|
New datasets
819. Labour Force Survey 2005
Source: Israel Central Bureau of Statistics
The series of
Labour Force Surveys (LFS) held by ISDC includes all LFS datasets from 1967 onward.
LFS is the principal survey of households conducted by
the Central Bureau of Statistics.
An annual dataset is composed of 4 quarterly Labour Force Surveys, each of them
conducted on a representative sample of Israel population aged 15+.
The surveys follow the development of the labour force in Israel, its size
and characteristics, the extent of unemployment and other trends. It is also a
source of data on living conditions, mobility in employment, and modes of job
seeking. The individual's record includes a few household details like family
size and composition, housing density, domestic help and place of residence,
on top of a full demographic profile of the respondent. Country of birth and
origin, schooling information, immigration data, detailed labour force
characteristics including hours of work, occupation, economic branch,
employees hired through employment agencies or employment contractors
and more. Quite a few items provide information on the unemployed such
as duration of unemployment, last job before unemployment, modes of job
seeking and discouraged workers. The Central Bureau of Statistics provides
two anonymous data versions. The PUF version is available for all users,
while the more detailed dataset is available only to Faculty members who
sign an MUC contract with the CBS (N=102,049).
949. CPS Labor Extracts (USA)
Source: BLS & NBER
The Current Population Survey (CPS)
is a government monthly household survey of employment and labor markets.
It is the source of the unemployment rate announced each month in the popular
press. Since 1968 public use micro data files have been available from the
Bureau of Labor Statistics for external analysis. In the interest of ease of use,
the NBER has prepared a
CD-ROM with extracts of the files from 1979 on. The extracts include individual
data for about 30,000 individuals each month. The 50 or so variables selected
relate to employment: hours worked, earnings, industry, occupation, education,
and unionization. The extracts also contain many background variables:
age, sex, race, ethnicity, geographic location, etc. Annual income is not
among the variables - that question is asked only in March. Aside from
standardizing the many different codes used by Census to indicate missing
values, most variables are just as created by Census. The extracts are
STATA binary .dta files that can be converted to SAS and other data formats.
These extracts were initiated and built by Dan Feenberg and Jean Roth.
Questions, suggestions, and corrections should be sent to Jean Roth at
jroth@nber.org.
ISDC has purchased this and other recent datasets with a special contribution
of the HU Social Sciences Library Committee.
A New Catalog System
The ISDC catalog is being converted from the old ALEPH 300 software to new
software based on the DDI.
The Data Documentation Initiative (DDI) is an international effort to establish a
standard for technical documentation describing social science data.
For the new catalog portal, ISDC uses NESSTAR – a DDI based European
enterprise for publishing and sharing of data on the Web. The new catalog
is being reviewed and updated, a process that is expected to last for the next year.
The catalog test version
can already be explored. Please send your comments and suggestions to
Eyal Nahum or to Hagai Dror.
Epilogue
After about 20 years at the data center and more than that at the Hebrew University,
I'm finally leaving (early retirement!) with the intention of starting a new adventure.
I am sure the ISDC will go on collecting and preserving data as well as serving
those who need the data and by that, support and encourage social sciences empirical research.
Until a new director is appointed, please refer any operational questions to
Natasha Volchkin. In policy
and scientific affairs, please contact Gad Nathan, the ISDC academic chairman.
May I use this opportunity to thank all of you – data users, data providers,
colleagues and others for your friendly work collaboration over the years.
Michal
|