Ratio of Female to Male Suicide Rates

Poster Number

20B

Lead Author Major

Political Science & Economics

Lead Author Status

Senior

Format

Poster Presentation

Faculty Mentor Name

William Herrin

Faculty Mentor Department

Economic Department

Abstract/Artist Statement

Understanding the risk factors for suicide across countries is essential to knowing that it can be prevented and should be looked at as more of a public health problem. There is also evidence of substantial differences among male and female suicide rates across countries.This research focuses on the ratio of female to male suicide rates and attempts to identify factors that affect it. Suicide rates vary worldwide because the effects of factors like mental health problems and financial stress can greatly differ across countries. Fixed effects regression models are used on a panel data set containing a large cross section of countries over a number of years in an attempt to identify where, and why, females may be more at risk. Country fixed effects can isolate many unmeasurable factors that affect this suicide rate ratio. This allows for better estimates of the impact of mental health and financial factors while also shedding light on which countries have larger effects on the ratio.

Location

Information Commons, William Knox Holt Memorial Library and Learning Center

Start Date

29-4-2023 10:00 AM

End Date

29-4-2023 1:00 PM

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Apr 29th, 10:00 AM Apr 29th, 1:00 PM

Ratio of Female to Male Suicide Rates

Information Commons, William Knox Holt Memorial Library and Learning Center

Understanding the risk factors for suicide across countries is essential to knowing that it can be prevented and should be looked at as more of a public health problem. There is also evidence of substantial differences among male and female suicide rates across countries.This research focuses on the ratio of female to male suicide rates and attempts to identify factors that affect it. Suicide rates vary worldwide because the effects of factors like mental health problems and financial stress can greatly differ across countries. Fixed effects regression models are used on a panel data set containing a large cross section of countries over a number of years in an attempt to identify where, and why, females may be more at risk. Country fixed effects can isolate many unmeasurable factors that affect this suicide rate ratio. This allows for better estimates of the impact of mental health and financial factors while also shedding light on which countries have larger effects on the ratio.