Search results

In this paper, we use data from the US census to document the history of the relationship between fertility choice and key economic indicators at the individual level for women born between 1826 and 1960. We find that this data suggests several new facts that should be useful for researchers trying to model fertility. (1) The reduction in fertility known as the Demographic Transition (or the Fertility Transition) seems to be much sharper based on cohort fertility measures compared to usual measures like Total Fertility Rate; (2) The baby boom was not quite as large as is suggested by some previous work; (3) We find a strong negative relationship between income and fertility for all cohorts and estimate an overall income elasticity of about −0.38 for the period; (4) We also find systematic deviations from a time invariant, iso-elastic, relationship between income and fertility. The most interesting of these is an increase in the income elasticity of demand for children for the 1876–1880 to 1906–1910 birth cohorts. This implies an increased spread in fertility by income which was followed by a dramatic compression.

Previous studies of immigrant populations suggest that ceteris paribus an immigrant's level of income is strongly and positively correlated with his proficiency in the local language. The purpose of this paper is to extend this literature using data from a telephone survey carried out in 2005 among a representative sample of Former Soviet Union (FSU) immigrants. Unlike previous surveys, the data includes responses to detailed subjective questions on degree of social involvement, in addition to the number of years since migration and level of proficiency in the local language. The authors are able to demonstrate that a higher degree of assimilation is associated with a significantly higher likelihood of finding full-time employment. Moreover, the estimation results for the wage equation reveal that the effect on income previously attributed solely to language proficiency is in fact also the result of more successful assimilation in the receiving culture. The findings thus stress the importance of assimilation in determining success in job search and in explaining variations in income among immigrants who are already employed in full-time jobs. Finally, the results obtained when differentiating according to gender show that male immigrants have better prospects of finding a job than female immigrants and higher incomes once they find one, which is consistent with the existing literature.

In order to compare the relative importance of the language proficiency variable (LANGUAGE _i ) to that of the social involvement variable (ASSIMILATION _i ), The authors apply the probit model to two separate equations. The first is the prospects of finding a job and the second is the wage equation.

–The authors are able to demonstrate that a higher degree of assimilation is associated with a significantly higher likelihood of finding full-time employment. Moreover, the estimation results for the wage equation reveal that the effect on income previously attributed solely to language proficiency is in fact also the result of more successful assimilation in the receiving culture. The findings thus stress the importance of assimilation in determining success in job search and in explaining variations in income among immigrants who are already employed in full-time jobs. Finally, the results obtained when differentiating according to gender show that male immigrants have better prospects of finding a job than female immigrants and higher incomes once they find one, which is consistent with the existing literature.

The limitation is, like all of the existing literature and in particular the few studies that deal with social networking, that the database is exclusively based on either interviews or surveys consisting of self-assessment questions (such as, Dustman, 1996; Lazear, 1999; Amuedo-Dorantes and Mundra, 2007). Consequently, the implicit assumption is that the respondent's self-perceived level of assimilation constitutes a good proxy for the true level.

The implications are the following: the findings are thus consistent with those of Lazear (1999), who anticipates a negative correlation between the relative size of a minority group and the level of proficiency in the local language. In the case of Israel, which received a massive wave of 1.5 million immigrants from the FSU, the findings indeed suggest that the chances of an immigrant job seeker finding a job are far more dependent on his degree of assimilation than his level of language proficiency. Moreover, the effect of the degree of assimilation, which has not previously been included in estimations, was mistakenly attributed to language proficiency. The findings of this research thus reveal the importance of the degree of assimilation in finding a job and can explain income differences among those who have already found full-time employment.

Previous studies of immigrant populations suggest that ceteris paribus the level of income is strongly and positively correlated with proficiency in the local language. The current study extends this literature using data from a telephone survey carried out in 2005 among a representative sample of FSU immigrants. Unlike previous surveys, the data includes responses to detailed subjective questions on degree of social involvement, in addition to the number of years since migration and level of proficiency in the local language. The authors are able to demonstrate that a higher degree of assimilation is associated with a significantly higher likelihood of finding full-time employment. Moreover, the estimation results for the wage equation reveal that the effect on income previously attributed to language proficiency is in fact the result of more successful assimilation in the receiving culture. The results are robust to gender differences. The findings thus stress the importance of assimilation in determining success in job search and in explaining variations in income among immigrants who are already employed in full-time jobs.