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Field Experiments in Economics: Palgrave Entry

Author

Listed:
  • List, John A.

    (University of Chicago)

  • Reiley, David

    (University of Arizona)

Abstract

Field experiments occupy a middle ground between laboratory experiments and naturally occurring field data. The idea is to perform a controlled experiment that captures important characteristics of the real world. Relative to traditional empirical economics, field experiments provide an advantage by creating exogenous variation in the variables of interest, allowing us to establish causality rather than mere correlation. Relative to a laboratory experiment, a field experiment gives up some of the control that a laboratory experimenter may have over her environment in exchange for increased realism.

Suggested Citation

  • List, John A. & Reiley, David, 2008. "Field Experiments in Economics: Palgrave Entry," IZA Discussion Papers 3273, Institute of Labor Economics (IZA).
  • Handle: RePEc:iza:izadps:dp3273
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    File URL: https://docs.iza.org/dp3273.pdf
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    References listed on IDEAS

    as
    1. David Lucking-Reiley & John A. List, 2000. "Demand Reduction in Multiunit Auctions: Evidence from a Sportscard Field Experiment," American Economic Review, American Economic Association, vol. 90(4), pages 961-972, September.
    2. Dean Karlan & John A. List, 2007. "Does Price Matter in Charitable Giving? Evidence from a Large-Scale Natural Field Experiment," American Economic Review, American Economic Association, vol. 97(5), pages 1774-1793, December.
    3. Glenn W. Harrison & John A. List, 2004. "Field Experiments," Journal of Economic Literature, American Economic Association, vol. 42(4), pages 1009-1055, December.
    4. David Porter & Roumen Vragov, 2006. "An experimental examination of demand reduction in multi-unit versions of the Uniform-price, Vickrey, and English auctions," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 27(6), pages 445-458.
    5. List John A., 2007. "Field Experiments: A Bridge between Lab and Naturally Occurring Data," The B.E. Journal of Economic Analysis & Policy, De Gruyter, vol. 5(2), pages 1-47, April.
    6. David Lucking-Reiley, 1999. "Using Field Experiments to Test Equivalence between Auction Formats: Magic on the Internet," American Economic Review, American Economic Association, vol. 89(5), pages 1063-1080, December.
    7. William Vickrey, 1961. "Counterspeculation, Auctions, And Competitive Sealed Tenders," Journal of Finance, American Finance Association, vol. 16(1), pages 8-37, March.
    8. Steven D. Levitt & John A. List, 2007. "What Do Laboratory Experiments Measuring Social Preferences Reveal About the Real World?," Journal of Economic Perspectives, American Economic Association, vol. 21(2), pages 153-174, Spring.
    9. repec:feb:framed:0052 is not listed on IDEAS
    10. Bohm, Peter, 1972. "Estimating demand for public goods: An experiment," European Economic Review, Elsevier, vol. 3(2), pages 111-130.
    11. Dirk Engelmann & Veronika Grimm, 2003. "Bidding Behavior in Multi-Unit Auctions - An Experimental Investigation and some Theoretical Insights," CERGE-EI Working Papers wp210, The Center for Economic Research and Graduate Education - Economics Institute, Prague.
    12. List, John A. & Shogren, Jason F., 1998. "Calibration of the difference between actual and hypothetical valuations in a field experiment," Journal of Economic Behavior & Organization, Elsevier, vol. 37(2), pages 193-205, October.
    13. Eric Anderson & Duncan Simester, 2003. "Effects of $9 Price Endings on Retail Sales: Evidence from Field Experiments," Quantitative Marketing and Economics (QME), Springer, vol. 1(1), pages 93-110, March.
    14. Peter Bohm, 1972. "Estimating the demand for public goods: An experiment," Framed Field Experiments 00126, The Field Experiments Website.
    Full references (including those not matched with items on IDEAS)

    Citations

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    Cited by:

    1. Donkers, Bas & van Diepen, Merel & Franses, Philip Hans, 2017. "Do charities get more when they ask more often? Evidence from a unique field experiment," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 66(C), pages 58-65.
    2. Juan Camilo Cardenas & Jeffrey P. Carpenter, 2005. "Experiments and Economic Development: Lessons from Field Labs in the Developing World," Middlebury College Working Paper Series 0505, Middlebury College, Department of Economics.
    3. Juan Camilo Cardenas & Jeffrey Carpenter, 2008. "Behavioural Development Economics: Lessons from Field Labs in the Developing World," Journal of Development Studies, Taylor & Francis Journals, vol. 44(3), pages 311-338.
    4. Bruno S. Frey & David A. Savage & Benno Torgler, 2009. "Surviving the Titanic Disaster: Economic, Natural and Social Determinants," CREMA Working Paper Series 2009-03, Center for Research in Economics, Management and the Arts (CREMA).
    5. Matteo M. Galizzi & Daniel Navarro-Martinez, 2019. "On the External Validity of Social Preference Games: A Systematic Lab-Field Study," Management Science, INFORMS, vol. 65(3), pages 976-1002, March.
    6. Veronika Andorfer & Ulf Liebe, 2012. "Research on Fair Trade Consumption—A Review," Journal of Business Ethics, Springer, vol. 106(4), pages 415-435, April.
    7. Crifo, Patricia & Forget, Vanina D. & Teyssier, Sabrina, 2015. "The price of environmental, social and governance practice disclosure: An experiment with professional private equity investors," Journal of Corporate Finance, Elsevier, vol. 30(C), pages 168-194.
    8. Lata Gangadharan & Tarun Jain & Pushkar Maitra & Joe Vecci, 2022. "Lab-in-the-field experiments: perspectives from research on gender," The Japanese Economic Review, Springer, vol. 73(1), pages 31-59, January.
    9. Galarza, Francisco & Power, Mauricio, 2012. "Economía experimental: Nuevas metodologías para analizar el comportamiento individual [Experimental Economics: New Methodologies to Analyze the Individual Behavior]," MPRA Paper 114877, University Library of Munich, Germany.

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    More about this item

    Keywords

    field experiments;

    JEL classification:

    • C72 - Mathematical and Quantitative Methods - - Game Theory and Bargaining Theory - - - Noncooperative Games

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