| Title |
Patterns of Racial and Educational Assortative Mating in Brazil
|
|---|---|
| Published in |
Demography, May 2014
|
| DOI | 10.1007/s13524-014-0300-2 |
| Pubmed ID | |
| Authors |
Aaron Gullickson, Florencia Torche |
| Abstract |
Exchange of racial for educational status has been documented for black/white marriages in the United States. Exchange may be an idiosyncratic feature of U.S. society, resulting from unusually strong racial boundaries historically developed there. We examine status exchange across racial lines in Brazil. In contrast to the United States, Brazil features greater fluidity of racial boundaries and a middle tier of "brown" individuals. If exchange is contingent on strong racial boundaries, it should be weak or non-existent in Brazilian society. Contrary to this expectation, we find strong evidence of status exchange. However, this pattern results from a generalized penalty for darkness, which induces a negative association between higher education and marrying darker spouses ("market exchange") rather than from a direct trading of resources by partners ("dyadic exchange"). The substantive and methodological distinction between market and dyadic exchange helps clarify and integrate prior findings in the status exchange literature. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Croatia | 1 | 2% |
| France | 1 | 2% |
| Belgium | 1 | 2% |
| Unknown | 45 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 41% |
| Student > Master | 7 | 14% |
| Researcher | 5 | 10% |
| Professor | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 5 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 35 | 69% |
| Economics, Econometrics and Finance | 5 | 10% |
| Agricultural and Biological Sciences | 2 | 4% |
| Arts and Humanities | 1 | 2% |
| Business, Management and Accounting | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 6 | 12% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 14 February 2019.
All research outputs
#3,593,248
of 25,416,581 outputs
Outputs from Demography
#816
of 1,994 outputs
Outputs of similar age
#34,618
of 241,875 outputs
Outputs of similar age from Demography
#8
of 19 outputs
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