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Construction Contractors Survey 2007 - West Bank and Gaza

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www.pcbs.gov.ps2020-04-29 更新2025-03-23 收录
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Abstract --------------------------- he 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. Geographic coverage --------------------------- West Bank and Gaza Strip Analysis unit --------------------------- Enterprise constitutes the primary sampling unit (PSU) Universe --------------------------- All enterprises in construction contractors survey (comprehensive) Kind of data --------------------------- Sample survey data [ssd] Sampling procedure --------------------------- Comprehensive Survey Mode of data collection --------------------------- Face-to-face [f2f] Research instrument --------------------------- They are two forms of the construction contractors survey questionnaire 2007, the first one is related to household and branches, 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. Cleaning operations --------------------------- For insuring quality and consistency of data a set of measures were taken in to 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 by weekly data files were received by project management for checking accuracy and consistency, notes of correction are provided for data entry management for correction. Response rate --------------------------- Number of enterprises 607 · Non-response cases was 36. · Over coverage cases was 4. · Net sample: 607-4= 603. · Response rate: 94.1%. · Non-response rate: 5.9%. Sampling error estimates --------------------------- 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.

摘要 --------------------------- 本调查的目的是收集以下数据: 1. 按活动分类的参与建筑承包商调查的企业和人员数量。 2. 输出价值、中间消费和库存的价值。 3. 价值增加的组成部分。 4. 支付和转移。 5. 资产和资本形成。 6. 被调查活动对国内生产总值和其他国家账户变量的贡献。 地理覆盖范围 --------------------------- 西岸和加沙地带 分析单位 --------------------------- 企业构成主要抽样单位(PSU) 总体 --------------------------- 建筑承包商调查中的所有企业(全面调查) 数据类型 --------------------------- 样本调查数据 [ssd] 抽样程序 --------------------------- 全面调查 数据收集方式 --------------------------- 面对面 [f2f] 研究工具 --------------------------- 建筑承包商调查问卷2007年有两种形式,第一种与家庭和分支机构相关,第二种与非金融公司部门相关。问卷包含以下主要变量: 1. 公司员工数量及其薪酬。 2. 主要和次要活动的产出。 3. 商品生产投入。 4. 各种支付和转移。 5. 间接税。 6. 企业资产。 数据清洗操作 --------------------------- 为确保数据的质量和一致性,采取了一系列措施以增强数据的准确性,具体如下: · 在数据收集前准备数据录入程序,以检查程序的数据录入准备情况。 · 在程序上应用一组验证规则,以检查数据的一致性。 · 通过预先测试少量包含错误信息的问卷,包括检查其效率,以检查程序的有效性。 · 选择并培训了经过良好培训的数据录入员进行主要数据录入。 · 项目管理每周或按周接收数据文件,以检查准确性和一致性,并为数据录入管理提供纠正笔记。 响应率 --------------------------- 企业数量 607 · 非响应案例 36。 · 覆盖过度案例 4。 · 净样本:607-4= 603。 · 响应率:94.1%。 · 非响应率:5.9%。 抽样误差估计 --------------------------- 非统计误差 这类误差可能出现在调查的任何一个或所有阶段,包括数据收集和数据录入: 响应误差:这类误差与受访者、现场工作人员和数据录入人员相关。为了避免错误并减少其影响,采取了一系列行动,通过从现场收集数据和数据处理的过程来提高数据的准确性。
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