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On the Generalizability of Experimental Results in Economics: With a Response to Commentors

Author

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  • Omar Al-Ubaydli
  • John A. List

Abstract

Economists are increasingly turning to the experimental method as a means to estimate causal effects. By using randomization to identify key treatment effects, theories previously viewed as untestable are now scrutinized, efficacy of public policies are now more easily verified, and stakeholders can swiftly add empirical evidence to aid their decision-making. This study provides an overview of experimental methods in economics, with a special focus on developing an economic theory of generalizability. Given that field experiments are in their infancy, our secondary focus pertains to a discussion of the various parameters that they identify, and how they add to scientific knowledge. We conclude that until we conduct more field experiments that build a bridge between the lab and the naturally-occurring settings of interest we cannot begin to make strong conclusions empirically on the crucial question of generalizability from the lab to the field.

Suggested Citation

  • Omar Al-Ubaydli & John A. List, 2013. "On the Generalizability of Experimental Results in Economics: With a Response to Commentors," CESifo Working Paper Series 4543, CESifo.
  • Handle: RePEc:ces:ceswps:_4543
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    References listed on IDEAS

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    3. Potters, Jan & Stoop, Jan, 2016. "Do cheaters in the lab also cheat in the field?," European Economic Review, Elsevier, vol. 87(C), pages 26-33.
    4. John List, 2021. "2021 Summary Data of Artefactual Field Experiments Published on Fieldexperiments.com," Artefactual Field Experiments 00749, The Field Experiments Website.
    5. John A. List & Robert Metcalfe, 2014. "Field experiments in the developed world: an introduction," Oxford Review of Economic Policy, Oxford University Press and Oxford Review of Economic Policy Limited, vol. 30(4), pages 585-596.
    6. Aflagah, Kodjo & Bernard, Tanguy & Viceisza, Angelino, 2022. "Cheap talk and coordination in the lab and in the field: Collective commercialization in Senegal," Journal of Development Economics, Elsevier, vol. 154(C).
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    9. Ashkan Pakseresht & Brandon R McFadden & Carl Johan Lagerkvist, 2017. "Consumer acceptance of food biotechnology based on policy context and upstream acceptance: evidence from an artefactual field experiment," European Review of Agricultural Economics, Oxford University Press and the European Agricultural and Applied Economics Publications Foundation, vol. 44(5), pages 757-780.
    10. Eszter Czibor & David Jimenez‐Gomez & John A. List, 2019. "The Dozen Things Experimental Economists Should Do (More of)," Southern Economic Journal, John Wiley & Sons, vol. 86(2), pages 371-432, October.
    11. John List, 2022. "Framed Field Experiments: 2021 Summary on Fieldexperiments.com," Framed Field Experiments 00752, The Field Experiments Website.
    12. Ferré, Marie & Engel, Stefanie & Gsottbauer, Elisabeth, 2022. "Incentivizing coordination in the adoption of sustainable land use when costs are heterogeneous: An economic experiment," Land Use Policy, Elsevier, vol. 123(C).
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    14. Antinyan, Armenak & Corazzini, Luca, 2021. "Money does it better! Economic incentives, nudging interventions and reusable shopping bags: Evidence from a natural field experiment," Cardiff Economics Working Papers E2021/29, Cardiff University, Cardiff Business School, Economics Section.
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    17. Andrej Gill & Florian Hett & Johannes Tischer, 2022. "Time Inconsistency and Overdraft Use: Evidence from Transaction Data and Behavioral Measurement Experiments," Working Papers 2205, Gutenberg School of Management and Economics, Johannes Gutenberg-Universität Mainz.
    18. Gill, Andrej & Hett, Florian & Tischer, Johannes, 2022. "Time inconsistency and overdraft use: Evidence from transaction data and behavioral measurement experiments," Discussion Papers 18/2022, Deutsche Bundesbank.
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    More about this item

    Keywords

    lab and field experiments; generalizability;

    JEL classification:

    • C90 - Mathematical and Quantitative Methods - - Design of Experiments - - - General
    • C91 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Individual Behavior
    • C93 - Mathematical and Quantitative Methods - - Design of Experiments - - - Field Experiments

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