where, L(H0) and L(H1) denote the v

where, L(H0) and L(H1) denote the values of the likelihood function for the null and alternative hypotheses, respectively. The value of λ is needed to be compared with the critical value of chi-square from the table of ordinary chi-square or from the table in Kodde and Palm (1986). Suppose λ of the hypothesis is greater than the critical value of chi-square, then this null hypothesis is rejected and otherwise. It should be reminded that the table in Kodde and Palm (1986) can only be referred if the case of γ = 0 occurs (the first and the second hypotheses); while the third hypothesis should refer to the table of ordinary chi-square distribution.

Besides, according to Sharma and Leung (1999) the input-output elasticity of each input cannot be obtained directly from the trans-log production function like obtain from Cobb-Douglas production function. Thus, input-output elasticity of each input has to be measured separately and it can be formulated as follows:

Results (Indonesian) 1:

where, L (H0) and L (H1) shows the values ​​of the likelihood function for the null hypothesis and alternate, respectively. Value λ required can be compared with the critical value of Chi-squared from the table Chi-square regular or on a table in Kodde and Palm (1986). Let λ hypothesis is greater than the critical value of Chi-square, then the null hypothesis is rejected and vice versa. It should be reminded that the tables in Kodde and Palm (1986) can only be called if the case γ = 0 occurs (the first and second hypothesis); while the third hypothesis should refer to the table distribution Chi-squared usual. In addition, according to Sharma and Leung (1999) elasticity of input-output input can not be obtained directly from the production function trans-log like getting out of Cobb-Douglas . Thus, the input-output elasticity input should be measured separately and can be formulated as follows:

Results (Indonesian) 2:

where, L (H0) and L (H1) shows the values ​​of the likelihood function for the null hypothesis and alternate, respectively. Value λ needed to be compared with the critical value of chi-square of ordinary table chi-square or of the table Kodde and Palm (1986). Let λ hypothesis is greater than the critical value of chi-square, the null hypothesis is rejected and vice versa. It should be reminded that the table in Kodde and Palm (1986) can only be called if the case γ = 0 happen (first and The second hypothesis); while the third hypothesis should refer to the table chi-square distribution usual. In addition, according to Sharma and Leung (1999) elasticity of input-output of each input can not be obtained directly from the logs trans production functions such as gain from Cobb production function Douglas. Thus, the input-output elasticity of each input should be measured separately and can be formulated as follows: