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Softa [21]
3 years ago
5

You obtain the following estimates for an AR(2) model of some returns data

Business
1 answer:
Sergio039 [100]3 years ago
4 0

Answer:

AR(2) model is not stationary

Explanation:

Given model  :  Yt = 0.803yt-1   +  0.682yt-2 +  ut  ---- ( 1 )

ut = noise error process

Aim : Check estimated model for stationarity

<em>step 1 : </em>represent the estimated polynomial of the model ( where: ut ∪ N(o,б^2 ) rewrite equation 1

Yt - 0.803yt-1  - 0.682yt-2  = ut  ------- ( 2 )

hence the polynomial can be represented as :

( 1 - 0.803B - 0.682B^2 )Yt = ut

Characteristic of the obtained polynomial can be represented as ;

1 - 0.803λ - 0.682λ^2 - 1 = 0

attached below is the remaining part of the solution

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Answer:

$4000  is the correct answer to the given question .

Explanation:

The marginal cost with compare to the labor can be written as

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=$20000

Therefore profit-maximizing level of output =$24000-$20000=$4000

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