Working Paper: NBER ID: w31212
Authors: David G. Blanchflower; Alex Bryson
Abstract: Given recent controversies about the existence of a gender wellbeing gap we revisit the issue estimating gender differences across 55 subjective well-being metrics – 37 positive affect and 18 negative affect – contained in 8 cross-country surveys from 167 countries across the world, two US surveys covering multiple years and a survey for Canada. We find women score more highly than men on all negative affect measures and lower than men on all but three positive affect metrics, confirming a gender wellbeing gap. The gap is apparent across countries and time and is robust to the inclusion of exogenous covariates (age, age squared, time and location fixed effects). It is also robust to conditioning on a wider set of potentially endogenous variables. However, when one examines the three ‘global’ wellbeing metrics - happiness, life satisfaction and Cantril’s Ladder - women are either similar to or ‘happier’ than men. This finding is insensitive to which controls are included and varies little over time. The difference does not seem to arise from measurement or seasonality as the variables are taken from the same surveys and frequently measured in the same way. The concern here though is that this is inconsistent with objective data where men have lower life expectancy and are more likely to die from suicide, drug overdoses and other diseases. This is the true paradox – morbidity doesn’t match mortality by gender. Women say they are less cheerful and calm, more depressed, and lonely, but happier and more satisfied with their lives, than men.
Keywords: Gender; Wellbeing; Subjective Wellbeing; Mental Health
JEL Codes: I30
Edges that are evidenced by causal inference methods are in orange, and the rest are in light blue.
| Cause | Effect |
|---|---|
| Gender (J16) | Subjective Wellbeing Metrics (I31) |
| Women (J16) | Negative Affect Measures (D91) |
| Women (J16) | Positive Affect Metrics (C52) |
| Negative Affect Measures (D91) | Life Satisfaction (I31) |
| Gender Wellbeing Gap (I31) | Emotional Experiences (D91) |
| Objective Health Data (I10) | Gender Wellbeing Gap (I31) |