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From |
Quang Nguyen <quangn@gmail.com> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
st: How can we incorporate COVARIATES into a NL evaluator program |

Date |
Wed, 15 Apr 2009 00:22:14 -1000 |

Dear All: Follwing is an example from Stata website regarding the NL program evaluator for the CES: ln Q = b0 - 1/rho*ln{delta*K^-rho + (1-delta)*L^-rho} where Q denotes output and b0, rho, and delta are parameters to be estimated. Now, suppose delta correlate with education as such: delta = delta_0 + b*Edu. Using nl we can estimate delta_0 and b as follows: nl ( ln Q = {b0} - 1/{rho}*ln({delta_0}+{b}*edu)*K^-{rho} + (1-{delta_0}+{b}*edu))*L^-{rho}) My question is how we can estimate delta_0 and b if we write a program evaluator. FYI, here is the program evaluator from Stata website: program nlces version 10 syntax varlist(min=3 max=3) [aw fw iw] if, at(name) local logout: word 1 of `varlist' local capital: word 2 of `varlist' local labor: word 3 of `varlist' // Retrieve parameters out of at matrix tempname b0 rho delta scalar `b0' = `at'[1,1] scalar `rho' = `at'[1,2] scalar `delta' = `at'[1,3] // Some temporary variables tempvar kterm lterm generate double `kterm' = `delta'*`capital'^(-1*`rho') `if' generate double `lterm' = (1-`delta')*`labor'^(-1*`rho') `if' // Now fill in dependent variable replace `logout' = `b0' - 1/`rho'*ln(`kterm'+`lterm') `if' end -- "My father gave me the greatest gift anyone could give another person, he believed in me." - Jim Valvano * * For searches and help try: * http://www.stata.com/help.cgi?search * http://www.stata.com/support/statalist/faq * http://www.ats.ucla.edu/stat/stata/

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