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The asymmetric role of crime in women's and men's labour force participation: Evidence from India

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  • Mishra, Ankita
  • Mishra, Vinod
  • Parasnis, Jaai

Abstract

Increased crime incidents, particularly crime against women, raise security concerns and increase the non-pecuniary cost of travelling, thus deterring women from working away from their dwelling. This raises the possibility that if crime reduces women's labour force participation, men may compensate for the loss of income by increasing their participation in the labour force. Therefore, an increase in crime can explain and exacerbate the existing gender gaps in labour force participation. We investigated the possible asymmetric impact of crime on the labour force participation rates of men and women in India. We combined labour market data from NSS surveys on employment and unemployment and crime statistics from the National Crime Records Bureau for a panel of India's 571 districts from 2000 to 2012. We found that men's labour force participation increased or remained unimpacted by an increase in crime, while an increase in crime decreased women's labour force participation, especially in work away from their residence. These contrasting effects of crime on labour force participation rates are robust to fixed and between effects across districts, the dynamic nature of the relationship between variables, and heterogeneity in the data.

Suggested Citation

  • Mishra, Ankita & Mishra, Vinod & Parasnis, Jaai, 2021. "The asymmetric role of crime in women's and men's labour force participation: Evidence from India," Journal of Economic Behavior & Organization, Elsevier, vol. 188(C), pages 933-961.
    • Handle: RePEc:eee:jeborg:v:188:y:2021:i:c:p:933-961
    DOI: 10.1016/j.jebo.2021.06.015
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    1. Amin,Mohammad & Islam,Asif Mohammed, 2022. "The Impact of Paid Maternity Leave on Women’s Employment : Evidence Using Firm-LevelSurvey Data from Developing Countries," Policy Research Working Paper Series 10188, The World Bank.

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    More about this item

    Keywords

    Crime; India; Labour force participation rates; Gender gaps;
    All these keywords.

    JEL classification:

    • C33 - Mathematical and Quantitative Methods - - Multiple or Simultaneous Equation Models; Multiple Variables - - - Models with Panel Data; Spatio-temporal Models
    • E24 - Macroeconomics and Monetary Economics - - Consumption, Saving, Production, Employment, and Investment - - - Employment; Unemployment; Wages; Intergenerational Income Distribution; Aggregate Human Capital; Aggregate Labor Productivity
    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J21 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Labor Force and Employment, Size, and Structure

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