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Consider the Following Cobb-Douglas Production Function Yi = AK β1i\begin{array} { c } \beta _ { 1 } \\i\end{array}

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Consider the following Cobb-Douglas production function Yi = AK β1i\begin{array} { c } \beta _ { 1 } \\i\end{array} L β2i\begin{array} { c } \beta _ { 2 } \\i\end{array} euie ^ { u _ { i } } (where Y is output, A is the level of technology, K is the capital stock, and L is the labor force), which has been linearized here (by using logarithms)to look as follows:
yi = β0\beta _ { 0 } ^ { * } + β1ki + β2li + ui
Assuming that the errors are heteroskedastic, you want to test for constant returns to scale. Using a t-statistic and "Approach #2," how would you proceed.

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Under constant returns to scale, β1 + β2 =...

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