1. Handouts, Programs, and Data Bivariate Probit and Logit Models

2. Bivariate probit and logit models, like the binary probit and logit models, use binary dependent variables, commonly coded as a 0 or 1 variable

3. (4) The specification in(1)and(2)together with the assumption in(4)is commonly referred to as the recursive Bivariate probit

4. In the Bivariate probit model it is assumed that (ε 1,ε 2) is drawn from a standard Bivariate normal distribution with zero means, unit variances, and correlation coefficient ρ: (ε 1,ε 2) ∼N 2 0 0 , 1 ρ ρ 1

5. Germination ability declined when moisture contents were reduced below approximately 35% for S. roxburghii, below a value exceeding 40% forS. almon, and below 40% for S. robusta; a straight-line relationship was observed between the probit of germination and moisture content percentage.