A Cross-Country Analysis of the Risk Factors for Depression at the Micro and Macro Levels
Bibliographic Data
| ID | 2802284 |
|---|---|
| Authors | Natalia Melgar (0000-0001-5015-0822, Universidad de la República de Uruguay, corresponding author), M Rossi (0000-0002-4116-922X, Universidad de la República de Uruguay) |
| Year | 2012 |
| Volume | 71 |
| Issue | 2 |
| Pages | 354-376 |
| Publication date | 2012-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | American Journal of Economics and Sociology (JOURNAL) |
| Journal identifiers | ISSN: 0002-9246 • E-ISSN: 1536-7150 |
| Publisher | Wiley (PUBLISHER • GB) |
| DOI | 10.1111/j.1536-7150.2012.00831.x |
| OpenAlex | W1484669265 |
| Language | EN |
| Citations received | 3 |
| References cited | 36 |
1Past research has provided evidence of the role of some personal characteristics (age, gender, religion) as risk factors for depression. However, few researchers have jointly examined the specific impact of each characteristic and whether country characteristics (economic performance and others environmental factors) change the probability of being depressed. In general, this is due to the use of single-country databases. The aim of this article is to extend previous findings by employing a much larger dataset and including the above-mentioned country effects. We estimate probit models with country effects (model I) and we also explore linkages between specific environmental factors and depression (model II includes variables such as per capita Gross Domestic Product and the GINI index). The dataset for this research comes from the 2007 GALLUP Public Opinion Poll that allows us to consider a large and widely heterogeneous set of micro-data. Findings indicate that depression is positively related to being a woman, adulthood, divorce, widowhood, unemployment, and low income. Moreover, we provide evidence of the significant association between economic performance and depression. Inequality raises the probability of being depressed, specially for those living in urban areas. Finally, we find that some population characteristics such as age distribution and religious affiliation facilitate depression
Demographic economics · Depression (economics) · Distribution (mathematics) · Econometrics · Economic growth · Economic inequality · Economics · Gross domestic product · Index (typography) · Inequality · Macro · Macroeconomics · Ordered probit · Per capita · Per capita income · Population · Probit · Probit model · Sociology · Unemployment · Demography · Employment and Welfare Studies · Health disparities and outcomes · Intergenerational Family Dynamics and Caregiving · Mathematics · Psychology
Extending families
Socioeconomic status, depression disparities, and financial strain
Six-Month Prevalence of Psychiatric Disorders in Three Communities
Socioeconomic determinants of health
Psychiatric disorder among British children looked after by local authorities
Socioeconomic Inequalities in Depression
Sin and Self-Functioning, Part 4
Structures and Processes of Social Support
The Effects of Environmental Context on Elderly Depression
Gender and social support
Families and Economic Distress
Urban stress
Defining the City
Psychosocial functioning and depression
Religion, Intrinsic-Extrinsic Orientation, and Depression
Determinants of Youth Suicide
A Cross-Country Analysis of the Risk Factors for Depression at the Micro and Macro Levels
Linking Economic Hardship to Marital Quality and Instability
Gender, Social Status, and Emotional Reliance
Socioeconomic Status and Depression over the Life Course
Age and Depression
Gender Differences in Work and Well-Being
Gender, Multiple Roles, Role Meaning, and Mental Health
The Stress Process
There Just Aren't Enough Hours in the Day
Adult Sex Roles and Mental Illness
The Social Scientist in American Industry
Community Growth, Depressive Disorders, and Suicide
| Unique citing works | 3 |
|---|---|
| Citations per year | 0,21 |
| Citation span | 2012 - 2020 (9) |
| Citation velocity | historical |
| Highly cited | No |
| Citation types | Neutral: 3 |