Construction Contractors Survey 2011
West Bank and Gaza, 2012
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Reference ID
PSE-PCBS-CON-2011-V1.0
Producer(s)
Palestinian Central Bureau of Statistics
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Identification
Survey ID Number
PSE-PCBS-CON-2011-V1.0
Title
Construction Contractors Survey 2011
Translated Title
مسح مقاولي الانشاءات 2011
Country
| Name | Country code |
|---|---|
| Palestine | PSE |
Study type
Enterprise Census [en/census]
Series Information
The Palestinian Central Bureau of Statistics issued the seventeenth 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 economic activities operating in the Palestinian Territory since 1994.
Abstract
The objective of the survey was to obtain data on:
1. Number of enterprises and persons engaged in construction contractors survey by activity.
2. Value of output, intermediate consumption and stocks.
3. Value added components.
4. Payments and transfers.
5. Assets and capital formation.
6. Contribution of the surveyed activities to the GDP and other national accounts variables.
1. Number of enterprises and persons engaged in construction contractors survey by activity.
2. Value of output, intermediate consumption and stocks.
3. Value added components.
4. Payments and transfers.
5. Assets and capital formation.
6. Contribution of the surveyed activities to the GDP and other national accounts variables.
Kind of Data
Sample survey data [ssd]
Unit of Analysis
Enterprise constitutes the primary sampling unit (PSU)
Version
Version Description
V1.0 (File to publication on internet for public use)
Version Date
2012-11-20
Scope
Notes
1.Identification data
2.Data about establishment assets.
3.Data about Purchasing goods for selling purpose
4.Number of employees in a company and their compensations.
5.Various payments and transfers
6.Other output expenses
7.Goods productions
8.Goods Production Inputs
9.Others Goods Production Inputs
10.Revenues of Services Rendered to Others
11.Indirect Fees and Taxes
12.Production Inputs Fuel and oil
13.Various transfers and revenues
14.Electricity and water
2.Data about establishment assets.
3.Data about Purchasing goods for selling purpose
4.Number of employees in a company and their compensations.
5.Various payments and transfers
6.Other output expenses
7.Goods productions
8.Goods Production Inputs
9.Others Goods Production Inputs
10.Revenues of Services Rendered to Others
11.Indirect Fees and Taxes
12.Production Inputs Fuel and oil
13.Various transfers and revenues
14.Electricity and water
Topics
| Topic | Vocabulary | URI |
|---|---|---|
| Economic Conditions and Indicators [1.2] | CESSDA | Link |
Keywords
| Keyword | Vocabulary | URI |
|---|---|---|
| Construction Survey | Glossary | Link |
Coverage
Geographic Coverage
West Bank and Gaza Strip
Universe
construction contractors Enterprises (private 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 | Financial | |
| The Representative Office of Norway | CFG | Financial |
| Swiss Agency for Development and Cooperation | CFG | Financial |
Sampling
Sampling Procedure
The sample of the economic surveys series 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 draw up an efficient representative sample (i.e., economic activity, size of workforce and geographical location).
This methodology was used to draw a sample of 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.
This methodology was used to draw a sample of 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.
Response Rate
·Response rate: 82.5%
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 . The weights are adjusted to compensate for nonresponse Enterprises
Data Collection
Dates of Data Collection
| Start | End |
|---|---|
| 2012-04-01 | 2012-06-15 |
Time periods
| Start date | End date |
|---|---|
| 2011-01-01 | 2011-12-31 |
Data Collection Mode
Face-to-face [f2f]
Supervision
Fieldwork
·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:
oFieldworkers
oFieldworkers supervisors
oFieldwork coordinator. (Each of them has responsibilities in monitoring )
·Project management receive a daily progress report about completeness and response.
·Conducting a refreshment training course during the stage of data collection for emphasizing the main issues of training and answering questions of fieldworkers about issues faced them in the field.
·We made another visit to some institutions which were visited by the researchers to confirm the accuracy of the data that have been given to researchers and that called the interview, these institutions has been selected randomly by withdrawing a random sample of 10% of the original sample of the survey, and then the data were compared with data from series surveys.
·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:
oFieldworkers
oFieldworkers supervisors
oFieldwork coordinator. (Each of them has responsibilities in monitoring )
·Project management receive a daily progress report about completeness and response.
·Conducting a refreshment training course during the stage of data collection for emphasizing the main issues of training and answering questions of fieldworkers about issues faced them in the field.
·We made another visit to some institutions which were visited by the researchers to confirm the accuracy of the data that have been given to researchers and that called the interview, these institutions has been selected randomly by withdrawing a random sample of 10% of the original sample of the survey, and then the data were compared with data from series surveys.
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 Collecting Method:
Data are gathered by using an interview with the enterprise owner or general manager by applying the survey questionnaire.
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 Collecting Method:
Data are gathered by using an interview with the enterprise owner or general manager by applying the survey questionnaire.
Data Collectors
| Name | Abbreviation | Affiliation |
|---|---|---|
| Palestinian Central Bureau of Statistics | PCBS | Palestinian National Authority |
Questionnaires
Questionnaires
All of the economic surveys series used the same questionnaire, with a few different characteristics for each survey. The design of the 2011 questionnaire takes into account the major economic variables pertaining to the sector examined and the needs to be met to compile the National Accounts for Palestine.
Data Processing
Data Editing
For insuring quality and consistency of data a set of measures were taken into account for strengthening accuracy of data as follows:
·Preparing data entry program before data collection for checking readiness of the program for data entry.
·A set of validation rules were applied on the program for checking consistency of data.
·Efficiency of the program was checked through pre-testing in entering few questionnaires, including incorrect information for checking its efficiency, in capturing these information.
·Well trained data keyers were selected and trained for the main data entry.
·Weekly or biweekly data files were received by project management for checking accuracy and consistency, notes of correction are provided for data entry management for correction.
·Preparing data entry program before data collection for checking readiness of the program for data entry.
·A set of validation rules were applied on the program for checking consistency of data.
·Efficiency of the program was checked through pre-testing in entering few questionnaires, including incorrect information for checking its efficiency, in capturing these information.
·Well trained data keyers were selected and trained for the main data entry.
·Weekly or biweekly data files were received by project management for checking accuracy and consistency, notes of correction are provided for data entry management for correction.
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 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 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 | 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 Statistics2013, Economic Surveys Series - 2011. Version1.0(11-2012) 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
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
All Rights Reserved© October 2012, Palestinian Central Bureau of Statistics
Metadata production
DDI Document ID
DDI-PSE-PCBS-CON-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
2013-02-08
DDI Document version
Version 1.0 (Jan / 2013)