Explaining Spatial Disparities in Drug Overdoses, 1970-2014

Stephan Goetz and Meri Davlasheridze

No 266296, 2018 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2018, Philadelphia, Pennsylvania from Agricultural and Applied Economics Association

Abstract: We estimate a fixed effects county level panel data model to relate socioeconomic variables to opioid-related drug overdoses, which cost the nation in excess of $430bn in 2015. In addition to demographic and labor market variables we include lagged employment shares by major industry and self-employment shares, as well as cumulative counts of presidentially declared disasters. We find that rurality, as measured by lower population density, is associated with higher overdose rates. Also, for each $10,000 reduction in net income per farm, opioids overdoses rose by 10% from a national average of 10.2 deaths per 100,000 people.

Keywords: Health; Economics; and; Policy (search for similar items in EconPapers)
Pages: 27
Date: 2017-12-01
New Economics Papers: this item is included in nep-ure
References: View references in EconPapers View complete reference list from CitEc
Citations: Track citations by RSS feed

Downloads: (external link)
https://ageconsearch.umn.edu/record/266296/files/G ... pt%20to%20AgEcon.pdf (application/pdf)
https://ageconsearch.umn.edu/record/266296/files/G ... n.pdf?subformat=pdfa (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ags:assa18:266296

DOI: 10.22004/ag.econ.266296

Access Statistics for this paper

More papers in 2018 Allied Social Sciences Association (ASSA) Annual Meeting, January 5-7, 2018, Philadelphia, Pennsylvania from Agricultural and Applied Economics Association Contact information at EDIRC.
Bibliographic data for series maintained by AgEcon Search ().