Blanchflower, David G
2020-07-14T14:25:20Z
2020-07-14T14:25:20Z
2020
0167-2681
https://www.sciencedirect.com/science/article/pii/S0167268120301414?via%3Dihub
http://hdl.handle.net/20.500.12010/10475
28 páginas
application/pdf
Science Direct
reponame:Expeditio Repositorio Institucional UJTL
instname:Universidad de Bogotá Jorge Tadeo Lozano
Salud mental
Unhappiness and age
Artículo
Síndrome respiratorio agudo grave
COVID-19
SARS-CoV-2
Coronavirus
info:eu-repo/semantics/openAccess
info:eu-repo/semantics/acceptedVersion
Depression
Mortality
Pain
Suicide
Drug poisonings
https://doi.org/10.1016/j.jebo.2020.04.022
I examine the relationship between unhappiness and age using data from eight well-being data files on nearly 14 million respondents across forty European countries and the United States and 168 countries from the Gallup World Poll. I use twenty different individual characterizations of unhappiness including many not good mental health days; anxiety; worry; loneliness; sadness; stress; pain; strain, depression and bad nerves; phobias and panic; being downhearted; having restless sleep; losing confidence in oneself; not being able to overcome difficulties; being under strain; being unhappy; feeling a failure; feeling left out; feeling tense; and thinking of yourself as a worthless person. I also analyze responses to a further general attitudinal measure regarding whether the situation in the respondent’s country is getting worse. Responses to all these unhappiness questions show a, ceteris paribus, hill shape in age, with controls and many also do so with limited controls for time and country. Unhappiness is hill-shaped in age and the average age where the maximum occurs is 49 with or without controls. There is an unhappiness curve.