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A clan is a group of families that are linked by patriarchal blood relationships with one common ancestor. Clans may help members to find jobs and set up businesses through blood‐based networks, but traditional male‐biased norms may lead to different effects on employment between genders. This paper examines the causal effects of clans on the employment statuses of men and women and the gap in the effects between genders. To mitigate the endogeneity issue, we employ the potential rain‐fed rice yield as an instrumental variable to obtain consistent estimates. We find that clans have positive effects on women's probabilities of participating in the labor market and having nonfarming jobs, while the effects on men are not significant. Clans have positive effects on male entrepreneurship but no effects on female entrepreneurship. The results are robust to a host of sensitivity tests. Moreover, we find that the findings are driven mainly by small cities, and clans have larger effects on regions where private enterprises dominate. The dynamic analysis indicates that the gender gap of clan effects decreases with the development of urbanization and marketization. [ABSTRACT FROM AUTHOR]

Recent studies have found evidence of a local employment multiplier's effect. For the most part, these studies provide an average estimate for all labor markets. In this paper, we examine how the average local employment multiplier, the effect of an exogenous increase in employment in the tradable sector on total employment, depends on the characteristics of the local labor market. Specifically, we estimate the average multipliers for coastal, noncoastal, large, and small metropolitan statistical areas (MSAs) across different time periods using the data of 333 US MSAs. Overall, we find a reduced form of local employment multiplier ranging from 1.38 to 2.24, which is within the range of typically estimated local employment multipliers. In addition, the characteristics of the local labor market matter. The local multipliers appear larger in noncoastal and large MSAs. For small and coastal metros, the multiplier is closer to 1.5 than to 2.0 while in the case of large and noncoastal metros, it is closer to 2.0 than to 1.5. The local multipliers are also sensitive to the time period considered. [ABSTRACT FROM AUTHOR]

Using the PUMS files of the 2000 U.S. Census and 2005-2007 merged ACS data, we study the metropolitan destination choices made by newly arrived immigrants from seven top source countries between 2000 and 2007. Using a multinomial logit model, we find that the dispersion of new immigrant groups varies by origin, although all groups were subject to 1) the attraction of co-ethnic communities, and 2) the positive effects of labor market conditions in the destination (especially the employment growth rate). However, co-ethnic concentration is much more important than labor market conditions in the destination choice decision, particularly for the poorly educated. Conversely, there is a strong negative effect of co-ethnic concentration on highly educated new immigrants, revealing a dispersed geographical pattern of these highly educated immigrants. We also find the importance of employment share growth rate for highly educated immigrants which suggests that they are more sensitive to the upward employment structure at the destination than a specific job growth rate, and they may not be attracted by a metropolitan area with a low-quality employment structure, despite whether there was an increase in high-level jobs. [ABSTRACT FROM AUTHOR]

In the entrepreneurship literature, it is generally assumed that an individual establishes a new firm in a location in which they have strong ties, normally in the municipality of residence or employment. We scrutinise this general assumption and show that firm location depends on individual characteristics, such as the commuting experience. Our results show that commuting influences the firm location choice. The probability of establishing a firm in the work municipality increases if the entrepreneur is a commuter, holding constant the type of region and unobservable and observable individual features. [ABSTRACT FROM AUTHOR]