Using the 1991 Census SAR in a multilevel analysis of male unemployment

M. I. Gould; E. Fieldhouse

doi:10.1068/a290611

Using the 1991 Census SAR in a multilevel analysis of male unemployment

M. I. Gould, E. Fieldhouse

Research output: Contribution to journal › Article › peer-review

Abstract

The risk of unemployment varies between individuals, between occupations and industries, and between places. The Sample of Anonymised Records drawn from the 1991 Census is used to model geographical, demographic, and socioeconomic variations in male unemployment by means of multilevel logit models. The underlying structure of the problem is such that cells in a multiway cross-tabulation of individual characteristics (level 1) are nested within places (level 2). Geographical variations in male unemployment are found even after allowing for age, marital status, ethnicity, higher education qualifications, social class, and industry.

Original language	English
Pages (from-to)	611-628
Number of pages	18
Journal	Environment and Planning A
Volume	29
Issue number	4
DOIs	https://doi.org/10.1068/a290611
Publication status	Published - 1997

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abstract = "The risk of unemployment varies between individuals, between occupations and industries, and between places. The Sample of Anonymised Records drawn from the 1991 Census is used to model geographical, demographic, and socioeconomic variations in male unemployment by means of multilevel logit models. The underlying structure of the problem is such that cells in a multiway cross-tabulation of individual characteristics (level 1) are nested within places (level 2). Geographical variations in male unemployment are found even after allowing for age, marital status, ethnicity, higher education qualifications, social class, and industry.",

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AB - The risk of unemployment varies between individuals, between occupations and industries, and between places. The Sample of Anonymised Records drawn from the 1991 Census is used to model geographical, demographic, and socioeconomic variations in male unemployment by means of multilevel logit models. The underlying structure of the problem is such that cells in a multiway cross-tabulation of individual characteristics (level 1) are nested within places (level 2). Geographical variations in male unemployment are found even after allowing for age, marital status, ethnicity, higher education qualifications, social class, and industry.

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Using the 1991 Census SAR in a multilevel analysis of male unemployment

Abstract

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