To Nathan (hope you don't mind me sharing your email) and all:
For the residence changes, we do have data from the decennial census and
the ACS. Celia Boertlein has provided these numbers:
For persons age 5 and over:
Nearly 15% of people move their residence each year, and nearly 45% move
in 5 years.
What I would LOVE to know is of the total worker population, how many
change EITHER or BOTH their residence location or workplace location in
a 1 year, 3 year and 5 year period.
Maybe what we really need is a longitudinal travel behavior survey,
perhaps along the lines of the German Mobility Panel. Some of you know
that while I was at PSRC, the Puget Sound Transportation Panel (PSTP)
was started in 1989, and continued until 2002, although travel behavior
data was not collected every year. However, as a regional panel, when
people moved out of the region, they were no longer in sample. This
special panel study began with an oversample of regular transit users
(at least 2 days per week) and regular carpoolers (at least 2 days a
week). The concept of a general purpose longitudinal travel behavior
survey has never "caught on" in the United States, although panels have
often been used in transportation "before and after" studies.
I believe that Heather Contrino is interested "brainstorming" ideas for
the future of the National Household Travel Survey, so I've cc'd her in
this email.
Elaine
-----Original Message-----
From: Nathan Erlbaum [mailto:nerlbaum(a)dot.state.ny.us]
Sent: Friday, April 25, 2008 5:28 AM
To: Murakami, Elaine
Subject: Re: [CTPP] How often do people change their workplacelocation?
LONG POST.
ok so people change jobs every 4 years....on the pop res side the number
is every 6 years or about 15-17% of the pop moves each year......the
real question is how does this change impact their o&d, and was there a
mode shift or travel time change....if you work in a major metro area
such as dc or nyc then changing jobs might simply mean getting off at a
different transit stop. In smaller metro areas it could be one side of
town verses the other. I think a similar issues exists on the
residence side , but it seems to me what is the net difference is the
question we need to understand because that changes the relationship in
the metro area between mobility and accessibility....very interesting
question here
>>> "Murakami, Elaine" <Elaine.Murakami(a)fhwa.dot.gov> 4/24/2008 5:50 PM
>>>
The average job tenure is about 4 years in the United States, but
varies
by age. The Canadian WES ( Workplace and Employment Survey) in their
2001/2002 panel found that 24% of workers made some change in one year:
9% different employer
9% not a paid worker anymore
6% same employer, but different job
But, I am not sure how much work patterns in Canada reflect patterns
in
the U.S. Also, "job tenure" is NOT quite the same question as
finding
how often people change their workplace LOCATION.
Because people move their residence, change their participation in the
labor force, change their workplace location and change their means of
transportation to work, the risk of identifying an individual in
aggregated CTPP tables (for Counties and Places with 20,000 or more)
should be reduced after accumulation over multiple years, even for
means
of transportation that have small shares.
I am trying to quantify these changes over time. We don't have a
transportation/travel behavior panel study that measures this
directly!
A longitudinal survey (or panel) is the best way to capture dynamics,
such as changes in residence location, changes in employment status
and
changes in workplace location. These kinds of surveys ask questions
of
the SAME population over time, so the change is measured directly,
rather than inferred from cross-sectional samples.
Mr. Gottschalck at the Census Bureau has provided me with information
on
how the Survey of Income and Program Participation (SIPP) could be
used
to analyze SOME of these changes, but it is not straightforward and
would take some effort! Also, one could have the SAME employer (in
the
SIPP) but change their work location, for example, to work at one CVS
drugstore or Bank of American and switch to another branch, so any
estimates from SIPP would be somewhat lower than "truth".
Have you worked with the SIPP, or do you have another data source that
might provide some light on this question? Do you have a graduate
student who might be interested in pursuing this question? Even if
my
main interest lies in analyzing risk for CTPP tabulations, it is
clearly
relevant to travel demand management issues, as the best time to
influence travel mode to work might be when the workplace or residence
location changes.
Thanks!
Elaine Murakami
FHWA Office of Planning
206-220-4460
-----Original Message-----
From: alfred.o.gottschalck(a)census.gov
[mailto:alfred.o.gottschalck(a)census.gov]
Sent: Wednesday, April 23, 2008 7:48 AM
To: Murakami, Elaine
Cc: thomas.j.palumbo(a)census.gov
Subject: RE: Labor Force turnover from SIPP
Hello Elaine --
OK, I now fully understand your question.
You should be able to use SIPP to construct a turnover rate pertaining
to
the length of the panel. You would have to link together the
individual
waves of the panel (nine in total), and then create monthly variables
for
the entire panel. The most recent complete panel would be the 2001
panel,
which is three years in length, so you would have 36 monthly variables
(e.g., AGE01, AGE02, ..., AGE36). The 2004 panel is still ongoing and
not
scheduled to be complete until the latter half of 2008.
You would have to do some programming to produce such estimates,
essentially calculating a job change when a job ID changes. The job
ID
you
would have to create, and you would define a change as you see fit.
SIPP
collects information for up to two jobs, and I would suggest that you
simply limit your analysis to job 1 for the time being until you have
your
code set. You should have sufficient sample size for each of your age
groups at the national level.
The SIPP data dictionary is available at:
http://www.bls.census.gov/sipp_ftp.html#sipp . The SIPP homepage can
be
accessed at: http://www.sipp.census.gov/sipp/ . Data can be
dowloaded
via
FTP from the SIPP home page, as well as technical documentation on how
to
use the SIPP files.
Below are some variable data dictionary entries that would get you
started
in identifying job "changes" as you specified in your prior email:
D EENO1 2 883
T JB: Across-wave employer index/number
Unique job number that will remain the
same from wave to wave. NOTE: See entry
for ACAROVR1 below.
U All persons 15+ at end of reference period who
had a job during the reference period.
EPOPSTAT = 1 and EPDJBTHN = 1 and (EJOBCNTR >
0 or ECFLAG =1)
V 01:99 .Job ID
V -1 .Not in Universe
D ESTLEMP1 2 885
T JB: Still working for this employer
Is ... employed by this employer now?
U All persons 15+ at end of reference period who
had a job during the reference period and who
were not contingent workers. EPOPSTAT = 1 and
EPDJBTHN = 1 and EJOBCNTR > 0 and ECFLAG not
equal to 1
V -1 .Not in Universe
V 1 .Yes
V 2 .No
D TSJDATE1 8 888
T JB: Starting date of job
When did ... start this job? Year digits
1-4 Range 1934:2008 Month digits 5-6
Range 01:12 Day digits 7-8 Range 01:31
NOTE: See entry for ACAROVR1 below.
U All persons 15+ at end of reference period who
had a job during the reference period but
were not contingent workers. EPOPSTAT = 1 and
EPDJBTHN = 1 and EJOBCNTR > 0 and ECFLAG not
equal to 1
V 19340101:20080131 .Date
V -1 .Not in Universe
D TEJDATE1 8 897
T JB: Ending date of job
When did this employment end? Year
digits 1-4 Range 2003:2008 Month digits
5-6 Range 01:12 Day digits 7-8
Range 01:31
U All persons 15+ at end of reference period who
had a job during the reference period, but
were not contingent workers, and whose job
ended during the reference period. EPOPSTAT =
1 and EPDJBTHN = 1 and EJOBCNTR > 0 and
ECFLAG not equal to 1 and ESTLEMP1 = 2
V 20031001:20080131 .Date
V -1 .Not in Universe
If you have any other questions, please feel free to contact me.
Sincerely,
Alfred Gottschalck
Alfred Gottschalck, Ph.D.
Economist
HHES
U.S. Census Bureau
------------------------------------
Dear Mr. Gottschalck-
What I am looking for is the PERCENT of workers WHO CHANGE THEIR JOB
LOCATION once (or more) within a 3 year period, preferably by AGE
(under
age 30, 30 to 59, 60 and over). For simplicity, we can assume that
people who change their employer simultaneously change their workplace
location. Also, people who leave the labor force in the 3 year period
would also be counted in the proportion of changers.
Even better would be the PERCENT of workers WHO CHANGE EITHER THEIR
RESIDENCE LOCATION OR THEIR WORKPLACE LOCATION in a 3 year period.
But
I don't want to be greedy.
I found your paper http://www.sipp.census.gov/sipp/p70s/p70-96.pdf
so I am hoping that you can help me out! I got some data from the
Canadian WES, but would prefer to use U.S. data, even if it is older.
Thanks in advance.
Elaine Murakami
FHWA Office of Planning
206-220-4460
_______________________________________________
ctpp-news mailing list
ctpp-news(a)chrispy.nethttp://www.chrispy.net/mailman/listinfo/ctpp-news
Over the past few months many of the plans for the CTPP program ACS data
have been coming together. On May 21, 2008 the leadership of the AASHTO
Census Data working group under the direction of Jonette Kreideweis and
the CTPP Technical Advisory Group lead by Elaine Murakami will host a
webinar to update the user community on the status of the CTPP program.
Below is the invitation and the link that you will have to follow to
preregister.
----------------------
What is going on with the Census Transportation Planning Products
Program?
On Wednesday, May 21, 2008 the CTPP Technical Advisory Group in
coordination with AASHTO Standing Committee on Planning (SCOP) Census
Work Group will host a Town Hall webinar to help bring the community up
to date on what is happening with the CTPP. Now that the American
Community Survey has begun to produce data and the AASHTO CTPP
Consolidated Purchase is funded, plans are moving ahead with the
development of the CTPP program.
The Town Hall meeting will begin promptly at Noon (Eastern) and run for
2 hours. It will include presentations along with ample time for
question and answers. Topics covered will include:
AASHTO Status report on Oversight Board and Work Plan
AASHTO SCOP Census Work Group activities
- Table definition and Disclosure Review Board issues
- Data access software design
- Research and Capacity Building proposals
TAZ definition timeframe
Research activities
- NCHRP projects: Disclosure Avoidance (synthetic data), Combining ACS
with LEHD, Using ACS
- FHWA activities: Workplace Allocation, and Web Access flow data
Space is very limited and advanced preregistration is necessary. To
register go here and complete the form.
http://www.nhi.fhwa.dot.gov/resources/webconference/web_conf_learner_reg.as…
Currently we only have 49 slots for this meeting and if you have
difficulty registering please let Ed Christopher know edc(a)berwyned.com
or 708-283-3534.
--
Ed Christopher
708-283-3534 (V)
708-574-8131 (cell)
FHWA RC-TST-PLN
19900 Governors Dr
Olympia Fields, IL 60461
The average job tenure is about 4 years in the United States, but varies
by age. The Canadian WES ( Workplace and Employment Survey) in their
2001/2002 panel found that 24% of workers made some change in one year:
9% different employer
9% not a paid worker anymore
6% same employer, but different job
But, I am not sure how much work patterns in Canada reflect patterns in
the U.S. Also, "job tenure" is NOT quite the same question as finding
how often people change their workplace LOCATION.
Because people move their residence, change their participation in the
labor force, change their workplace location and change their means of
transportation to work, the risk of identifying an individual in
aggregated CTPP tables (for Counties and Places with 20,000 or more)
should be reduced after accumulation over multiple years, even for means
of transportation that have small shares.
I am trying to quantify these changes over time. We don't have a
transportation/travel behavior panel study that measures this directly!
A longitudinal survey (or panel) is the best way to capture dynamics,
such as changes in residence location, changes in employment status and
changes in workplace location. These kinds of surveys ask questions of
the SAME population over time, so the change is measured directly,
rather than inferred from cross-sectional samples.
Mr. Gottschalck at the Census Bureau has provided me with information on
how the Survey of Income and Program Participation (SIPP) could be used
to analyze SOME of these changes, but it is not straightforward and
would take some effort! Also, one could have the SAME employer (in the
SIPP) but change their work location, for example, to work at one CVS
drugstore or Bank of American and switch to another branch, so any
estimates from SIPP would be somewhat lower than "truth".
Have you worked with the SIPP, or do you have another data source that
might provide some light on this question? Do you have a graduate
student who might be interested in pursuing this question? Even if my
main interest lies in analyzing risk for CTPP tabulations, it is clearly
relevant to travel demand management issues, as the best time to
influence travel mode to work might be when the workplace or residence
location changes.
Thanks!
Elaine Murakami
FHWA Office of Planning
206-220-4460
-----Original Message-----
From: alfred.o.gottschalck(a)census.gov
[mailto:alfred.o.gottschalck(a)census.gov]
Sent: Wednesday, April 23, 2008 7:48 AM
To: Murakami, Elaine
Cc: thomas.j.palumbo(a)census.gov
Subject: RE: Labor Force turnover from SIPP
Hello Elaine --
OK, I now fully understand your question.
You should be able to use SIPP to construct a turnover rate pertaining
to
the length of the panel. You would have to link together the individual
waves of the panel (nine in total), and then create monthly variables
for
the entire panel. The most recent complete panel would be the 2001
panel,
which is three years in length, so you would have 36 monthly variables
(e.g., AGE01, AGE02, ..., AGE36). The 2004 panel is still ongoing and
not
scheduled to be complete until the latter half of 2008.
You would have to do some programming to produce such estimates,
essentially calculating a job change when a job ID changes. The job ID
you
would have to create, and you would define a change as you see fit.
SIPP
collects information for up to two jobs, and I would suggest that you
simply limit your analysis to job 1 for the time being until you have
your
code set. You should have sufficient sample size for each of your age
groups at the national level.
The SIPP data dictionary is available at:
http://www.bls.census.gov/sipp_ftp.html#sipp . The SIPP homepage can be
accessed at: http://www.sipp.census.gov/sipp/ . Data can be dowloaded
via
FTP from the SIPP home page, as well as technical documentation on how
to
use the SIPP files.
Below are some variable data dictionary entries that would get you
started
in identifying job "changes" as you specified in your prior email:
D EENO1 2 883
T JB: Across-wave employer index/number
Unique job number that will remain the
same from wave to wave. NOTE: See entry
for ACAROVR1 below.
U All persons 15+ at end of reference period who
had a job during the reference period.
EPOPSTAT = 1 and EPDJBTHN = 1 and (EJOBCNTR >
0 or ECFLAG =1)
V 01:99 .Job ID
V -1 .Not in Universe
D ESTLEMP1 2 885
T JB: Still working for this employer
Is ... employed by this employer now?
U All persons 15+ at end of reference period who
had a job during the reference period and who
were not contingent workers. EPOPSTAT = 1 and
EPDJBTHN = 1 and EJOBCNTR > 0 and ECFLAG not
equal to 1
V -1 .Not in Universe
V 1 .Yes
V 2 .No
D TSJDATE1 8 888
T JB: Starting date of job
When did ... start this job? Year digits
1-4 Range 1934:2008 Month digits 5-6
Range 01:12 Day digits 7-8 Range 01:31
NOTE: See entry for ACAROVR1 below.
U All persons 15+ at end of reference period who
had a job during the reference period but
were not contingent workers. EPOPSTAT = 1 and
EPDJBTHN = 1 and EJOBCNTR > 0 and ECFLAG not
equal to 1
V 19340101:20080131 .Date
V -1 .Not in Universe
D TEJDATE1 8 897
T JB: Ending date of job
When did this employment end? Year
digits 1-4 Range 2003:2008 Month digits
5-6 Range 01:12 Day digits 7-8
Range 01:31
U All persons 15+ at end of reference period who
had a job during the reference period, but
were not contingent workers, and whose job
ended during the reference period. EPOPSTAT =
1 and EPDJBTHN = 1 and EJOBCNTR > 0 and
ECFLAG not equal to 1 and ESTLEMP1 = 2
V 20031001:20080131 .Date
V -1 .Not in Universe
If you have any other questions, please feel free to contact me.
Sincerely,
Alfred Gottschalck
Alfred Gottschalck, Ph.D.
Economist
HHES
U.S. Census Bureau
------------------------------------
Dear Mr. Gottschalck-
What I am looking for is the PERCENT of workers WHO CHANGE THEIR JOB
LOCATION once (or more) within a 3 year period, preferably by AGE (under
age 30, 30 to 59, 60 and over). For simplicity, we can assume that
people who change their employer simultaneously change their workplace
location. Also, people who leave the labor force in the 3 year period
would also be counted in the proportion of changers.
Even better would be the PERCENT of workers WHO CHANGE EITHER THEIR
RESIDENCE LOCATION OR THEIR WORKPLACE LOCATION in a 3 year period. But
I don't want to be greedy.
I found your paper http://www.sipp.census.gov/sipp/p70s/p70-96.pdf
so I am hoping that you can help me out! I got some data from the
Canadian WES, but would prefer to use U.S. data, even if it is older.
Thanks in advance.
Elaine Murakami
FHWA Office of Planning
206-220-4460
