| Title |
Beauty, body size and wages: Evidence from a unique data set
|
|---|---|
| Published in |
Economics & Human Biology, February 2016
|
| DOI | 10.1016/j.ehb.2016.01.003 |
| Pubmed ID | |
| Authors | |
| Abstract |
We analyze how attractiveness rated at the start of the interview in the German General Social Survey is related to weight, height, and body mass index (BMI), separately by gender and accounting for interviewers' characteristics or fixed effects. We show that height, weight, and BMI all strongly contribute to male and female attractiveness when attractiveness is rated by opposite-sex interviewers, and that anthropometric characteristics are irrelevant to male interviewers when assessing male attractiveness. We also estimate whether, controlling for beauty, body size measures are related to hourly wages. We find that anthropometric attributes play a significant role in wage regressions in addition to attractiveness, showing that body size cannot be dismissed as a simple component of beauty. Our findings are robust to controlling for health status and accounting for selection into working. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 26% |
| United Kingdom | 5 | 16% |
| Germany | 3 | 10% |
| Netherlands | 1 | 3% |
| Canada | 1 | 3% |
| Cayman Islands | 1 | 3% |
| Unknown | 12 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 20 | 65% |
| Scientists | 5 | 16% |
| Science communicators (journalists, bloggers, editors) | 5 | 16% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| China | 1 | 2% |
| Brazil | 1 | 2% |
| Unknown | 54 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 16% |
| Student > Bachelor | 8 | 14% |
| Student > Ph. D. Student | 7 | 13% |
| Researcher | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Other | 11 | 20% |
| Unknown | 12 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 15 | 27% |
| Social Sciences | 6 | 11% |
| Psychology | 4 | 7% |
| Business, Management and Accounting | 3 | 5% |
| Medicine and Dentistry | 3 | 5% |
| Other | 9 | 16% |
| Unknown | 16 | 29% |