Opioid mortality in the US: quantifying the direct and indirect impact of sociodemographic and socioeconomic factors
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DOI: 10.1007/s12076-023-00350-y
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- Fischer, Manfred M. & Gopal, Sucharita, 2023. "Opioid Mortality in the US: Quantifying the Direct and Indirect Impact of Sociodemographic and Socioeconomic Factors," Working Papers in Regional Science 2023/01, WU Vienna University of Economics and Business.
References listed on IDEAS
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More about this item
Keywords
Spatial Durbin panel data model; Bayesian econometrics; Markov Chain Monte Carlo; Direct (own state) effects; Indirect (cross-state spatial spillover) effects; Inferential statistics;All these keywords.
JEL classification:
- C23 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Models with Panel Data; Spatio-temporal Models
- I19 - Health, Education, and Welfare - - Health - - - Other
- O51 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - U.S.; Canada
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