Labor Force Survey 2000
West Bank and Gaza, 2000
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Reference ID
PSE-PCBS-LFS-2000-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Created on
Feb 22, 2021
Last modified
Feb 22, 2021
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Identification
Survey ID Number
PSE-PCBS-LFS-2000-V1.0
Title
Labor Force Survey 2000
Translated Title
مسح القوى العاملة 2000
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Labor Force Survey [hh/lfs]
Series Information
This programme consists of an integrated series of labour force surveys, the first of which was issued in October 1995. The Palestinian Labour Force Survey Programme conducts surveys quarterly.
The main objective of collecting data on the Palestinian labour force 2000 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.
The main objective of collecting data on the Palestinian labour force 2000 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
2017-03-22
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 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.
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 Palestine
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 |
| The Core Funding Group | CFG | Financial assistance |
| Swiss Agency for Development and Cooperation | SDC | Financial assistance |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| The Core Funding Group represented by the representative office | CFG | responded to the survey instrument |
| Swiss Agency for Development and Cooperation | SDC | responded to the survey instrument |
Sampling
Sampling Procedure
Sampling Frame
The sampling frame consisted of a master sample of enumeration areas (EAs) selected from the population housing and estableshment census 1997, the master sample cosists of area units of relatively equal size (number of housholds), these units have been used as primary sampling units (PSUs).
Sampling Frame and Target Population:
Target Population:
It consists of all individuals aged 10 years and older normally residing in their households in Palestine during 2000.
Sample Design:
The sample is a two-stage stratified cluster random sample.
Stratification:
Two levels of stratification were made:
Stratification by Governorates.
Stratification by type of locality which comprises:
(a) Urban (b) Rural (c) Refugee Camps
Sample Rotation:
Each round of the Labor Force Survey covers all of the 481 master sample enumeration areas. Basically, the areas remain fixed over time, but households in 50% of the EAs were replaced in each round. The same households remain in the sample for two consecutive rounds, left for the next two rounds, then selected for the sample for another two consecutive rounds before being dropped from the sample. An overlap of 50% is then achieved between both consecutive rounds and between consecutive years (making the sample efficient for monitoring purposes).
The sampling frame consisted of a master sample of enumeration areas (EAs) selected from the population housing and estableshment census 1997, the master sample cosists of area units of relatively equal size (number of housholds), these units have been used as primary sampling units (PSUs).
Sampling Frame and Target Population:
Target Population:
It consists of all individuals aged 10 years and older normally residing in their households in Palestine during 2000.
Sample Design:
The sample is a two-stage stratified cluster random sample.
Stratification:
Two levels of stratification were made:
Stratification by Governorates.
Stratification by type of locality which comprises:
(a) Urban (b) Rural (c) Refugee Camps
Sample Rotation:
Each round of the Labor Force Survey covers all of the 481 master sample enumeration areas. Basically, the areas remain fixed over time, but households in 50% of the EAs were replaced in each round. The same households remain in the sample for two consecutive rounds, left for the next two rounds, then selected for the sample for another two consecutive rounds before being dropped from the sample. An overlap of 50% is then achieved between both consecutive rounds and between consecutive years (making the sample efficient for monitoring purposes).
Response Rate
The estimated sample size in the first quarter was 7,559 households, in the second quarter it was 7,559 households, in the third quarter it was 7,559 households and in the fourth quarter it was 7,559 households.
The total number of the households was about 30,236 households. In the fourth quarter only 7,349 houshold have been interviewed due to the Israeli comprehensive closure and aggression against the palestinian people.
" The overall response rate for the survey was 89.5%
The total number of the households was about 30,236 households. In the fourth quarter only 7,349 houshold have been interviewed due to the Israeli comprehensive closure and aggression against the palestinian people.
" The overall response rate for the survey was 89.5%
Weighting
TWeights Calculation of households:
The weight of statistical units (sampling units) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is a two-stage stratified cluster sample. Thus, in the first stage we calculate the weight of enumeration areas depending on the probability of each enumeration area (a systematic random sample). In the second stage we calculate the weight of households in each enumeration area. Initial household weights resulted from the product of the weight of the first stage and the weight of the second stage. Final household weights were obtained after adjustment of initial weights with the household estimates of the middle of each quarter of 2000 with regard to design strata (governorate, locality type).
For individuals over 10 years, we added the final household weight for each person, then adjusted the initial individual weight with the estimates of individuals of the middle of each quarter of 2000 according to region (West Bank, Gaza Strip), sex ( male, female), five -year age groups (14 groups), then we obtained the final adjusted individual weight.
The weight of statistical units (sampling units) in the sample is defined as the mathematical inverse of the selection probability where the sample of the survey is a two-stage stratified cluster sample. Thus, in the first stage we calculate the weight of enumeration areas depending on the probability of each enumeration area (a systematic random sample). In the second stage we calculate the weight of households in each enumeration area. Initial household weights resulted from the product of the weight of the first stage and the weight of the second stage. Final household weights were obtained after adjustment of initial weights with the household estimates of the middle of each quarter of 2000 with regard to design strata (governorate, locality type).
For individuals over 10 years, we added the final household weight for each person, then adjusted the initial individual weight with the estimates of individuals of the middle of each quarter of 2000 according to region (West Bank, Gaza Strip), sex ( male, female), five -year age groups (14 groups), then we obtained the final adjusted individual weight.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2000-01-01 | 2000-12-31 |
Time periods
| Start date | End date |
|---|---|
| 2000-01-01 | 2000-12-31 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Re-interview
Field visits
Technical procedures to protect data
Field visits
Technical procedures to protect data
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
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 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
Data editing took place at a number of stages through the processing including:
1. office editing and coding
2. during data entry
3. structure checking and completeness
4. structural checking of SPSS data files
1. office editing and coding
2. during data entry
3. structure checking and completeness
4. structural checking of SPSS data files
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) for Year 2000
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 2000 . V 1.0 (05-2001). 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 2000.
Metadata production
DDI Document ID
DDI-PSE-PCBS-LFS-2000-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
2017-03-22
DDI Document version
Version 1.0 (March / 2017)