Internal Trade Survey 2002
West Bank and Gaza, 2003
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Reference ID
PSE-PCBS-INT-2002-V1.0
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Palestinian Central Bureau of Statistics
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Identification
Survey ID Number
PSE-PCBS-INT-2002-V1.0
Title
Internal Trade Survey 2002
Translated Title
مسح احصاءات التجارة الداخلية 2002
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Enterprise Survey [en/oth]
Series Information
The central statistical offices in most countries place heavy emphasis on constructing sound databases for all activities within the services sector. PCBS' internal trade 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 internal trade survey, surveys on industry, services 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.
Abstract
TNational statistical offices in most countries place heavy emphasis on constructing sound databases for all activities within the economic activities. PCBS initiated, in the reference year 1994, the economic surveys series. The series includes, the services survey, surveys on industry, internal trade, construction-contractors, and transport and storage sectors.
Objectives:
The objective of the survey was to obtain data on:
1. Number of enterprises and persons engaged in Internal Trade by activity and location.
2. Value of output, intermediate consumption and stocks.
3. Value added components.
4. Payments and transfers.
5. Capital formation.
6. Contribution of the surveyed activities to the GDP and other National Accounts variables.
Target Population
PCBS depends on the International and Industrial Classification of all economic activities,
version 3, (ISIC – 3) by the United Nation to classify the economic activities.
The Internal trade survey covers the following activities:
1. Sale & repair of motor vehicles .
2. Wholesale trade & commission trade .
3. Retail trade, repair of personal goods
Objectives:
The objective of the survey was to obtain data on:
1. Number of enterprises and persons engaged in Internal Trade by activity and location.
2. Value of output, intermediate consumption and stocks.
3. Value added components.
4. Payments and transfers.
5. Capital formation.
6. Contribution of the surveyed activities to the GDP and other National Accounts variables.
Target Population
PCBS depends on the International and Industrial Classification of all economic activities,
version 3, (ISIC – 3) by the United Nation to classify the economic activities.
The Internal trade survey covers the following activities:
1. Sale & repair of motor vehicles .
2. Wholesale trade & commission trade .
3. Retail trade, repair of personal goods
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Enterprise constitutes the primary sampling unit (PSU)
Version
Version Description
v0.1: version (datasets for public use)
Version Date
2013-08-16
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 |
|---|---|---|
| Internal Trade | Guidebook of Statistical Definitions and Glossary | Link |
Coverage
Geographic Coverage
West Bank and Gaza Strip
Geographic Unit
West Bank and Gaza Strip
Universe
Sample from Internal Trade 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 |
| The Representative Office of Netherlands | NDL | financial |
| Swiss Agency for Development and Cooperation | (SDC) | financial |
| The World Bank | WB | financial |
| The European Commission | EC | financial |
| Department of International Development | DFID | financial |
Other Identifications/Acknowledgments
| Name | Affiliation | Role |
|---|---|---|
| The Palestinian National Authority | financial | |
| The Representative Office of Norway | CFG | financial |
| The Representative Office of Netherlands | CFG | financial |
| Swiss Agency for Development and Cooperation | CFG | financial |
| The World Bank | WB | financial |
| The European Commission | EC | financial |
| Department of International Development | DFID | financial |
Sampling
Sampling Procedure
The sample of the Internal trade Survey is a single-stage stratified random - systematic
sample in which the enterprise constitutes the primary sampling unit (PSU). Three levels of
strata were used to arrive at an efficient representative sample (i.e. economic activity, size of
employment and geographical levels). The sample size amounted to (1652) enterprises out of
the (39259 ) enterprises that comprise the survey frame.
sample in which the enterprise constitutes the primary sampling unit (PSU). Three levels of
strata were used to arrive at an efficient representative sample (i.e. economic activity, size of
employment and geographical levels). The sample size amounted to (1652) enterprises out of
the (39259 ) enterprises that comprise the survey frame.
Response Rate
Response rate: 82.3%
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 another one.
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 another one.
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2003-04-05 | 2003-06-15 |
Time periods
| Start date | End date |
|---|---|
| 2002-01-01 | 2002-12-31 |
Data Collection Mode
Face-to-face [f2f]
Supervision
For insuring data quality, a series of measures were taken in to a account that support accuracy of data collection through the following:
·Selection of specialized fieldwork team of economic back ground, the team was trained theoretically and practically on the survey questionnaire.
· The main fieldwork team was selected according to the training course.
· Field work visits by both fieldwork and project management staff for monitoring and following up data collection process and progress of work, An average of two visits for each governorate, a bout 90% of completed questionnaires was reviewed and corrected if needed, comments and notes were directed to the team accordingly.
· Different levels of supervision and monitoring toke place a according to the following division:
o Fieldworkers
o Fieldworkers supervisors
o Fieldwork coordinator. (Each of them has responsibilities in monitoring )
·Selection of specialized fieldwork team of economic back ground, the team was trained theoretically and practically on the survey questionnaire.
· The main fieldwork team was selected according to the training course.
· Field work visits by both fieldwork and project management staff for monitoring and following up data collection process and progress of work, An average of two visits for each governorate, a bout 90% of completed questionnaires was reviewed and corrected if needed, comments and notes were directed to the team accordingly.
· Different levels of supervision and monitoring toke place a according to the following division:
o Fieldworkers
o Fieldworkers supervisors
o Fieldwork coordinator. (Each of them has responsibilities in monitoring )
Data Collection Notes
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.
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 formof the Internal trade survey questionnaire 2002, the first one is related to
household and branches, and the second is related to non-finance companies sector. The
questionnaire contains of the following main variables:
1. Number of employees in a company and their compensations.
2. The output of the main and second activities.
3. Goods production inputs.
4. Various payments and transfers.
5. Indirect taxes.
6. Enterprises assets.
household and branches, and the second is related to non-finance companies sector. The
questionnaire contains of the following main variables:
1. Number of employees in a company and their compensations.
2. The output of the main and second activities.
3. Goods production inputs.
4. Various payments and transfers.
5. Indirect taxes.
6. Enterprises assets.
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, Economic Surveys Series - Revised Results,1998-2006. Version 1.0 Ramallah -
Palestine.
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
Palestinian Central Bureau of Statistics, Economic Surveys Series - Revised Results,1998-2006.
Metadata production
DDI Document ID
DDI-PSE-PCBS-INT-2002-V1.0
Producers
| Name | Abbreviation | Affiliation | Role |
|---|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority | Collection, processing data |
Date of Metadata Production
2013-08-13
DDI Document version
V1.0Version 1.0 (November 2004)