1. The estimation of a Cobb-Douglas production function for 20 firms of a given industry yields: 16.907 + 0.322k₁ + 2.777l R2 = 0.915 DW = 2.032 RSS=0.461 Use a = 5% Var = B 0.166070 0.031857 0.216639 -0.857446 -0.057229 4.939971/ where : fitted values of naturals logaritrhms of output (output express in 1000 tons); k: natural logaritrhms of capital output (output express in 1000 tons) l: natural logaritrhms of labour (labour is in hours) RSS: residual sum of squares t: firm index Var ß: variance - covariance matrix of estimates a. Evaluate the statistical significance of the coefficients.

Managerial Economics: Applications, Strategies and Tactics (MindTap Course List)
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ISBN:9781305506381
Author:James R. McGuigan, R. Charles Moyer, Frederick H.deB. Harris
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Chapter9: Applications Of Cost Theory
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1. The estimation of a Cobb-Douglas production function for 20 firms of a given industry yields:
= 16.907 + 0.322k₁ + 2.777l₁
R² = 0.915 DW = 2.032 RSS=0.461 Use a = 5%
Var ß=
0.166070
0.031857 0.216639
-0.857446 -0.057229 4.939971/
where : fitted values of naturals logaritrhms of output (output express in 1000 tons);
k₁: natural logaritrhms of capital output (output express in 1000 tons)
l: natural logaritrhms of labour (labour is in hours)
RSS: residual sum of squares
t: firm index
Var ß: variance - covariance matrix of estimates
a. Evaluate the statistical significance of the coefficients.
Transcribed Image Text:1. The estimation of a Cobb-Douglas production function for 20 firms of a given industry yields: = 16.907 + 0.322k₁ + 2.777l₁ R² = 0.915 DW = 2.032 RSS=0.461 Use a = 5% Var ß= 0.166070 0.031857 0.216639 -0.857446 -0.057229 4.939971/ where : fitted values of naturals logaritrhms of output (output express in 1000 tons); k₁: natural logaritrhms of capital output (output express in 1000 tons) l: natural logaritrhms of labour (labour is in hours) RSS: residual sum of squares t: firm index Var ß: variance - covariance matrix of estimates a. Evaluate the statistical significance of the coefficients.
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