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• W1977398734 startingPage "303" @default.
• W1977398734 abstract "I analyze empirically the effects of urban and industrial agglomeration on both search behavior and the efficiency of matching. The analysis is based on a unique panel data set from the Italian Labor Force Survey micro-data, covering 520 randomly drawn Local Labor Market Areas (66% of the total) over the four quarters of 2002. I compute transition probabilities from non-employment to employment by jointly estimating the probability of searching and the probability of finding a job conditional on having searched. I then test whether these are affected by market size, industrial variety and/or industry specialization. The main results indicate that market size and industry-specialization raise job seekers’ chances of finding employment (conditional on having searched), while industrial variety is not significantly different from zero. Finally, the effect of agglomeration on non-employed individuals’ search behavior cannot be significantly distinguished from zero." @default.
• W1977398734 created "2016-06-24" @default.
• W1977398734 creator A5015803899 @default.
• W1977398734 date "2011-05-01" @default.
• W1977398734 modified "2023-10-07" @default.
• W1977398734 title "Job search in thick markets" @default.
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• W1977398734 doi "https://doi.org/10.1016/j.jue.2011.01.001" @default.
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