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Adoption: a new Stata routine for estimating consistently population technological adoption parameters


  • Aliou Diagne

    () (Africa Rice Center)


In Agricultural Economics 37 (2007) 201–210, using a counterfactual outcomes framework, Diagne and Demont showed that observed sample technological adoption rate does not consistently estimate the population adoption rate even if the sample is random. Likewise, it is shown that a model of adoption with observed adoption outcome as a dependent variable and where exposure to the technology is not observed and controlled for cannot yield consistent estimates of the determinants of adoption. In this talk the author present a new user-written Stata command called adoption implemented by using Stata estimation commands internally to carry out the various estimations and by computing the correct standard errors for the Average Treatment Effect (ATE) parameter estimates; population mean potential adoption in the exposed subpopulation (ATE1), population mean potential adoption in the non-exposed subpopulation (ATE0, population mean joint exposure and adoption (JEA), population adoption gap (GAP) and population selection bias (PSB). The ATE adoption parameters are estimated using the semiparametric (i.e. inverse probability weighting) method or a parametric method that fits adoption outcome on independent variables using one of Stata parametric models such as Probit, Logit, glm, Ols, Poisson, Tobit, etc.

Suggested Citation

  • Aliou Diagne, 2012. "Adoption: a new Stata routine for estimating consistently population technological adoption parameters," SAN12 Stata Conference 17, Stata Users Group.
  • Handle: RePEc:boc:scon12:17

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    References listed on IDEAS

    1. Feder, Gershon & Just, Richard E & Zilberman, David, 1985. "Adoption of Agricultural Innovations in Developing Countries: A Survey," Economic Development and Cultural Change, University of Chicago Press, vol. 33(2), pages 255-298, January.
    2. Saha Atanu & H. Alan Love & Robert Schwart, 1994. "Adoption of Emerging Technologies Under Output Uncertainty," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 76(4), pages 836-846.
    3. Dimara, Efthalia & Skuras, Dimitris, 2003. "Adoption of agricultural innovations as a two-stage partial observability process," Agricultural Economics, Blackwell, vol. 28(3), pages 187-196, May.
    4. Besley, Timothy & Case, Anne, 1993. "Modeling Technology Adoption in Developing Countries," American Economic Review, American Economic Association, vol. 83(2), pages 396-402, May.
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