No abstract

Researchers have argued that neighborhoods are an important determinant of labor activity. Using confidential street address data from the NLSY79, respondents were linked to neighborhood social characteristics and measures of job proximity. A one standard deviation increase in the social characteristics of a neighborhood increases annual hours by 6.1%; a similar increase in job proximity raises hours by 4.7%. Labor market activity at the individual level is positively related to labor market activity of neighbors. But employment is not the only neighborhood characteristic that matters. Being in a disadvantaged neighborhood, as measured by a variety of characteristics, reduces market work. Social interactions have non-linear effects with the greatest impact in the worst neighborhoods. Social interactions are also more important for less educated workers. Estimates that do not account for neighborhood selection on the basis of time-invariant and time-varying unobserved individual characteristics substantially overstate the social effects of neighborhoods but understate the effects of job access.

Using data from the National Longitudinal Survey of Youth 1979, this study examines the pattern of early career job mobility and migration in a sample of young male workers. Primary interest lies in the between-job wage change accompanying job transitions as well as the extended time-profile of migrant earnings. When the sample of job transitions is partitioned by education level, contemporaneous returns are found only for workers with twelve or less years of completed schooling. In contrast, highly educated workers demonstrate significant extended returns to migration with the bulk of pecuniary rewards accruing with a lag of nearly two years. Copyright Blackwell Publishing, Inc. 2003

Existing literature demonstrates a positive relationship between advertising and subsequent mutual fund flows. While this relationship is hardly unexpected, it has only been addressed in a limited fashion. This work seeks to explore the issue in greater depth by examining both fixed income and equity funds, by separating load and no-load funds, and by using a richer empirical model. Our findings support the accepted relationship in general, but indicate that the response by investors differs between fund types (equity vs. fixed income) and the direct (no-load) and broker-sold (load) markets. Finally, we provide evidence that earlier findings are contingent upon the sample of funds selected as well as the empirical specification.

Job search, Job matching, Urban labor markets, Coordination hypothesis, J0, J62, R0, R23,