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Gender-Specific Transportation Costs and Female Time Use: Evidence from India’s Pink Slip Program

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Listed:
  • Yutong Chen
  • Kerem Coşar
  • Devaki Ghose
  • Shirish Mahendru
  • Sheetal Sekhri

Abstract

Reducing gender-specific commuting barriers in developing countries has complex and diverse effects on women’s labor dynamics. We study a program that offers free bus rides for women in several Indian states (the Pink Slip program) using a synthetic difference-in-differences approach to shed light on labor supply and time use decisions of women. We observe decreased bus expenses and time saved on travel. Skilled employed women increase labor supply, while low-skill married women shift focus to household chores. Unemployed women intensify job searches, yet overall employment rates remain unchanged. Our findings highlight that alleviating commuting costs does not uniformly boost women’s labor participation, as gender roles and societal norms continue to shape outcomes.

Suggested Citation

  • Yutong Chen & Kerem Coşar & Devaki Ghose & Shirish Mahendru & Sheetal Sekhri, 2024. "Gender-Specific Transportation Costs and Female Time Use: Evidence from India’s Pink Slip Program," NBER Working Papers 32508, National Bureau of Economic Research, Inc.
    • Handle: RePEc:nbr:nberwo:32508
    Note: DEV LS
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    1. Deshpande, Ashwini & Goel, Deepti & Khanna, Shantanu, 2018. "Bad Karma or Discrimination? Male–Female Wage Gaps Among Salaried Workers in India," World Development, Elsevier, vol. 102(C), pages 331-344.
    2. Alberto Abadie & Javier Gardeazabal, 2003. "The Economic Costs of Conflict: A Case Study of the Basque Country," American Economic Review, American Economic Association, vol. 93(1), pages 113-132, March.
    3. Bun Song Lee & John F. McDonald, 2003. "Determinants of Commuting Time and Distance for Seoul Residents: The Impact of Family Status on the Commuting of Women," Urban Studies, Urban Studies Journal Limited, vol. 40(7), pages 1283-1302, June.
    4. Goel, Manisha, 2017. "Inequality Between and Within Skill Groups: The Curious Case of India," World Development, Elsevier, vol. 93(C), pages 153-176.
    5. Asuyama, Yoko, 2012. "Skill Distribution and Comparative Advantage: A Comparison of China and India," World Development, Elsevier, vol. 40(5), pages 956-969.
    6. Phillips, David C., 2014. "Getting to work: Experimental evidence on job search and transportation costs," Labour Economics, Elsevier, vol. 29(C), pages 72-82.
    7. Patacchini, Eleonora & Zenou, Yves, 2005. "Spatial mismatch, transport mode and search decisions in England," Journal of Urban Economics, Elsevier, vol. 58(1), pages 62-90, July.
    8. Borker,Girija, 2021. "Safety First : Perceived Risk of Street Harassment and Educational Choices of Women," Policy Research Working Paper Series 9731, The World Bank.
    9. Moreno-Monroy, Ana I. & Posada, Héctor M., 2018. "The effect of commuting costs and transport subsidies on informality rates," Journal of Development Economics, Elsevier, vol. 130(C), pages 99-112.
    10. Malathy Duraisamy & P. Duraisamy, 2016. "Gender wage gap across the wage distribution in different segments of the Indian labour market, 1983–2012: exploring the glass ceiling or sticky floor phenomenon," Applied Economics, Taylor & Francis Journals, vol. 48(43), pages 4098-4111, September.
    11. Girum Abebe & Stefano Caria & Marcel Fafchamps & Paolo Falco & Simon Franklin & Simon Quinn, 2016. "Curse of Anonymity or Tyranny of Distance? The Impacts of Job-Search Support in Urban Ethiopia," NBER Working Papers 22409, National Bureau of Economic Research, Inc.
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    More about this item

    JEL classification:

    • J16 - Labor and Demographic Economics - - Demographic Economics - - - Economics of Gender; Non-labor Discrimination
    • J22 - Labor and Demographic Economics - - Demand and Supply of Labor - - - Time Allocation and Labor Supply
    • R41 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - Transportation Economics - - - Transportation: Demand, Supply, and Congestion; Travel Time; Safety and Accidents; Transportation Noise

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