) using a multilevel modelling technique. Factors related to economic factors, physician identity, appreciation as well as demographic factors were hypothesised to influence sector choice. RESULTS: Physicians seem to make their career choices prior to graduation, at least to some extent. Wage levels, the physician's personal characteristics and whether or not the physician knew his or her place of work before graduation were the key factors affecting the decision-making process in the years 1988, 1993, 1998 and 2003. Physicians for whom wages were important were less likely to choose the public sector. Also, physicians who regarded themselves as entrepreneurial preferred to work in the private sector. If a physician had worked in the public sector during his or her medical training before graduation, the probability of applying for a vacancy in the public sector was higher. CONCLUSION: It is not only economic factors, such as salary, that are involved in the physician's decision to choose the working sector.