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Spatial Monopsony and Regional Differences in the Gender Pay Gap

In: Monopsonistic Labour Markets and the Gender Pay Gap

Author

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  • Boris Hirsch

    (Friedrich-Alexander-Universität Erlangen-Nürnberg)

Abstract

While most of the empirical literature on the gender pay gap focusses on the variation of the gender pay gap between countries and its evolution over time, an aspect that has attracted far less attention is the regional variation of the gap within the same country. Though many studies use regional information as control variables in the estimations, only few explicitly deal with the gap’s regional dimension.2 However, to our knowledge, there has been made no attempt to systematically investigate regional differences in the gender pay gap and their evolution over time. What is more, there seems to be no economic theory around that readily explains why there should be such differences. We intend to remove both of these omissions.

Suggested Citation

  • Boris Hirsch, 2010. "Spatial Monopsony and Regional Differences in the Gender Pay Gap," Lecture Notes in Economics and Mathematical Systems, in: Monopsonistic Labour Markets and the Gender Pay Gap, chapter 0, pages 113-130, Springer.
    • Handle: RePEc:spr:lnechp:978-3-642-10409-1_6
    DOI: 10.1007/978-3-642-10409-1_6
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    Cited by:

    1. Xinxin Ma, 2022. "Internet use and gender wage gap: evidence from China," Journal for Labour Market Research, Springer;Institute for Employment Research/ Institut für Arbeitsmarkt- und Berufsforschung (IAB), vol. 56(1), pages 1-17, December.
    2. Beblo, Miriam & Ohlert, Clemens & Wolf, Elke, 2011. "Logib-D und die Entgeltunterschiede zwischen Männern und Frauen in deutschen Betrieben : eine Abschätzung des politischen Handlungsfeldes (Logib-D and the gender pay gaps in German establishments : an," Zeitschrift für ArbeitsmarktForschung - Journal for Labour Market Research, Institut für Arbeitsmarkt- und Berufsforschung (IAB), Nürnberg [Institute for Employment Research, Nuremberg, Germany], vol. 44(1/2), pages 43-52.

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