Gender, Space, and the Location Changes of Jobs and People: A Spatial Simultaneous Equations Analysis

Gerke J. Hoogstra*

*Corresponding author for this work

    Research output: Contribution to journalArticleAcademicpeer-review

    8 Citations (Scopus)
    6 Downloads (Pure)

    Abstract

    This article summarizes a spatial econometric analysis of local population and employment growth in the Netherlands, with specific reference to impacts of gender and space. The simultaneous equations model used distinguishes between population- and gender-specific employment groups, and includes autoregressive and cross-regressive spatial lags to detect relations both within and among these groups. Spatial weights matrices reflecting different bands of travel times are used to calculate the spatial lags and to gauge the spatial nature of these relations. The empirical results show that although populationemployment interaction is more localized for women's employment, no gender difference exists in the direction of interaction. Employment growth for both men and women is more influenced by population growth than vice versa. The interaction within employment groups is even more important than population growth. Women's, and especially men's, local employment growth mostly benefits from the same employment growth in neighboring locations. Finally, interaction between these groups is practically absent, although men's employment growth may have a negative impact on women's employment growth within small geographic areas. In summary, the results confirm the crucial roles of gender and space, and offer important insights into possible relations within and among subgroups of jobs and people.

    Original languageEnglish
    Pages (from-to)47-64
    Number of pages18
    JournalGeographical Analysis
    Volume44
    Issue number1
    DOIs
    Publication statusPublished - Jan-2012

    Keywords

    • OCCUPATIONAL SEX SEGREGATION
    • SIMULTANEOUS SYSTEMS
    • COUNTY GROWTH
    • EMPLOYMENT
    • MOBILITY
    • MIGRATION
    • MODEL
    • DETERMINANTS
    • POPULATION
    • HOUSEHOLDS

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