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Show That for the Following Regression Model
Yt = eβ0+β1×t+u{ } _ { e } \beta _ { 0 } + \beta _ { 1 \times t + u }

Question 14

Essay

Show that for the following regression model
Yt = eβ0+β1×t+u{ } _ { e } \beta _ { 0 } + \beta _ { 1 \times t + u } where t is a time trend, which takes on the values 1, 2, …,T, β1 represents the instantaneous ("continuous compounding")growth rate. Show how this rate is related to the proportionate rate of growth, which is calculated from the relationship
Yt = Y0 × (1 + g)t
when time is measured in discrete intervals.

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ln(Yt)= β0 + β1 × t + u and hence β1 = blured image_TB5979...

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