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Risky Choices and Solidarity: Why Experimental Design Matters

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  • Conny Wunsch
  • Renate Strobl

Abstract

Negative income shocks can either be the consequence of risky choices or random events. A growing literature analyzes the role of responsibility for neediness for informal financial support of individuals facing negative income shocks based on randomized experiments. In this paper, we show that studying this question involves a number of challenges that existing studies either have not been aware of, or have been unable to address satisfactorily. We show that the average effect of free choice of risk on sharing, i.e. the comparison of mean sharing across randomized treatments, is not informative about the behavioural effects and that it is not possible to ensure by the experimental design that the average treatment effect equals the behavioural effect. Instead, isolating the behavioural effect requires conditioning on risk exposure. We show that a design that measures subjects preferred level of risk in all treatments allows isolating this effect without additional assumptions. Another advantage of our design is that it allows disentangling changes in giving behaviour due to attributions of responsibility for neediness from other explanations. We implement our design in a lab experiment we conducted with slum dwellers in Nairobi that measures subjects’ transfers to a worse-off partner both in a setting where participants could either deliberately choose or were randomly assigned to a safe or a risky project. We find that free choice matters for giving and that the effects depend on donors’ risk preferences but that attributions of responsibility play a negligible role in this context.

Suggested Citation

  • Conny Wunsch & Renate Strobl, 2018. "Risky Choices and Solidarity: Why Experimental Design Matters," CESifo Working Paper Series 7125, CESifo.
  • Handle: RePEc:ces:ceswps:_7125
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    Cited by:

    1. Wunsch, Conny & Strobl, Renate, 2018. "Identification of causal mechanisms based on between-subject double randomization designs," CEPR Discussion Papers 13028, C.E.P.R. Discussion Papers.
    2. Lenel, Friederike & Steiner, Susan, 2020. "Formal insurance and solidarity. Experimental evidence from Cambodia," Journal of Economic Behavior & Organization, Elsevier, vol. 174(C), pages 212-234.
    3. Anderberg, Dan & Morsink, Karlijn, 2020. "The introduction of formal insurance and its effect on redistribution," Journal of Economic Behavior & Organization, Elsevier, vol. 179(C), pages 22-45.

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    More about this item

    Keywords

    solidarity; risk taking; experimental design;
    All these keywords.

    JEL classification:

    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • D63 - Microeconomics - - Welfare Economics - - - Equity, Justice, Inequality, and Other Normative Criteria and Measurement
    • D81 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Criteria for Decision-Making under Risk and Uncertainty
    • O12 - Economic Development, Innovation, Technological Change, and Growth - - Economic Development - - - Microeconomic Analyses of Economic Development

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