production function CES, aproximation Kmenta
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This problem may be for mathematicians or programmers,I'm not sure. I estimate production function CES, approximation by Kmenta.
Original PF CES is
$Y=γ [δ* K^-à+ (1-δ)*L^-à] ^ -v/ÃÂ$
After using logarithm and Taylor series, Kmenta got
$lnâ¡Y = lnâ¡ c+rγ lnâ¡ K + r(1-γ)lnâ¡P- frac12$ ÃÂrγ(1-γ) * $(lnâ¡K - lnâ¡P)^2$
and after aproximation...
$lnâ¡Y= β_0 +β_1 lnâ¡K+ β_2 lnâ¡P + β_3$[lnâ¡ (K/P)$]^2$
we got function which can be estimated by OLS method.
My problem: Because third model faild in assumptions of OLS, I need differentiate it. I use program R, so I just add diff to parameter diff(log(K)) and diff(log(P)). But how to edit the last expression...
$[lnâ¡ (K/P)]$^2
maybe...
$(diff[ln(K)]-diff[ln(P)])^2$
$diff [ln(K)-ln(P)]^2$
$diff ((ln(K)/ln(P))^2$
.. but realy I don't know, which expression is right. If someone need more detailed description of function approximation, I'll write it. Thanks;)
derivatives
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up vote
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down vote
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This problem may be for mathematicians or programmers,I'm not sure. I estimate production function CES, approximation by Kmenta.
Original PF CES is
$Y=γ [δ* K^-à+ (1-δ)*L^-à] ^ -v/ÃÂ$
After using logarithm and Taylor series, Kmenta got
$lnâ¡Y = lnâ¡ c+rγ lnâ¡ K + r(1-γ)lnâ¡P- frac12$ ÃÂrγ(1-γ) * $(lnâ¡K - lnâ¡P)^2$
and after aproximation...
$lnâ¡Y= β_0 +β_1 lnâ¡K+ β_2 lnâ¡P + β_3$[lnâ¡ (K/P)$]^2$
we got function which can be estimated by OLS method.
My problem: Because third model faild in assumptions of OLS, I need differentiate it. I use program R, so I just add diff to parameter diff(log(K)) and diff(log(P)). But how to edit the last expression...
$[lnâ¡ (K/P)]$^2
maybe...
$(diff[ln(K)]-diff[ln(P)])^2$
$diff [ln(K)-ln(P)]^2$
$diff ((ln(K)/ln(P))^2$
.. but realy I don't know, which expression is right. If someone need more detailed description of function approximation, I'll write it. Thanks;)
derivatives
add a comment |Â
up vote
0
down vote
favorite
up vote
0
down vote
favorite
This problem may be for mathematicians or programmers,I'm not sure. I estimate production function CES, approximation by Kmenta.
Original PF CES is
$Y=γ [δ* K^-à+ (1-δ)*L^-à] ^ -v/ÃÂ$
After using logarithm and Taylor series, Kmenta got
$lnâ¡Y = lnâ¡ c+rγ lnâ¡ K + r(1-γ)lnâ¡P- frac12$ ÃÂrγ(1-γ) * $(lnâ¡K - lnâ¡P)^2$
and after aproximation...
$lnâ¡Y= β_0 +β_1 lnâ¡K+ β_2 lnâ¡P + β_3$[lnâ¡ (K/P)$]^2$
we got function which can be estimated by OLS method.
My problem: Because third model faild in assumptions of OLS, I need differentiate it. I use program R, so I just add diff to parameter diff(log(K)) and diff(log(P)). But how to edit the last expression...
$[lnâ¡ (K/P)]$^2
maybe...
$(diff[ln(K)]-diff[ln(P)])^2$
$diff [ln(K)-ln(P)]^2$
$diff ((ln(K)/ln(P))^2$
.. but realy I don't know, which expression is right. If someone need more detailed description of function approximation, I'll write it. Thanks;)
derivatives
This problem may be for mathematicians or programmers,I'm not sure. I estimate production function CES, approximation by Kmenta.
Original PF CES is
$Y=γ [δ* K^-à+ (1-δ)*L^-à] ^ -v/ÃÂ$
After using logarithm and Taylor series, Kmenta got
$lnâ¡Y = lnâ¡ c+rγ lnâ¡ K + r(1-γ)lnâ¡P- frac12$ ÃÂrγ(1-γ) * $(lnâ¡K - lnâ¡P)^2$
and after aproximation...
$lnâ¡Y= β_0 +β_1 lnâ¡K+ β_2 lnâ¡P + β_3$[lnâ¡ (K/P)$]^2$
we got function which can be estimated by OLS method.
My problem: Because third model faild in assumptions of OLS, I need differentiate it. I use program R, so I just add diff to parameter diff(log(K)) and diff(log(P)). But how to edit the last expression...
$[lnâ¡ (K/P)]$^2
maybe...
$(diff[ln(K)]-diff[ln(P)])^2$
$diff [ln(K)-ln(P)]^2$
$diff ((ln(K)/ln(P))^2$
.. but realy I don't know, which expression is right. If someone need more detailed description of function approximation, I'll write it. Thanks;)
derivatives
asked Jul 26 at 6:49


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