Timeline for Calibrating a household survey to household-level and person-level control totals
Current License: CC BY-SA 3.0
16 events
when toggle format | what | by | license | comment | |
---|---|---|---|---|---|
Apr 13, 2017 at 12:44 | history | edited | CommunityBot |
replaced http://stats.stackexchange.com/ with https://stats.stackexchange.com/
|
|
Mar 18, 2012 at 23:49 | vote | accept | krlmlr | ||
Mar 18, 2012 at 23:49 | history | notice removed | krlmlr | ||
Mar 18, 2012 at 23:49 | history | bounty ended | krlmlr | ||
Mar 15, 2012 at 0:32 | answer | added | Peter Ellis | timeline score: 1 | |
Mar 14, 2012 at 21:25 | answer | added | Ludo | timeline score: 4 | |
Mar 14, 2012 at 13:36 | comment | added | krlmlr | @PeterEllis: Post-stratification weighting seems similar, but I'm interested specifically in the multilevel case here. An important part of my question was missing, I have updated it. | |
Mar 14, 2012 at 13:33 | history | edited | krlmlr | CC BY-SA 3.0 |
added 283 characters in body
|
Mar 14, 2012 at 11:22 | comment | added | Peter Ellis | I'm not sure I understand (even though I've skimmed the original question), but I'm interested. This is the bread and butter of official statistics - using surveys to report on population totals for unemployment, profitability, tourism average spend, whatever - unless I've misunderstood things. What is missing from all the standard approaches to 'weighting-to-population' through stratification, post-stratification weighting, etc.? Basically, I don't understand your weighting problem - a few words of clarification might help. | |
Mar 14, 2012 at 9:03 | comment | added | krlmlr |
Thank you. I will edit the question so that it mentions raking, and also to clarify. You are right about the general idea. However, I asked specifically about multilevel raking/fitting/... algorithms and methods; the single level case has been chewed through already. -- I'll take a look at the survey package.
|
|
Mar 14, 2012 at 0:02 | comment | added | RWFarley | I have a similar problem. If you use the statistical software R, you need the Survey package. It seems that to Statisticians, the term Rake is used for IPF. There is a rake function in the Survey package. This will result in non-integer weights for each record. I presume this can feed your population synthesiser? | |
Mar 11, 2012 at 23:38 | history | tweeted | twitter.com/#!/StackStats/status/178988275942428672 | ||
Mar 11, 2012 at 20:40 | history | notice added | krlmlr | Draw attention | |
Mar 11, 2012 at 20:40 | history | bounty started | krlmlr | ||
Mar 9, 2012 at 13:14 | history | edited | krlmlr |
edited tags
|
|
Mar 9, 2012 at 12:24 | history | asked | krlmlr | CC BY-SA 3.0 |