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The Effect Of Trust On Public Support For Biotechnology: Evidence From The U.S. Biotechnology Study, 1997-1998

  • James, Harvey S., Jr.

The purpose of this paper is to examine the extent to which trust directly affects public support for biotechnology, particularly in applications to food production and genetic modification of crop plants. Unlike previous research in which trust is assumed to be exogenous, this paper posits that trust is endogenously determined. An econometric model is developed that controls for the endogeneity of trust using instrumental variable and selection correction techniques. Using data from the U.S. Biotechnology Study, this study finds that the effect of trust on public support is substantially stronger than previous estimates.

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Paper provided by University of Missouri Columbia, Department of Agricultural Economics in its series Working Papers with number 26041.

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Date of creation: 2002
Date of revision:
Handle: RePEc:ags:umcowp:26041
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  1. James Jr., Harvey S., 2002. "The trust paradox: a survey of economic inquiries into the nature of trust and trustworthiness," Journal of Economic Behavior & Organization, Elsevier, vol. 47(3), pages 291-307, March.
  2. anonymous, 1978. "Communication," Management Science, INFORMS, vol. 24(9), pages 919-919, May.
  3. Harvey James, 2002. "On the Reliability of Trusting," Microeconomics 0202002, EconWPA.
  4. Heckman, James J, 1979. "Sample Selection Bias as a Specification Error," Econometrica, Econometric Society, vol. 47(1), pages 153-61, January.
  5. Harvey James, 2002. "The Trust Paradox: A Survey of Economic Inquiries Into the Nature of Trust and Trustworthiness," Microeconomics 0202001, EconWPA.
  6. Margaret Levi, 2000. "When good defenses make good neighbours: a transaction cost approach to trust, the absence of trust distrust," Chapters, in: Institutions, Contracts and Organizations, chapter 12 Edward Elgar.
  7. Vella, Francis & Verbeek, Marno, 1999. "Estimating and Interpreting Models with Endogenous Treatment Effects," Journal of Business & Economic Statistics, American Statistical Association, vol. 17(4), pages 473-78, October.
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