Thank you Elaine very helpful
Alan E. Pisarski
6501 Waterway Drive
Falls Church Va. 22044
703 941-4257
alanpisarski(a)alanpisarski.com
_____
From: ctpp-news-bounces(a)chrispy.net [mailto:ctpp-news-bounces@chrispy.net]
On Behalf Of Murakami, Elaine
Sent: Wednesday, June 20, 2007 6:04 PM
To: ctpp-news maillist
Cc: Deb Niemeier; siim soot
Subject: [CTPP] CB Center for Economic Studies Discussion papers
fromResearch Data Centers
As some of you know, we (the transportation data community) have not had
much success using the CBs Research Data Center program that is housed at
the Center for Economic Studies. We attempted to use the RDC to examine
early ACS results. The RDCs provide researchers with access to
confidential microdata and go through careful review before results are
released to ensure that no confidential data are released.
While glancing at the CES RDC website today, I noticed that several
discussion papers over the past few years (2005 through current) have
included analysis using the 1990 and 2000 decennial census long form data
to examine patterns of home-to-work. 2004 ACS data are included on the list
of available data at the RDC. Typically, these analyses focus on labor
market outcomes.
http://www.ces.census.gov/index.php/ces/1.00/cmshome
Here are a few that I found:
Hellerstein, Judith K; David Neumark; and Melissa McInerney. Spatial
Mismatch or Racial Mismatch? CES 07-16. June 2007.
Job density and employment rates are compared between black and white
population (no break-out for Hispanic), The authors use the term racial
mismatch to mean a lack of jobs into which blacks are hired, in contrast
to spatial mismatch that argues that jobs are not located near to where
people live contributing to lack of employment. They found that space alone
plays a relatively minor role in low black male employment rates. They find
that jobs that are available to blacks is more important, especially for
workers with lower education.
Wang, Qingfang How does Geography Matter in Ethnic Labor Market
Segmentation Process? A Case Study of Chinese in the San Francisco CMSA
CES-WP-07-09 March 2007
The authors defined Chinese residence and workplace concentrations in the
San Francisco Bay area. They found clear market segmentation by gender and
job skill among the Chinese immigrants. They assert that the housing market
is limited for immigrant ethnic minorities, but that ethnic social
networking will influence employment and therefore job location, beyond
commute time considerations. The pattern for Chinese immigrant men and
women is very different, with men in skilled computer and electronics jobs,
and women in lower skilled factory and assembly line jobs.
Bayer, Patrick; Stephen L. Ross, and Giorgio Topa. Place of Work and Place
of Residence: Informal Hiring Networks and Labor Market Outcomes. CES
05-23 October 2005.
The 1990 Census long form data was used to measure social interaction by
comparing the propensity of individuals living in the same vs. nearby blocks
to work in the same location. They found that residing on the same block
increased the probability of working together by over 33 percent. When the
characteristics of persons (age, education and presence of children)
matched, these interactions were even stronger.
Fu, Shine. Smart Café Cities: Testing Human Capital Externalities in the
Boston Metropolitan Area. CES 05-24 October 2005.
Human Capital Externalities or knowledge spillover are benefits that
accrue to workers from being close to a dense skilled labor market. Most
work done on these externalities have been at the macro-scale of
metropolitan areas. This effort examines microgeographic scale of
externalities by using census tracts, block groups and blocks. This paper
used the 1990 Census long form data using worker and job characteristics and
job location. They found that these benefits are very localized within
microgeographic scales.
So, the good news is that other people besides the transportation community
have benefited from the detailed PLACE OF WORK geocoding in the Decennial
Census long form. What can we learn from this? To get projects approved
in the CES RDC system, we would probably have better luck if we discussed
our research in terms of economic productivity and labor market benefits,
rather than benefiting transportation planning. Also, we can expect that
researchers on labor market outcomes will want to use ACS results on place
of work in the future.
Elaine Murakami