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「配偶者選択の高学歴化」の原因は何だろうか。一つの可能性としては、人々の高学歴選好の高まりも考えられる。配偶者選択において無視できないもう一つの要因は、潜在的な配偶対象者の高学歴化である。社会全体の高学歴化が進行している下で個人が結婚相手を選択する場合、本人の選好は変わっていなくても、結婚の対象となり得る異性のマーケット自体の高学歴化によって、学歴の高い配偶者を選択する確率が高まっていくだろう。

この後者の可能性の効果を見るため、表の[3]列では、マクロの性別就学年数データを個人の配偶対象者年齢分布で加重平均した「配偶相当年齢異性学歴」を作成し、説明変数に追加してみた。予想される通り、配偶相当年齢異性学歴は男女の配偶者選択を有意に説明する。本人誕生年と配偶相当年齢異性学歴をともに含めた回帰帰([4]列)では、両変数が互いの効果を打ち消し合う結果となっており、誕生年効果の相当程度は潜在的な配偶対象者全体の高学歴化を反映している可能性が高いことが分かった

What might be the cause of this “increasing level of higher education in spouse selection”? One possibility might be an increased preference among people for higher academic achievement. Thus, in the selection of a spouse, another factor that cannot be disregarded, is the increase in educational level of potential marriage partners. In an environment where progress is being made in raising the level of education in society overall, when choosing a marriage partner, even if people’s preferences have not changed, due to the increase in the educational level of the market of marriageable persons of the opposite sex itself, the probability of selecting someone with a high level of education will likely increase. In order to look at the effect of this latter possibility, for case 3 in the table we added an explanatory variable “educational level of marriageable age persons of the other sex”, which we created from macro data on years of schooling by gender by calculating an average which was weighted based on the age distribution of marriageable partners for an individual. As predicted, the educational level of marriageable age persons of the other sex significantly explained spouse selection. In case 4, when the regression included both the person’s year of birth and the educational level of marriageable age persons of the other sex, the results showed that the effects of the two variables cancelled each other out. Thus, it was highly possible that the effect deriving from the year of birth reflected the increase in the educational level of potential marriage partners overall.

What might be the cause ofcausing this “increasingincrease in educational level of higher education in spouse selection”?? One possibility mightcould be an increasedthe general rise in people’s preference among people for higher academic achievement. Thus, in the selection of a spouse, anothera factor that cannot be disregarded, is the increase in educationalthe level of education among potential marriage partners. In an environment where progressProgress is being made in raising the educational level of education in society overall, when choosing a marriage partner. In this environment, even ifwithout any change in people’s educational level preferences have not changed, due to the increaserise in the educational level of the market of marriageable persons of the opposite sex itself, the probability of selectingchoosing someone with a high level of education will likely continue to increase. In order toTo look at the effect of this latter possibility, for case 3 in the table we added ananother explanatory variable to the regression model, which we called “educational level of marriageable age persons of the other sex”, which we created from”. Using macro data on years of schooling by gender by calculating, we calculated an average which waseducational level weighted based onwith respect to the age distribution of marriageable partners for an individual. As predicted, the educational level of marriageable age persons of the other sexthis variable significantly explained spouse selection. In case 4, when the regression included both the person’sindividual’s year of birth and the educational level of marriageable age persons of the other sex, thethis new variable. The results showed that the effects of the two variables cancelled each other out. Thus, it was highly possible, strongly suggesting that the effect deriving from thean individual’s year of birth reflected the increase inmay predict the educational level of the pool of that person’s potential marriage partners overall.

What might be causing Why are people seeking those with higher this increase in educational levels as marriage partnersin spouse selection? One possibility reason could be the general rise in the tendency in people’s to preference for higher academic achievement,. Thus, with the in the selection of a spouse, a factor that cannot be disregarded is the increase in the level of education being is an important factor in the selection of a spouse among potential marriage partners. At present, Pprogress is being made in raising the overall educational level of society overall. In this environment, even without any change in people’s educational level preferences, due to the rise in the educational level of the market of marriageable persons of the opposite sex itself, the probability of choosing someone with a high level of education will likely continue to increase owing to the rise in the educational level of potential marriage partners. To test look at this possibility, for case 3 in the table, we added another explanatory variable to the regression model, which we called “educational level of marriageable age persons of the opposite other sex. to the regression model. Using macro data on years of schooling by gender, we calculated an average educational level weighted with respect to the age distribution of marriageable partners for an individual. As predicted, this variable thoroughly significantly explained spouse selection. In case 4, the regression included both the individual’s year of birth and this new variable. The results showed that the effects of the two variables cancelled each other out, strongly suggesting that an individual’s year of birth may predict the educational level of the pool of that person’s potential marriage partners.

What might be causing Why are people seeking those with higher this increase in educational levels as marriage partnersin spouse selection? One possibility reason could be the general rise in the tendency to in people’s preference for higher academic achievement,. Thus, with the in the selection of a spouse, a factor that cannot be disregarded is the increase in the level of education being is an important factor in the selection of a spouse among potential marriage partners. At present, Pprogress is being made in raising the overall educational level of society overall. In this environment, even without any change in people’s educational level preferences, due to the rise in the educational level of the market of marriageable persons of the opposite sex itself, the probability of choosing someone with a high level of education will likely continue to increase owing to the rise in the educational level of potential marriage partners. To test look at this possibility, for case 3 in the table, we added another explanatory variable to the regression model: to the regression model, which we called “educational level of marriageable age persons of the opposite other sex.. Using macro data on years of schooling by gender, we calculated an average educational level weighted with respect to the age distribution of marriageable partners for an individual. As predicted, this variable thoroughly significantly explained spouse selection. In case 4, the regression included both the individual’s year of birth and this new variable. The results showed that the effects of the two variables cancelled each other out, strongly suggesting that an individual’s year of birth may predict the educational level of the pool of that person’s potential marriage partners.

「配偶者選択の高学歴化」の原因は何だろうか。一つの可能性としては、人々の高学歴選好の高まりも考えられる。配偶者選択において無視できないもう一つの要因は、潜在的な配偶対象者の高学歴化である。社会全体の高学歴化が進行している下で個人が結婚相手を選択する場合、本人の選好は変わっていなくても、結婚の対象となり得る異性のマーケット自体の高学歴化によって、学歴の高い配偶者を選択する確率が高まっていくだろう。

この後者の可能性の効果を見るため、表の[3]列では、マクロの性別就学年数データを個人の配偶対象者年齢分布で加重平均した「配偶相当年齢異性学歴」を作成し、説明変数に追加してみた。予想される通り、配偶相当年齢異性学歴は男女の配偶者選択を有意に説明する。本人誕生年と配偶相当年齢異性学歴をともに含めた回帰帰([4]列)では、両変数が互いの効果を打ち消し合う結果となっており、誕生年効果の相当程度は潜在的な配偶対象者全体の高学歴化を反映している可能性が高いことが分かった

What might be the cause of this “increasing level of higher education in spouse selection”? One possibility might be an increased preference among people for higher academic achievement. Thus, in the selection of a spouse, another factor that cannot be disregarded, is the increase in educational level of potential marriage partners. In an environment where progress is being made in raising the level of education in society overall, when choosing a marriage partner, even if people’s preferences have not changed, due to the increase in the educational level of the market of marriageable persons of the opposite sex itself, the probability of selecting someone with a high level of education will likely increase. In order to look at the effect of this latter possibility, for case 3 in the table we added an explanatory variable “educational level of marriageable age persons of the other sex”, which we created from macro data on years of schooling by gender by calculating an average which was weighted based on the age distribution of marriageable partners for an individual. As predicted, the educational level of marriageable age persons of the other sex significantly explained spouse selection. In case 4, when the regression included both the person’s year of birth and the educational level of marriageable age persons of the other sex, the results showed that the effects of the two variables cancelled each other out. Thus, it was highly possible that the effect deriving from the year of birth reflected the increase in the educational level of potential marriage partners overall.

What might be the cause ofcausing this “increasingincrease in educational level of higher education in spouse selection”?? One possibility mightcould be an increasedthe general rise in people’s preference among people for higher academic achievement. Thus, in the selection of a spouse, anothera factor that cannot be disregarded, is the increase in educationalthe level of education among potential marriage partners. In an environment where progressProgress is being made in raising the educational level of education in society overall, when choosing a marriage partner. In this environment, even ifwithout any change in people’s educational level preferences have not changed, due to the increaserise in the educational level of the market of marriageable persons of the opposite sex itself, the probability of selectingchoosing someone with a high level of education will likely continue to increase. In order toTo look at the effect of this latter possibility, for case 3 in the table we added ananother explanatory variable to the regression model, which we called “educational level of marriageable age persons of the other sex”, which we created from”. Using macro data on years of schooling by gender by calculating, we calculated an average which waseducational level weighted based onwith respect to the age distribution of marriageable partners for an individual. As predicted, the educational level of marriageable age persons of the other sexthis variable significantly explained spouse selection. In case 4, when the regression included both the person’sindividual’s year of birth and the educational level of marriageable age persons of the other sex, thethis new variable. The results showed that the effects of the two variables cancelled each other out. Thus, it was highly possible, strongly suggesting that the effect deriving from thean individual’s year of birth reflected the increase inmay predict the educational level of the pool of that person’s potential marriage partners overall.

What might be causing people to seek those with higher this increase in educational levels as marriage partnersin spouse selection? One possibility could beis the general rise in people’s preference for higher academic achievement. Thus, in the selection of a spouse, a factor that cannot be disregarded is the increase in the level of education among potential marriage partners. Progress is being made in raising the educational level of society overall. In this environment, even without any change in people’s preferences for educational level preferences, due to the rise in the educational level of the market of marriageable persons of the opposite sex itself, the probability of choosing someone with a high level of education will is likely to continue to increase owing to the rise in the educational level of potential marriage partners. To consider look at this possibility, for case 3 in the table, we added another explanatory variable to the regression model, which we called “educational level of marriageable age persons of the opposite other sex. to the regression model.. Using macro data on years of schooling by gender, we calculated an average educational level weighted with respect to the age distribution of marriageable partners for an individual. As predicted, this variable thoroughly significantly explained spouse selection. In case 4, the regression included both the individual’s year of birth and this new variable. The results showed that the effects of the two variables cancelled each other out, strongly suggesting that an individual’s year of birth may predict the educational level of the pool of that person’s potential marriage partners.

What might be causing people to seek those with higher this increase in educational levels as marriage partnersin spouse selection? One possibility could beis the general rise in people’s preference for higher academic achievement. Thus, in thewhen selectingon of a spouse, a factor that cannot be disregarded is the increase in the level of education among potential marriage partners. Progress is being made in raising the educational level of society overall. In this environment, even without any change in people’s preferences for educational level preferences, due to the rise in the educational level of the market of marriageable persons of the opposite sex itself, the probability of choosing someone with a high level of education will is likely to continue to increase owing to the rise in the educational level of potential marriage partners. To consider look at this possibility, for case 3 in the table, we added another explanatory variable to the regression model, which we called “educational level of marriageable age persons of the opposite other sex. to the regression model.. Using macro data on years of schooling by gender, we calculated an average educational level weighted with respect to the age distribution of marriageable partners for an individual. As predicted, this variable thoroughly significantly explained spouse selection. In case 4, the regression included both the individual’s birth year of birth and this new variable. The results showed that the effects of the two variables cancelled each other out, strongly suggesting that an individual’s birth year of birth may predict the educational level of the pool of that person’s potential marriage partners.

「配偶者選択の高学歴化」の原因は何だろうか。一つの可能性としては、人々の高学歴選好の高まりも考えられる。配偶者選択において無視できないもう一つの要因は、潜在的な配偶対象者の高学歴化である。社会全体の高学歴化が進行している下で個人が結婚相手を選択する場合、本人の選好は変わっていなくても、結婚の対象となり得る異性のマーケット自体の高学歴化によって、学歴の高い配偶者を選択する確率が高まっていくだろう。

この後者の可能性の効果を見るため、表の[3]列では、マクロの性別就学年数データを個人の配偶対象者年齢分布で加重平均した「配偶相当年齢異性学歴」を作成し、説明変数に追加してみた。予想される通り、配偶相当年齢異性学歴は男女の配偶者選択を有意に説明する。本人誕生年と配偶相当年齢異性学歴をともに含めた回帰帰([4]列)では、両変数が互いの効果を打ち消し合う結果となっており、誕生年効果の相当程度は潜在的な配偶対象者全体の高学歴化を反映している可能性が高いことが分かった

What might be the cause of this “increasing level of higher education in spouse selection”? One possibility might be an increased preference among people for higher academic achievement. Thus, in the selection of a spouse, another factor that cannot be disregarded, is the increase in educational level of potential marriage partners. In an environment where progress is being made in raising the level of education in society overall, when choosing a marriage partner, even if people’s preferences have not changed, due to the increase in the educational level of the market of marriageable persons of the opposite sex itself, the probability of selecting someone with a high level of education will likely increase. In order to look at the effect of this latter possibility, for case 3 in the table we added an explanatory variable “educational level of marriageable age persons of the other sex”, which we created from macro data on years of schooling by gender by calculating an average which was weighted based on the age distribution of marriageable partners for an individual. As predicted, the educational level of marriageable age persons of the other sex significantly explained spouse selection. In case 4, when the regression included both the person’s year of birth and the educational level of marriageable age persons of the other sex, the results showed that the effects of the two variables cancelled each other out. Thus, it was highly possible that the effect deriving from the year of birth reflected the increase in the educational level of potential marriage partners overall.

What might be the cause ofcausing this “increasingincrease in educational level of higher education in spouse selection”?? One possibility mightcould be an increasedthe general rise in people’s preference among people for higher academic achievement. Thus, in the selection of a spouse, anothera factor that cannot be disregarded, is the increase in educationalthe level of education among potential marriage partners. In an environment where progressProgress is being made in raising the educational level of education in society overall, when choosing a marriage partner. In this environment, even ifwithout any change in people’s educational level preferences have not changed, due to the increaserise in the educational level of the market of marriageable persons of the opposite sex itself, the probability of selectingchoosing someone with a high level of education will likely continue to increase. In order toTo look at the effect of this latter possibility, for case 3 in the table we added ananother explanatory variable to the regression model, which we called “educational level of marriageable age persons of the other sex”, which we created from”. Using macro data on years of schooling by gender by calculating, we calculated an average which waseducational level weighted based onwith respect to the age distribution of marriageable partners for an individual. As predicted, the educational level of marriageable age persons of the other sexthis variable significantly explained spouse selection. In case 4, when the regression included both the person’sindividual’s year of birth and the educational level of marriageable age persons of the other sex, thethis new variable. The results showed that the effects of the two variables cancelled each other out. Thus, it was highly possible, strongly suggesting that the effect deriving from thean individual’s year of birth reflected the increase inmay predict the educational level of the pool of that person’s potential marriage partners overall.

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