ellisp / international-crime-stats Goto Github PK

The Small Arms Survey 2007, chapter 2 has an Annex with national level data. It includes three columns which should be consistent:

• Population 2005
• Total firearms
• Firearms per 100 people

But they are not. Problems include:

• Some of the population numbers are very wrong.
• Some of the "Firearms per 100 people" numbers aren't equal to TotalFirearms / Population * 100, with either the original Population numbers and/or the corrected ones

We wrote to the publishers on 1 January 2017 asking for a response, noting we intend to blog about the data in a week or so.

Income_Inequality_Unemployment_and_Suicide_A_Panel_Data_Analysis_of_15_European_Countries
https://www.researchgate.net/publication/24075635_Income_Inequality_Unemployment_and_Suicide_A_Panel_Data_Analysis_of_15_European_Countries

economic determinants of suicide rates
http://oldweb.sbc.edu/sites/default/files/Honors/CRoden.pdf

IS THE EFFECT OF INCOME ON THE SUICIDE RATE ALWAYS NEGATIVE? A TEST OF BARNES’ THEORY
http://www.diva-portal.org/smash/get/diva2:686081/FULLTEXT01.pdf

Relationship of suicide rates to economic variables in Europe: 2000-2011
http://bjp.rcpsych.org/content/205/6/486

NZ research docs from early 2000s on suicide rates (there are others that are not linked here)
suicideratesinnewzealand.docx
suicidetrendsandsocialfactors.docx
explainingpatternsofsuicide.pdf

high homicide rates in middle income countries could be explained by these countries being a process of disruptive social transition - alongside high inequality. expressed in more violence against others, crime etc

high suicide rates in high income countries with relatively low inequality could be explained by socially disruptive structural and competitive factors being internalised into self-blaming, anxiety, depression among groups of people (eg young people, structurally unemployed blue collar workers or farmers) who are not meeting their (socially derived) expectations of themselves. eg could include factors explored in fertility research eg education by gender, proxies like marriage

need to investigate/theorise on what kind of relationship these factors have in low income, high inequality countries...

can we verify or find definitive reason for removing

human development index - probably availalbe from WDI

the WHO API only gives data for 2012. Is there a better source?