However, as the figure above indicates, this gender gap varies by age. But this gap quickly reverses among those ages 30 to 34 and grows wider in older age groups.
Infidelity for both men and women increases during the middle ages. Trend data going back to the s suggests that men have always been more likely than women to cheat.
Even so, older men were no more likely to cheat than their younger peers in the past. It was lower for both men and women at the older end of the age spectrum.
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A generation or cohort effect is likely to contribute to this shifting gender gap in infidelity. As Nicholas Wolfinger noted in an earlier post , Americans born in the s and s reported the highest rates of extramarital sex, perhaps because they were the first generations to come of age during the sexual revolution.
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My analysis by gender suggests that men and women follow a slightly different age pattern when it comes to extramarital sex. Women born in the s and s are more likely than other women to be unfaithful to their spouse, and men born in the s and s have a higher rate than other age groups of men. The higher infidelity rates among these two cohorts contribute to the changing pattern in the gender gap as they grow older over time. In addition to gender and age, the infidelity rate also differs by a number of other demographic and social factors.
For example, cheating is somewhat more common among black adults.
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On the other hand, having a college degree is not linked to a higher chance of cheating. Given that many of these factors could be interrelated, I ran a regression model to test the independent effect of each factor. Basically, holding all other factors equal, will each factor still be related to the odds of cheating? It turned out that most of these differences such as age, race, party identity, religious service attendance, family background are significant, even after controlling for other factors.
However, when it comes to who is more likely to cheat, men and women share very few traits. Separate regression models by gender suggest that for men, being Republican and growing up in an intact family are not linked to a lower chance of cheating, after controlling for other factors. But race, age, and religious service attendance are still significant factors.
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By comparison, party ID, family background, and religious service attendance are still significant factors for cheating among women, while race, age, and educational attainment are not relevant factors. Infidelity is painful to the person who is being cheated on and can be detrimental to the relationship.
Men who cheated are more likely than their female peers to be married. Husbands are also more likely to engage in online cheating—using chat rooms, webcams and online services to arrange sexual encounters including prostitution.
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The more money a husband makes, the more likely he is to be unfaithful. Having more money brings more opportunity and wealth tends to attract more women also see who is likely to cheat.
A lack of sexual excitement or the routine of having sex with the same person often leads men to stray. Men are more likely to be drawn to the thrill of having sex with someone new also see Coolidge Effect. Husbands are less likely than wives to consider leaving their spouse when having an affair see will he leave his wife.
A cheating husband is more likely to have an affair with someone who is younger than his wife.
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