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Measuring risk aversion among the urban poor in Kolkata, India

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  • Joseph Cook
  • Susmita Chatterjee
  • Dipika Sur
  • Dale Whittington

Abstract

We examine risk preferences in an urban setting in a low-income developing country with nonstudent subjects by adapting the experimental approach of Holt and Laury (HL; 2002). We conducted 22 group experiments with 404 participants and used in-kind payoffs. The average respondent was ‘risk-averse’ (the midpoint of Constant Relative Risk Aversion (CRRA) intervals among participants was 0.53, roughly in line with most similar studies in poor countries). Like most other studies, we find weak correlations between risk aversion and most socio-economic characteristics. Importantly, a sizeable minority had difficulty understanding the experiment, and participants were influenced by the context in which the experiments occurred (these problems are not unique to our study). Our article adds to a growing literature that suggests that risk aversion elicitation approaches are sensitive to context and cognitive abilities of participants.

Suggested Citation

  • Joseph Cook & Susmita Chatterjee & Dipika Sur & Dale Whittington, 2013. "Measuring risk aversion among the urban poor in Kolkata, India," Applied Economics Letters, Taylor & Francis Journals, vol. 20(1), pages 1-9, January.
  • Handle: RePEc:taf:apeclt:v:20:y:2013:i:1:p:1-9
    DOI: 10.1080/13504851.2011.644235
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    References listed on IDEAS

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    Cited by:

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    2. Utteeyo Dasgupta & Subha Mani & Smriti Sharma & Saurabh Singhal, 2016. "Eliciting risk preferences: Firefighting in the field," WIDER Working Paper Series wp-2016-47, World Institute for Development Economic Research (UNU-WIDER).
    3. Suder, Gabriele & Liesch, Peter W. & Inomata, Satoshi & Mihailova, Irina & Meng, Bo, 2015. "The evolving geography of production hubs and regional value chains across East Asia: Trade in value-added," Journal of World Business, Elsevier, vol. 50(3), pages 404-416.
    4. Archana Dang, 2020. "Role of Time Preferences in Explaining the Burden of Malnutrition: Evidence from Urban India," Working papers 309, Centre for Development Economics, Delhi School of Economics.
    5. Dasgupta, Utteeyo & Mani, Subha & Sharma, Smriti & Singhal, Saurabh, 2016. "Eliciting Risk Preferences: Firefighting in the Field," IZA Discussion Papers 9765, Institute of Labor Economics (IZA).
    6. Archana Dang, 2023. "Time preferences and obesity: Evidence from urban India," Agricultural Economics, International Association of Agricultural Economists, vol. 54(4), pages 487-514, July.
    7. Bergstrom, Katy & Dodds, William, 2023. "Using schooling decisions to estimate the elasticity of marginal utility of consumption," Journal of Public Economics, Elsevier, vol. 224(C).
    8. Goytom Abraha Kahsay & Workineh Asmare Kassie & Haileselassie Medhin & Lars Gårn Hansen, 2022. "Are religious farmers more risk taking? Empirical evidence from Ethiopia," Agricultural Economics, International Association of Agricultural Economists, vol. 53(4), pages 617-632, July.
    9. Etelvina Stefani Chavez & Gastón Milanesi & Gabriela Pesce, 2021. "Aversión al riesgo implícita en los precios de mercado de diferentes activos financieros de Argentina," Remef - Revista Mexicana de Economía y Finanzas Nueva Época REMEF (The Mexican Journal of Economics and Finance), Instituto Mexicano de Ejecutivos de Finanzas, IMEF, vol. 16(1), pages 1-23, Enero - M.

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