Services Survey 2011
West Bank and Gaza, 2011 - 2012
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Identification
Survey ID Number
PSE-PCBS-SER-2011-V1.0
Title
Services Survey 2011
Translated Title
مسح الخدمات 2011
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Enterprise Survey [en/oth]
Series Information
The Palestinian Central Bureau of Statistics is pleased to issue the Seventeen volume of the economic surveys for the Palestinian Territory, which presents the findings of the surveys conducted for 2011 as reference year. These surveys cover most of the economic activities operating in the Palestinian Territory since 1994.
Abstract
The central statistical offices in most countries place heavy emphasis on constructing sound databases for all activities within the services sector. PCBS’ Services Statistics Program is part of the Economic Statistics Program, which is part of the larger program for establishing the System of Official Statistics for Palestine. PCBS initiated, in the reference year 1994, the economic surveys series. The series includes, in addition to the services survey, surveys on industry, internal trade construction-contractors, and transport and storage sectors for the purpose of establishing a time series data base of economic activities in line with international recommendations specified in System of National Account (SNA) 93 and in the UN manual for Services Statistics. The sampling frame for the different economic surveys was based on the findings of the 2007 Establishment Census conducted by PCBS.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Enterprise constitutes the primary sampling unit (PSU)
Version
Version Description
V1.0: version (datasets for public use)
Version Date
2013-01-20
Scope
Notes
Identification data
Data about enterprise assets.
Purchasing goods for selling purpose.
Employed persons and their compensations
Various payments and transfers
Other output expenses
Goods productions
Goods Production Inputs
Revenues of Services Rendered to Others
Taxes on production and fees
Various transfers and revenues
Fuel and oil
Data about enterprise assets.
Purchasing goods for selling purpose.
Employed persons and their compensations
Various payments and transfers
Other output expenses
Goods productions
Goods Production Inputs
Revenues of Services Rendered to Others
Taxes on production and fees
Various transfers and revenues
Fuel and oil
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| economic conditions and indicators [1.2] | CESSDA | Link |
Keywords
| Keyword | Vocabulary | URI |
|---|---|---|
| Services | Statistical Definitions and Glossary | Link |
Coverage
Geographic Coverage
West Bank and Gaza Strip
Geographic Unit
West Bank and Gaza Strip
Universe
Sample from Services Enterprises (privet sector)
Producers and sponsors
Primary investigators
| Name | Affiliation |
|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority |
Funding Agency/Sponsor
| Name | Abbreviation | Role |
|---|---|---|
| The Palestinian National Authority | PNA | financial |
| The Representative Office of Norway | NOR | financial |
| Swiss Agency for Development and Cooperation | SDC | financial |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| The Palestinian National Authority | CFG | financial |
| The Representative Office of Norway | CFG | financial |
| Swiss Agency for Development and Cooperation | CFG | financial |
Sampling
Sampling Procedure
The sample of the Services Survey is a single-stage stratified random - systematic sample in which the enterprise constitutes the primary sampling unit (PSU). Four levels of strata were used to arrive at an efficient representative sample (i.e. economic activity, size of employment and geographical levels. The kind profit or non profit).
This methodology was used to draw a sample middle enterprises and whole frame for large enterprises based on the framework of large and middle enterprises alone; for small enterprises data were estimated based on a time series of the results of economic surveys.
Sample size was selected in the Palestinian Territories (1,406) enterprises from(2,894), represents the general framework (large and medium-sized enterprises)
This methodology was used to draw a sample middle enterprises and whole frame for large enterprises based on the framework of large and middle enterprises alone; for small enterprises data were estimated based on a time series of the results of economic surveys.
Sample size was selected in the Palestinian Territories (1,406) enterprises from(2,894), represents the general framework (large and medium-sized enterprises)
Response Rate
Response rate: 80.7%
Weighting
The sampling weight of the enterprise is the mathematical turned of the possibility selection of that enterprise. It is necessary to use weights in the estimation of the survey society because of the differentiation in the possibility of enterprises' selection from one another.
Data Collection
Dates of Data Collection
| Start | End | Cycle |
|---|---|---|
| 2012-04-01 | 2011-06-14 | yearly |
Time periods
| Start date | End date |
|---|---|
| 2011-01-01 | 2011-12-31 |
Data Collection Mode
Face-to-face [f2f]
Supervision
· A specialized field work team with a background in economics was selected and trained theoretically and practically on the surveys' questionnaire.
· The main field work team was selected based on skills acquired from the training course.
· Field work visits were made by both field work and project management staff to monitor and follow up the data collection process and the progress of work. Around 95% of completed questionnaires were reviewed and corrected if necessary and comments and notes were directed to the team accordingly.
· Various levels of supervision and monitoring took place according to the following division:
- Field workers
- Field worker supervisors
- Field work coordinator (each with monitoring responsibilities).
· Project management received a daily report on progress and response rates.
· A refresher training course was conducted during the stage of data collection to reinforce the main points made in training and to answer questions by field workers about issues faced in the field.
· Some institutions were visited by field workers for a second time to confirm the accuracy of the data obtained in the first interview. These institutions were selected at random by withdrawing a random sample of the original sample of the survey and these data were compared with data from the series surveys.
· The main field work team was selected based on skills acquired from the training course.
· Field work visits were made by both field work and project management staff to monitor and follow up the data collection process and the progress of work. Around 95% of completed questionnaires were reviewed and corrected if necessary and comments and notes were directed to the team accordingly.
· Various levels of supervision and monitoring took place according to the following division:
- Field workers
- Field worker supervisors
- Field work coordinator (each with monitoring responsibilities).
· Project management received a daily report on progress and response rates.
· A refresher training course was conducted during the stage of data collection to reinforce the main points made in training and to answer questions by field workers about issues faced in the field.
· Some institutions were visited by field workers for a second time to confirm the accuracy of the data obtained in the first interview. These institutions were selected at random by withdrawing a random sample of the original sample of the survey and these data were compared with data from the series surveys.
Data Collection Notes
Data Collecting
Questionnaire Test:
Doing a primitive pretest during two days to make a technical study of the questionnaire, study the rejection and the data quality.
Workers Selection and Training:
The interviewers in the fieldwork are selected from the experienced ones in the statistical work and they are also trained theoretically and practically.
Fieldwork operations:
They are initiated after the recruitment and training of qualified interviewers. The PCBS's Fieldwork Directorate administers fieldwork activities including interviewing activities.
Data Gathering Method:
Data are gathered by using an interview with the enterprise owner or general manager by applying the survey questionnaire.
Fieldwork Editing:
The interviewer and supervisor firstly edit technically the questionnaire according to editing rules.
Office Editing:
The office editor also edits the questionnaire in order to be ready to be sent to coding and data entry.
Coding:
After the editor finishes editing the questionnaire, a coding are used according to (ISIC - 3), then the questionnaire is transferred to data entry.
Questionnaire Test:
Doing a primitive pretest during two days to make a technical study of the questionnaire, study the rejection and the data quality.
Workers Selection and Training:
The interviewers in the fieldwork are selected from the experienced ones in the statistical work and they are also trained theoretically and practically.
Fieldwork operations:
They are initiated after the recruitment and training of qualified interviewers. The PCBS's Fieldwork Directorate administers fieldwork activities including interviewing activities.
Data Gathering Method:
Data are gathered by using an interview with the enterprise owner or general manager by applying the survey questionnaire.
Fieldwork Editing:
The interviewer and supervisor firstly edit technically the questionnaire according to editing rules.
Office Editing:
The office editor also edits the questionnaire in order to be ready to be sent to coding and data entry.
Coding:
After the editor finishes editing the questionnaire, a coding are used according to (ISIC - 3), then the questionnaire is transferred to data entry.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
Questionnaires
They are one forms of the services survey questionnaire 2011 of the Palestinian Territory, it's related to the non-financial companies sector. The questionnaire contains the following main variables:
1. The persons engaged in enterprise and compensation of these employees.
2. Value of output from the main activity and secondary activity.
3. Production inputs of goods and services.
4. Payments and transfers.
5. Taxes on production.
6. Assets and capital formation.
1. The persons engaged in enterprise and compensation of these employees.
2. Value of output from the main activity and secondary activity.
3. Production inputs of goods and services.
4. Payments and transfers.
5. Taxes on production.
6. Assets and capital formation.
Data Processing
Data Editing
To ensure the quality and consistency of data, a set of measures was introduced as follows:
· Creation of a data entry program prior to the collection of data to ensure this would be ready.
· A set of validation rules were applied to the program to check the consistency of data.
· The efficiency of the program was pre-tested by entering a few questionnaires including incorrect information and checking its efficiency in capturing the incorrect information.
· Well-trained data entry personnel were selected and trained for main data entry.
· Weekly data files were received by project management to be checked for accuracy and consistency: correction notes were provided to data entry management for implementation.
· Creation of a data entry program prior to the collection of data to ensure this would be ready.
· A set of validation rules were applied to the program to check the consistency of data.
· The efficiency of the program was pre-tested by entering a few questionnaires including incorrect information and checking its efficiency in capturing the incorrect information.
· Well-trained data entry personnel were selected and trained for main data entry.
· Weekly data files were received by project management to be checked for accuracy and consistency: correction notes were provided to data entry management for implementation.
Data Appraisal
Estimates of Sampling Error
Statistical Errors:
The findings of the survey are affected by statistical errors due to using sampling in conducting the survey for the units of the target population, which increases the chances of having variances from the actual values we expect to obtain from the data had we conducted the survey using comprehensive enumeration.. The variance of the key goods in the survey was computed and dissemination was carried out on the level of the Palestinian Territory for reasons related to sample design and computation of the variance of the different indicators.
Non-Statistical Errors
These types of errors could appear on one or all the survey stages that include data collection and data entry: Response errors: these types of errors are related to, responders, fieldworkers, and data entry personnel's. And to avoid mistakes and reduce the impact has been a series of actions that would enhance the accuracy of the data through a process of data collection from the field and the data processing.
The findings of the survey are affected by statistical errors due to using sampling in conducting the survey for the units of the target population, which increases the chances of having variances from the actual values we expect to obtain from the data had we conducted the survey using comprehensive enumeration.. The variance of the key goods in the survey was computed and dissemination was carried out on the level of the Palestinian Territory for reasons related to sample design and computation of the variance of the different indicators.
Non-Statistical Errors
These types of errors could appear on one or all the survey stages that include data collection and data entry: Response errors: these types of errors are related to, responders, fieldworkers, and data entry personnel's. And to avoid mistakes and reduce the impact has been a series of actions that would enhance the accuracy of the data through a process of data collection from the field and the data processing.
Access policy
Contacts
| Name | Affiliation | URL | |
|---|---|---|---|
| Division of user services | Palestinian Central Bureau of Statistics | diwan@pcbs.gov.ps | Link |
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
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.
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,2012, Economic Surveys Series, Main Results 2011. Ramallah - Palestine.
Access authority
| Name | Affiliation | URL | |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | Palestinian National Authority | diwan@pcbs.gov.ps | Link |
Disclaimer and copyrights
Disclaimer
PCBS provide data collected for purely statistical purposes, and therefore does not assume any responsibility for legal or professional from any claim or analysis or interpretation or misuse of this data.
Copyright
(c) All Rights Reserved. Palestinian Central Bureau of Statistics, Services Survey 2011
Metadata production
DDI Document ID
DDI-PSE-PCBS-SER-2011-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority | Collection, processing and dissemination data |
Date of Metadata Production
2013-01-20
DDI Document version
Version 1.0