A few questions for
anyone who'd care to offer opinions...
Who on the list has
experience "synthesizing" small-area (= TAZ Zones or Tracts or Block
Groups) socioeconomic crosstabs that go beyond the tables published by Census
Bureau? By "beyond," I'm specifically thinking of using
multiple households characteristics as segmenting dimensions.
And how do you go about
it? Iterative proportional fitting – or propensity? or some other
joint distribution technique??
About my own
objectives:
For analyses and
forecasts-prep at Metropolitan Council, we would like to segment our region's
Census 2000 households on multiple dimensions:
age of householder
(4 categories) X household size (4 categories) X household income (5
categories) X geographic units (1200 Zones).
I’ve been thinking
that we would start with CTPP table 64 (crosstab of household size X household
income X TAZ Zones) and then synthesize the additional segmentation by age
group (drawing on PUMS data). But I’m skeptical that household size
X household income is enough information to predict age of householder.
Any thoughts??
Alternately… Census
SF3 table P55 offers crosstab of age group X household income X Block Groups.
Perhaps start there and synthesize the additional segmentation by
household size. This might work better! – but then there’s
the additional hassle of correspondence between Block Groups vs TAZ
Zones.
Any advice is
appreciated. Thanks.
--
Metropolitan
Council Research
651/602-1322