Voting patterns and the gender wage gap
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DOI: 10.1016/j.jebo.2017.12.027
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- Adnan, Wifag & Miaari, Sami H., 2018. "Voting Patterns and the Gender Wage Gap," IZA Discussion Papers 11261, Institute of Labor Economics (IZA).
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Cited by:
- Madhurima Basu & Anubha Shekhar Sinha, 2021. "The Glass-Ceiling Phenomenon: A Literature Review and Research AgendaAbstract: In a patriarchal society with values that are mostly male-dominated, it is indeed difficult for a woman to secure a deser," Working papers 425, Indian Institute of Management Kozhikode.
- Miaari, Sami H. & Loewenthal, Amit & Adnan, Wifag, 2022. "Do Economic Changes Affect the Political Preferences of Arabs in Israel?," IZA Discussion Papers 14988, Institute of Labor Economics (IZA).
- Marisetty, Vijaya Bhaskar & Prasad, Salu, 2022. "On the side effects of mandatory gender diversity laws in corporate boards," Pacific-Basin Finance Journal, Elsevier, vol. 73(C).
- Neschen, Albena & Hügelschäfer, Sabine, 2021. "Gender bias in performance evaluations: The impact of gender quotas," Journal of Economic Psychology, Elsevier, vol. 85(C).
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More about this item
Keywords
Gender wage gap; Voting behavior; Glass ceiling; Glass door; Social attitudes; Discrimination;All these keywords.
JEL classification:
- J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure
- J31 - Labor and Demographic Economics - - Wages, Compensation, and Labor Costs - - - Wage Level and Structure; Wage Differentials
- J61 - Labor and Demographic Economics - - Mobility, Unemployment, Vacancies, and Immigrant Workers - - - Geographic Labor Mobility; Immigrant Workers
- J45 - Labor and Demographic Economics - - Particular Labor Markets - - - Public Sector Labor Markets
- C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
- C24 - Mathematical and Quantitative Methods - - Single Equation Models; Single Variables - - - Truncated and Censored Models; Switching Regression Models; Threshold Regression Models
Statistics
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