Race, space, and unemployment duration
By Casey J. Dawkins, Qing Shen, Thomas W Sanchez. 2005
111 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Sociology and Political Science
View Paper: https://www.semanticscholar.org/paper/4d6258011ce4f57c703f0daf4b1405b04a6d5198
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Citations in the corpus
- Understanding Neighbourhood Effects: Selection Bias and Residential Mobility (2010, background): “Some authors (e.g. Dawkins et al., 2005; Galster et al., 2007; Galster et al., 2008) find statistically significant evidence of neighbourhood effects even after controlling for selection.”
- Racial Discrimination in the Labor Market: Theory and Empirics (2012, unknown): “Dawkins, Shen, and Sanchez (2005) find, in a sample of job losers, that with no controls, black workers are unemployed for approximately 20 percent longer than white workers.”
- What Mix Matters? Exploring the Relationships between Individuals' Incomes and Different Measures of their Neighbourhood Context (2007, background): “Dawkins et al. (2005) found that the percentage of poor neighbours was more predictive for individuals’ duration of unemployment than either the percentage of secondary school dropouts or percentage of whites, although the coefficient was only statistically significant for blacks, not whites.”
- Who Is Affected by Neighbourhood Income Mix? Gender, Age, Family, Employment and Income Differences (2010, background): “Most multivariate statistical studies have analysed a wide range of individuals, but have not explored potential variations in the magnitudes of neighbourhood impacts across sub-groups (see O’Regan and Quigley, 1996; Vartanian, 1999a, 1999b; Ostendorf et al., 2001; Buck, 2001; McCulloch, 2001; Oreop”
- Job Displacement and the Duration of Joblessness: The Role of Spatial Mismatch (2017, unknown): “A closely related literature has shown that separations from a sharply contracting business are more likely to be associated with a layoff (an involuntary separation) as opposed to a quit (see Davis et al. 2012 for a summary of this literature). We are not the first to explore the role of spatial mi”