Authors: Marina Adshade
As we have seen, women who have little reason to believe that they will eventually marry are more likely to engage in riskier sexual behavior. This response to poor marriage prospects explains, in part, the high teen pregnancy and STD rates among economically marginalized women.
None of this really is news, but rather it is a lead-up to a prediction I would like to make as to how social norms will evolve in the future as an indirect result of the growing educational divide.
The very recent increase in the willingness of well-educated women to marry men who are less educated, younger, and/or have lower incomes than themselves is encouraging social norms to rapidly evolve along the same lines that social norms changed during the sexual revolution. This change in social norms, which has resulted directly from the changes in university enrollment, has the potential to revolutionize male/female relationships and will challenge traditional societal views of masculinity and femininity.
But while educated women are becoming liberated to marry whomever they please, those same forces will essentially disenfranchise less-educated women from the marriage market and, potentially, push more children into poverty.
One of the solutions is, of course, to allow wealthy men to take more than one wifeâthat is, institutionalize polygamy.
I have argued that male income inequality encourages polygamy while female educational inequality encourages monogamy, so this suggestion that polygamy is the solution to growing female educational inequality is counterintuitive. But the claim that female inequality encourages monogamy depends on the assumption that educated women are a relatively scarce resource, which is no longer true. That suggests that, over time, having multiple educated wives will become “affordable” by wealthy men.
Educating women in underindustrialized nations should discourage polygamy, but educating women at much higher rates than men just might encourage a movement in support of institutionalization of polygamy in industrialized nations.
One final implication of this story is that the growing educational divide will contribute to the growing divide in household incomes of the rich and the poor. This is because while women may be better educated, men tend to be better paid than women at higher levels of education. As a result, households in which the wife is better educated than her husband will generally have a significantly higher income than households in which the wife is less educated than her husband because the former household will have two high-income earners.
As more and more households are of the first varietyâthose in which the wife is better educated than her husbandâthe already wide gap between the rich and the poor households will widen even further.
I have argued that almost every option, every decision, and every outcome in matters of sex and love is better understood by thinking within an economic framework. Whether or not you have been convinced of that, I hope that the stories that I have told hereâfictional, empirical, and theoreticalâhave persuaded you that we are all, throughout our lives, playing on our own markets for sex and love. When all is said and done, though, I hope
that when your market clears, you have found a buyer who greatly exceeds your reservation value for a mate. After all, I'm nothing if not a romantic at heart.
Since we have been talking about macroeconomic variables, I thought I'd conclude with an idea that was suggested to me by a group of enthusiastic students in my Economics of Sex and Love class. This idea is not about how macroeconomic variables can influence sexual behavior but rather how sexual behavior can help us better understand macroeconomic variables.
You may have heard of the Big Mac Index that is produced annually by
The Economist
magazine. The point of that index is to make exchange rate theory more palatable to readers by giving a real-world example of how well
purchasing power parity
âthe theory that exchange rates adjust to make the level of goods and services that can be purchased with a unit of currency equal between countriesâholds around the world.
The Economist
does this by comparing the price of a uniform, tradable goodâa Big Macâin about 120 different countries. The idea is that by converting the foreign price of a Big Mac into U.S. dollars, we should be able to determine if a country's currency is either over- or undervalued relative to the U.S. dollar.
Okay, so here is the big idea: the Blow Job Index.
Blow jobs are, I assume, a fairly uniform service, and they have to be at least as tradable as a Big Mac. After all, I am certain that sex workers cross borders looking for higher wages more frequently than do McDonald's workers. And, while tourists may eat at McDonald's when visiting a foreign country, they don't exactly flock to the countries where they can find the cheapest Big Mac; sex tourists vastly outnumber Big Mac tourists. These two factors, one supply and the other demand, should make the price of a blow job at least as internationally competitive as the price of a Big Mac.
I have no evidence as of yet, but I think that if we created this index, we would find that the prices charged for this uniform service do not converge between countries. There may be only one input in the production of a blow job, the sex worker, but numerous other factors contribute to how expensive a blow job is in one country relative to another.
For example, social norms around casual sex should influence the market price of a blow job, so we would need to correct for prices in cities where casual sex is freely available. Marriage institutions also play a role, so we would need to correct for prices in a polygamous societies. And when women outnumber men. And when foreign wives can be easily imported. And when Internet technology reduces blow-job search costs.
You get the idea. Many of the economic conditions that influence the informal markets for sex and love we have been discussing all along also influence another market for sexâone in which value is more easily measuredâthe sex trades.
Perhaps this is a discussion we can have another day.
Abma, Joyce C., Gladys M. Martinez, and Casey E. Copen.
“Teenagers in the United States: Sexual Activity, Contraceptive Use, and Childbearing, National Survey of Family Growth 2006-2008.”
Vital and Health Statistics
23, no. 30 (2010): 1â47.
Adshade, Marina E., and Brooks A. Kaiser.
“The Origins of the Institutions of Marriage.” Queen's University, Department of Economics, Working Paper no. 1180, 2012.
Alan Guttmacher Institute.
“U.S. Teenage Pregnancies, Births and Abortions: National and State Trends and Trends by Race and Ethnicity.”
www.guttmacher.org
, (January 2010).
Alterovitz, Sheyna Sears-Roberts, and Gerald A. Mendelsohn.
“Partner Preferences across the Life Span: Online Dating by Older Adults.”
Psychology and Aging
24, no. 2 (2009): 513.
Alvergne, Alexandra, and Virpi Lummaa.
“Does the Contraceptive Pill Alter Mate Choice in Humans?”
Trends in Ecology & Evolution
25, no. 3 (2010): 171â179.
American Society of Plastic Surgeons.
“Plastic Surgery Rebounds Along with Recovering Economy.”
www.plasticsurgery.org
, 2011.
Anik, Lalin, and Michael I. Norton.
“The Happiness of Matchmaking.” Unpublished manuscript, 2011.
Arcidiacono, Peter, Ahmed Khwaja, and Lijing Ouyang.
“Habit Persistence and Teen Sex: Could Increased Access to Contraception Have Unintended Consequences for Teen Pregnancies?” Unpublished manuscript, 2007.
Arcidiacono, Peter, Andrew W. Beauchamp, and Marjorie B. McElroy.
“Terms of Endearment: An Equilibrium Model of Sex and Matching.” National Bureau of Economic Research Working Paper no. 16517, 2010.
Ariely, Dan, and George Loewenstein.
“The Heat of the Moment: The Effect of Sexual Arousal on Sexual Decision Making.”
Journal of Behavioral Decision Making
19, no. 2 (2006): 87â98.
Banerjee, Abhijit, Esther Duflo, Maitreesh Ghatak, and Jeanne Lafortune.
“Marry for What? Caste and Mate Selection in Modern India.” National Bureau of Economic Research Working Paper no. 14958, 2009.
Baumeister, Roy F., and Juan P. Mendoza.
“Cultural Variations in the Sexual Marketplace: Gender Equality Correlates with More Sexual Activity.”
The Journal of Social Psychology
151, no. 3 (2011): 350â360.
Baunach, Dawn Michelle.
“Decomposing Trends in Attitudes Toward Gay Marriage, 1988â2006.”
Social Science Quarterly
, 92, no. 2 (2011): 346â363.
Beach, Frank A., and Lisbeth Jordan.
“Sexual Exhaustion and Recovery in the Male Rat.”
Quarterly Journal of Experimental Psychology
8, no. 3 (1956): 121â133.
Becker, Gary S.
A Treatise on the Family
. Cambridge, MA: Harvard University Press, 1991.
Belot, Michèle, and Jan Fidrmuc.
“Anthropometry of Love: Height and Gender Asymmetries in Interethnic Marriages.”
Economics & Human Biology
8, no. 3 (2010): 361â372.
Bertocchi, Graziella, Marianna Brunetti, and Costanza Torricelli.
“Marriage and Other Risky Assets: A Portfolio Approach.”
Journal of Banking & Finance
35, no. 11 (2011): 2902â2915.
Blanchflower, David G., and Andrew J. Oswald.
“Money, Sex, and Happiness: An Empirical Study.”
Scandinavian Journal of Economics
106, no. 3 (2004): 393â415.
Brooks, Taggert J.
“In Da Club: An Econometric Analysis of Strip Club Patrons.” Unpublished manuscript, 2007.
Brown, Heather.
“Marriage, BMI and Wages: A Double Selection Approach.”
Scottish Journal of Political Economy
58, no. 3 (2011): 347â377.
Bruze, Gustaf.
“Marriage Choices of Movie Stars: Does Spouse's Education Matter?”
Journal of Human Capital
5, no. 1 (2011): 1â28.
Buss, David M.
The Dangerous Passion: Why Jealousy Is as Necessary as Love and Sex
. New York: The Free Press, 2000.
Cameron, Samuel.
“The Economic Model of Divorce: The Neglected Role of Search and Specific Capital Formation.”
Journal of Socio-economics
32, no. 3 (2003): 303â316.
âââ.
“The Economics of Partner Out Trading in Sexual Markets.”
Journal of Bioeconomics
4, no. 3 (2002): 195â222.
Card, David, and Laura Giuliano.
“Peer Effects and Multiple Equilibria in the Risky Behavior of Friends.” National Bureau of Economic Research Working Paper no. 17088, 2011.
Center for Sexual Health Promotion.
National Survey of Sexual Health and Behavior (NSSHB)
,
www.nationalsexstudy.indiana.edu
, 2012.
Central Intelligence Agency.
CIA World Factbook
,
www.cia.gov/library/publications/the-world-factbook
. Washington: Central Intelligence Agency, 2012.
Charles, Kerwin K., Erik Hurst, and Alexandra Killewald.
“Marital Sorting and Parental Wealth.” National Bureau of Economic Research Working Paper no. 16748, 2011.
Charles, Kerwin K., and Ming Ching Luoh.
“Male Incarceration, the Marriage Market, and Female Outcomes.”
The Review of Economics and Statistics
92, no. 3 (2010): 614â627.
Chesson, Harrell, Paul Harrison, and William Kassler.
“Sex under the Influence: The Effect of Alcohol Policy on Sexually Transmitted Disease Rates in the United States.”
Journal of Law and Economics
43, no. 1 (2000): 215â238.
Chu, Simon, Danielle Farr, John E. Lycett, and Luna Muñoz.
“Interpersonal Trust and Market Value Moderates the Bias in Women's Preferences Away from Attractive High-Status Men.”
Personality and Individual Differences
51, no. 2 (2011): 143â147.
Coleman, Martin D.
“Sunk Cost and Commitment to Dates Arranged Online.”
Current Psychology
28, no. 1 (2009): 45â54.
Coles, Martin G., and Marco Francesconi.
“On the Emergence of Toy-boys: The Timing of Marriage with Aging and Uncertain Careers.”
International Economic Review
52, no. 3 (2011): 825â853.
Cowan, Benjamin W.
“Forward-Thinking Teens: The Effects of College Costs on Adolescent Risky Behavior.”
Economics of Education Review
23 (2011): 133â141.
Cox, Donald.
“The Evolutionary Biology and Economics of Sexual Behavior and Infidelity.” Unpublished manuscript, 2009.
Daneshvary, Nasser, Jeffrey Waddoups, and Bradley S. Wimmer.
“Previous Marriage and the Lesbian Wage Premium.”
Industrial Relations: A Journal of Economy and Society
48, no. 3 (2009): 432â453.