Row | Statistical Model | Elasticity |
1 | \(y_t=β_1+β_2\frac{1}{x_t}\epsilon_t\) | \(-\frac{β_2}{x^2_t}\) |
2 | \(y_t=β_1-β_2\text{ln}(x_t)+\epsilon_t\) | \(-\frac{β_2}{x^2_t}\) |
3 | ln(yt) = β1 + β2 ln(xt) + εt | β2 |
4 | ln(yt) = β1 + β2xt + εt | β2xt |
5 | ln(yt) = β1 + β2 ln(xt) + εt | β2 exp(xt) |
6 | ln(yt) = β1 + β2xt + εt | \(β_2\frac{1}{\text{exp}(x_t)}\) |