Effects of prescription opioids on employment, earnings, marriage, disability and mortality: Evidence from state opioid control policies

被引:2
|
作者
Kaestner, Robert [1 ,2 ]
Ziedan, Engy [3 ]
机构
[1] Univ Chicago, Chicago, IL USA
[2] NBER, Cambridge, MA USA
[3] Tulane Univ, New Orleans, LA 70118 USA
关键词
Prescription opioids; Mortality; Employment; Earnings; DRUG-MONITORING PROGRAMS; CHRONIC NONCANCER PAIN; PHYSICIANS; OVERDOSE; IMPACT; REDUCTIONS;
D O I
10.1016/j.labeco.2023.102358
中图分类号
F [经济];
学科分类号
02 ;
摘要
This article presents estimates of the effects of state prescription opioid control policies on prescription opioid sales, mortality and socioeconomic outcomes of adults. Results indicate that state implementation of a "modern " Prescription Drug Monitoring Program (PDMP) is associated with decreases in opioid sales of between 5% and 20% and that pill mill laws are associated with a decrease in opioid sales of between 15% and 40%. While these policies were associated with reductions in prescription opioid sales they were not significantly associated with drug-and opioid-related mortality, although estimates consistently indicated that these policies reduced mor-tality. In the case of socioeconomic outcomes, we found consistent evidence that the adoption of a "modern " PDMP was associated with small, but statistically significant reductions in employment of 1% to 2%; small re-ductions in earnings that were not statistically significant for full sample, but were significant and larger for a low-educated sample; and similarly small, marginally significant increases in receipt of public assistance, partic-ularly for women; and a significant, but small (1%) decline in the probability of being married among females. In contrast, pill mill laws were associated with marginally significant increases in employment of 1% to 2%, but only among those ages 18 to 25; small, but insignificant increases in earnings of males of between 2% to 4%; and a significant, but small (1%) decline in the probability of being married.
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页数:32
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