Labour Force Survey 2016
Romania, 2016
Identification
ROU_2016_LFS_v01_M
Labour Force Survey 2016
| Name | Country code |
|---|---|
| Romania | ROU |
Labor Force Survey [hh/lfs]
Starting with 1996, the household labour force survey is quarterly carried out, as a continuous research, thus allowing to get short-term data on the size and structure of labour force supply and to point out seasonal phenomena taking place on the labour market. The survey provides quarterly and annually (averages) results.
The LFS is designed as a continuous quarterly survey measures the labour status and other characteristics of the population in an averaged week in each quarter, by spreading the sample uniformly over all the weeks of the quarter.
Sample survey data [ssd]
- Households;
- Individuals.
Version
Version 01
2016
Scope
The scope of the survey includes:
- Personal Characteristics;
- Economic Activity;
- Labour Force Status;
- Occupation.
Coverage
National coverage.
Cities and settlements.
Producers and sponsors
| Name | Affiliation |
|---|---|
| National Institute of Statistics | NIS |
| Name |
|---|
| National Institute of Statistics |
Sampling
Because of the lack of appropriate registers (dwelling register, population register etc), the household surveys carried out by INS-Romania are based on the repeated use of a master sample, which involves further the use of multi-stage sampling designs. LFS sampling design has been founded on a two-stage sampling technique. The sampling plan is a two-stage probability sampling of clusters of housing units.
The sample is built up based on the dwellings rotation proceeding (“rotational scheme 2-2-2”), having as basic principle the following technique: a dwelling is surveyed for two successive quarters, it is temporarily taken out from the survey in the next two quarters, it is introduced again in the survey in the next two quarters, then it is taken out for good from the survey. Therefore, a dwelling is administered for 6 quarters.
The weights are calculated in three steps. The first step assigns the inverse of the selection probabilities to each sampled dwelling unit.
The second step adjusts for nonresponse, categorising the responding dwelling units by the following characteristics: county (NUTS 3) and urban/rural residency.
The third and final step consists in calibrating the secondary weights to the best latest available population totals by region / urban-rural residency, gender, 14 age groups (0-14, 15-19,…, 70-74, 75 and older) and the household totals by region, using the SAS macro Calmar.
In the calculation of weighting factors the totals known at population level from current demographic statistics, based on the 2002 Population Census and updated twice a year (1 January and 1 July), are used. The current demographic statistics used to calibrate the LFS estimates also include the institutional population.
Data collection
| Start | End |
|---|---|
| 2016 | 2016 |
| Name |
|---|
| National Institute of Statistics |
The data are collected only by face-to-face interviews using paper questionnaires. Data are collected with identical questionnaires through the whole year. The questionnaire is divided into two parts: dwelling questionnaire and individual questionnaire.
Depositor information
| Name | Affiliation |
|---|---|
| Poverty - GP | World Bank Group |
Data Access
The use of the datasets must be acknowledged using a citation which would include:
- the identification of the Primary Investigator (including country name)
- the full title of the survey and its acronym (when available), and the year(s) of implementation
- the survey reference number
- the source and date of download (for datasets disseminated online)
Example:
National Institute of Statistics. Romania Labour Force Survey (LFS) 2016, Ref. ROU_2016_LFS_v01_M. Dataset downloaded from [URL] on [date].
Disclaimer and copyrights
The user of the data acknowledges that the original collector of the data, the authorized distributor of the data, and the relevant funding agency bear no responsibility for use of the data or for interpretations or inferences based upon such uses.
Contacts
| Name | Affiliation | |
|---|---|---|
| ECA Team for Statistical Development | World Bank | ecatsd@worldbank.org |