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Appendix A: Empirical design? ? Following Shakya and Flinn (1985), the fresh new empirical model for this data are given the following: Y* = ? + ? X + ? and Y = g(Y*) in which Y=Y* for Y* > 0 Y = 0, if you don’t
Y* was a directory highlighting the combine effect of X (character particular and you can technology specific) affairs you to definitely determine adoption choice. Y* i s maybe not observable. What exactly is, not, noticed is whether or not the character enters into technology (when Y* >0) or perhaps not ( whenever Y* =0). Where Y ‘s the urban area (ha) not as much as increased maize varieties, X is as discussed a lot more than, ? , ? is details are projected and you will ? was an excellent stochastic mistake term The probability of adoption and make use of strength should be projected by using the adopting the conditional presumption setting: E(Y|Y*) = Y*.F(Y*/?) + ? .f(Y*/?