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From |
Stefano Verde <verdes@tcd.ie> |

To |
statalist@hsphsun2.harvard.edu |

Subject |
Re: st: svy bootstrap and nlsur function evaluator program |

Date |
Sat, 4 Dec 2010 17:32:36 +0000 |

Dear Stas, I've microdata from a household budget survey, with the variable GF which associates to each observation (i.e. household) a gross factor (i.e. the number of households that observation represents in the population). I want to bootstrap some elastisticities, which are functions of the estimated parameters from my demand system. While the ordinary bootstrap works fine, I was hoping to do also a weighted bootstrap to take account of the GF's. I've been trying a number of combinations of -svyset- and -svy bootstrap-, but no success so far. In particular, when I type (note that "estimate" is just the name of my program estimating the model) svyset [iw=GF], bsr(GF) svy bootstrap inc_1 = r(inc_1) inc_2 = r(inc_2) inc_3 = r(inc_3) inc_4 = r(inc_4) inc_5 = r(inc_5) inc_6 = r(inc_6) inc_7 = r(inc_7) /// eta_1_1 = r(eta_1_1) eta_2_2 = r(eta_2_2) eta_3_3 = r(eta_3_3) eta_4_4 = r(eta_4_4) eta_5_5 = r(eta_5_5) eta_6_6 = r(eta_6_6) eta_7_7 = r(eta_7_7) /// , reps(3): estimate if quint==1 I get this error option reps() not allowed r(198); Why can't I spcecify the number of replications? So, the number of replication is always the same with -svy bootstrap-? What is this number? I couldn't find this information on the manuals. If then the only change I make is to omit "reps(3)" all the rest staying the same, I get this error insufficient observations to perform bootstrap r(459); Now, this is odd to me because as I said before the bootstrap perfectly works when I don't use svy and weights. May I ask your advice? Thanks for your previous repsonse, Best wishes, Stefano * * 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/

**Follow-Ups**:**Re: st: svy bootstrap and nlsur function evaluator program***From:*Stas Kolenikov <skolenik@gmail.com>

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