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Using Becker's ‘taste for discrimination’ model, the chapter analyzes the current legislation against wage discrimination and finds it counterproductive. Using a costly apparatus of auditing, detecting and fining violators does not deliver results. If a fine is levied on discriminators and reimbursed to the disadvantaged workers in order to undo the discrimination, it affects equally the demand for and the supply of those workers, because their expected wage includes the fine, and has no real effect. If the fine is collected and kept by the government, it shifts employment away from the workers it seeks to help, to others, depressing the total employment. In contrast, levying a tax on the favored workers effectively curbs discrimination in the labor market. A quota is a possible substitute for a tax with questionable side effects. Affirmative action is in essence a sort of tax on employing favored workers, only administered in an indirect, clumsy and costly way. Yet, the chapter explains its humble impact in the right direction. An explicit and direct tax would do much more and with a negative cost. Alternatively, subsidizing the disfavored workers is a costly but as effective policy that, in addition, boosts total employment.

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.

Recent economic recession has highlighted the role of labour market flexibility as a key factor of competitiveness of a country. Despite the fact that labour mobility can essentially be seen as part of labour market flexibility, there is notable research gap concerning spatial mobility and other facets of labour market flexibility. The purpose of this special issue is to fill these gaps.

The papers in the special issue represent various quantitative methods and databases, whereas mainly micro data (workplace, labour force or immigrant surveys, job search portal, etc.) is used. However, the type of labour market flexibility addressed is both micro- and macro-level.

It is demonstrated that labour occupational mobility is determined by the business cycle, numerical flexibility, occupational categories, and sector. Spatial mobility may have counterintuitive effects on individual occupational mobility depending on gender and it is related to various flexibilities in the workplace. It is also suggested that different types of flexibilities on a firm level are interdependent of each other.

The special issue adds to the labour market related knowledge by integrating labour market flexibility and mobility. Individually, both phenomena have been studied before, but not much research is devoted to their inter-linkages. The special issue also contributes by examining labour market flexibility and spatial mobility in the context of different countries, economic cycles, and institutional settings.