Labor Force Survey 1997
West Bank and Gaza, 1997
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Reference ID
PSE-PCBS-LFS-1997-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Feb 22, 2021
Last modified
Feb 22, 2021
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Identification
Survey ID Number
PSE-PCBS-LFS-1997-V1.0
Title
Labor Force Survey 1997
Translated Title
مسح القوى العاملة 1997
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Labor Force Survey [hh/lfs]
Series Information
The main objective of collecting data on the Palestinian labour force 1997 including components of employment, unemployment and underemployment, is to provide basic information on the relative size and structure of the Palestinian labour force. Data collected at different points in time provide a basis for monitoring current trends and changes in the labour market and in employment. These data supported with information on other aspects of the economy provide a basis for the evaluation and analysis of macro-economic policies.
Abstract
Focuses mainly on labour force key indicators, main characteristics of the employed, unemployed, underemployed and persons outside labour force, labour force according to level of education, distribution of the employed population by occupation, economic activity, place of work, employment status, hours and days worked and average daily wage in NIS for the employees.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Household, individual
Version
Version Description
Version 1.0 dataset for public distribution
Version Date
2017-03-23
Scope
Notes
The lfs questionnaire consists of four main sections:
Identification Data:
The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code.
Quality Control:
This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data.
Household Roster:
This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc.
Employment Part:
This part involves the major research indicators, where one questionnaire had been answered by every 15 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.
Identification Data:
The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code.
Quality Control:
This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data.
Household Roster:
This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc.
Employment Part:
This part involves the major research indicators, where one questionnaire had been answered by every 15 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| LABOUR AND EMPLOYMENT [3] | CESSDA | Link |
Coverage
Geographic Coverage
The Data are representative at region level (West Bank, Gaza Strip), locality type (urban, rural, camp) and governorates
Universe
The survey covered all the Palestinian households who are a usual residence in the Palestinian Territory
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority |
Producers
| Name | Affiliation | Role |
|---|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority | Product the survey |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| The Palestinian National Authority | PNA | Financial assistance |
| Swiss Agency for Development and Cooperation | SDC | Financial assistance |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| Swiss Agency for Development and Cooperation | SDC | responded to the survey instrument |
Sampling
Sampling Procedure
Sampling Frame
In the absence of a population census since 1967, the major task, with regard to constructing a master sample, was developing a frame of suitable units covering the whole country. Such units have been used as the PSUs (Primary Sampling Units) in the first stage of selection. For the second stage of selection, all PSUs have been listed in the field at the household level. This provided a sampling frame for selecting the households.
Sample Design
The target population: consist of all Palestinian individuals aged 15 years and above living in West Bank and Gaza Strip, excluding nomads and persons living in institutions such as prisons, shelters.
Stratification
Four levels of stratification have been made:
Stratification by District.
Stratification by type of (Locality) which comprises:
(a) Municipalities (b)Villages (c)Refugee Camps
Stratification by locality size.
Stratification by cell identification in that order.
In the absence of a population census since 1967, the major task, with regard to constructing a master sample, was developing a frame of suitable units covering the whole country. Such units have been used as the PSUs (Primary Sampling Units) in the first stage of selection. For the second stage of selection, all PSUs have been listed in the field at the household level. This provided a sampling frame for selecting the households.
Sample Design
The target population: consist of all Palestinian individuals aged 15 years and above living in West Bank and Gaza Strip, excluding nomads and persons living in institutions such as prisons, shelters.
Stratification
Four levels of stratification have been made:
Stratification by District.
Stratification by type of (Locality) which comprises:
(a) Municipalities (b)Villages (c)Refugee Camps
Stratification by locality size.
Stratification by cell identification in that order.
Response Rate
" The overall response rate for the survey was 87.1%
Weighting
At the first stage, clusters or “cells” have been selected with (PPES) probability proportional to estimated measure of size (Mi) for unit (i):
Where the summation is over all clusters in the population; a-320 is the total number of selected clusters. It is highly desirable for the LFS to have a constant overall sampling rate (f), i.e. to have a self- weighting sample. This requires the second stage probability for the selection of households and persons within any sample cluster i to be
Where b is a constant (independent of i) to be determined so as to obtain the required sample size n = 7500 households. Since the measures of size Mi are likely to differ from the actual number Li of households listed in any cluster i, the actual number of households which shall be selected with the above f2i shall vary from one cluster to another and are given by:
Summing over all clusters in the sample gives the required constant b to achieve the target sample size n as:
Hence to control the overall sample size, b is determined after completing the listing in all sample areas.
The a above procedure allows for variation in sample sizes bi at the level of individual clusters, so as to provide a self-weighting sample. Households within each sample cluster shall be selected systematically from the lists prepared for that purpose, using the sampling interval,
Which is fixed for each cluster but varies between clusters depending on the measure of size (Mi) with which the area was selected at the first stage.
The sample-take bi must be allowed to vary depending on the actual number of households Li found after listing. However, provision must be made to avoid extreme variation in cluster sample size. This could be done by using the above procedure to compute the ratio (bi/b) for each cluster in the sample. If this ratio lies outside the range say 0.5 - 4.0, adjust bi i.e. the interval Ii to be applied for the selection of households in the cluster, so as to keep the ratio within the above range.
Where the summation is over all clusters in the population; a-320 is the total number of selected clusters. It is highly desirable for the LFS to have a constant overall sampling rate (f), i.e. to have a self- weighting sample. This requires the second stage probability for the selection of households and persons within any sample cluster i to be
Where b is a constant (independent of i) to be determined so as to obtain the required sample size n = 7500 households. Since the measures of size Mi are likely to differ from the actual number Li of households listed in any cluster i, the actual number of households which shall be selected with the above f2i shall vary from one cluster to another and are given by:
Summing over all clusters in the sample gives the required constant b to achieve the target sample size n as:
Hence to control the overall sample size, b is determined after completing the listing in all sample areas.
The a above procedure allows for variation in sample sizes bi at the level of individual clusters, so as to provide a self-weighting sample. Households within each sample cluster shall be selected systematically from the lists prepared for that purpose, using the sampling interval,
Which is fixed for each cluster but varies between clusters depending on the measure of size (Mi) with which the area was selected at the first stage.
The sample-take bi must be allowed to vary depending on the actual number of households Li found after listing. However, provision must be made to avoid extreme variation in cluster sample size. This could be done by using the above procedure to compute the ratio (bi/b) for each cluster in the sample. If this ratio lies outside the range say 0.5 - 4.0, adjust bi i.e. the interval Ii to be applied for the selection of households in the cluster, so as to keep the ratio within the above range.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 1997-01-01 | 1997-12-31 |
Time periods
| Start date | End date |
|---|---|
| 1997-01-01 | 1997-12-30 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Re-interview
Field visits
Field visits
Data Collection Notes
The purpose of the training courses was to teach participants the main skills needed to conduct interviews. Two training courses were held, one in Ramallah for the West Bank trainees, and one in Gaza City for Gaza Strip trainees. Each course consisted of two parts: one on survey methodology including survey design, questionnaire design, interviewing techniques, and field operations; and one part on specifications of the labour force survey, including concepts and definitions, fieldwork procedures, data collection, editing, coding, tips for asking questions and recording answers, as well as field team organization and field supervision
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
Questionnaires
TThe lfs questionnaire consists of four main sections:
Identification Data:
The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code.
Quality Control:
This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data.
Household Roster:
This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc.
Employment Part:
This part involves the major research indicators, where one questionnaire had been answered by every 10 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.
Identification Data:
The main objective for this part is to record the necessary information to identify the household, such as, cluster code, sector, type of locality, cell, housing number and the cell code.
Quality Control:
This part involves groups of controlling standards to monitor the field and office operation, to keep in order the sequence of questionnaire stages (data collection, field and office coding, data entry, editing after entry and store the data.
Household Roster:
This part involves demographic characteristics about the household, like number of persons in the household, date of birth, sex, educational level…etc.
Employment Part:
This part involves the major research indicators, where one questionnaire had been answered by every 10 years and over household member, to be able to explore their labour force status and recognize their major characteristics toward employment status, economic activity, occupation, place of work, and other employment indicators.
Data Processing
Data Editing
Editing before data entry
All questionnaires were edited again using the same instructions adopted for editing in the field.
Coding
In this stage, the industry underwent coding according to WBGS Standard Commodities Classification, which is based on United Nations ISIC-3. The industry for all employed and ever employed individuals was classified at the fourth-digit-level. The occupations were coded on the basis of the International Standard Occupational Classification, 1988 at the third-digit-level (ISCO-88).
Data Entry
In this stage data were entered to the computer using a data entry template written in BLAISE. The data entry program has satisfied many requirements such as:
The duplication of the questionnaire on the computer screen.
Logical and consistency checking of data entered.
Possibility for internal editing of questions answers.
Maintaining a minimum of digital data entry and field work errors.
A User- Friendless
Possibility of transferring data into another format to be used and analyzed using other statistical analytical systems such as SAS and SPSS.
Editing after data entry
In this stage, all questionnaires were edited after data entry in order to minimize errors related data entry.
All questionnaires were edited again using the same instructions adopted for editing in the field.
Coding
In this stage, the industry underwent coding according to WBGS Standard Commodities Classification, which is based on United Nations ISIC-3. The industry for all employed and ever employed individuals was classified at the fourth-digit-level. The occupations were coded on the basis of the International Standard Occupational Classification, 1988 at the third-digit-level (ISCO-88).
Data Entry
In this stage data were entered to the computer using a data entry template written in BLAISE. The data entry program has satisfied many requirements such as:
The duplication of the questionnaire on the computer screen.
Logical and consistency checking of data entered.
Possibility for internal editing of questions answers.
Maintaining a minimum of digital data entry and field work errors.
A User- Friendless
Possibility of transferring data into another format to be used and analyzed using other statistical analytical systems such as SAS and SPSS.
Editing after data entry
In this stage, all questionnaires were edited after data entry in order to minimize errors related data entry.
Data Appraisal
Estimates of Sampling Error
Detailed information on the sampling Error is available in the Survey Report.
Data Appraisal
Detailed information on the data appraisal is available in the Survey Report
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of Users Services | Palestinian Central Bureau of Statistics | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Confidentiality
General Statistics Law
No. (5)
Article (17
1. All individual information and data submitted to the Bureau for statistical purposes shall be treated as confidential and shall not be divulged, in whole or in part, to any individual or to a public or private body, or used for any purpose other than for preparing statistical tables.
2. The Bureau shall endeavor to issue official statistical publications in aggregate tables, which do not disclose individual data, in conformity with the confidentiality of statistical data.
Access conditions
License Agreement for the Use of Micro Data in PCBS
items(10,11,12) as following:
1. pledges the utilization of "data" or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.
2. Utilization of "data" or any copies thereof is limited to personal computers normally .
3. pledges not to alter the value of any observation in the original "data"; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
items(10,11,12) as following:
1. pledges the utilization of "data" or any copies thereof shall be limited to the purposes agreed upon including not granting any third parties any access to these data. Restrictions applies to any data duplication or transformed setting for purposes other than meeting the requirements of the statistical programs used in data analysis.
2. Utilization of "data" or any copies thereof is limited to personal computers normally .
3. pledges not to alter the value of any observation in the original "data"; nevertheless, this does not apply on subjecting data to any processes or procedures aiming to derive new variables. The first party does not bear any professional, administrative or financial responsibility for any losses incurred as a result of changes in the variables values.
Citation requirements
Palestinian Central Bureau of Statistics,Labor Force Survey 1997 . V 1.0 (03-2017). Ramallah - Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority | diwan@pcbs.gov.ps | www.pcbs.gov.ps |
Disclaimer and copyrights
Disclaimer
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.
Copyright
© All Rights Reserved.Palestinian Central Bureau of Statistics, Labor Force Survey 1997.
Metadata production
DDI Document ID
DDI-PSE-PCBS-LFS-1997-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian Nationa Authority | Production and execute the survey |
Date of Metadata Production
2017-03-23
DDI Document version
Version 1.0 (March / 2017)