COVID-19 Related Shocks Survey in Rural India 2020, Round 1 - India

Name: COVID-19 Related Shocks Survey in Rural India 2020, Round 1 - India
Creator: microdata.worldbank.org
Published: 2021-01-14 00:00:00
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microdata.worldbank.org2021-01-14 更新2025-01-08 收录

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Abstract --------------------------- An effective policy response to the economic impacts of the COVID-19 pandemic requires an enormous range of data to inform the design and response of programs. Public health measures require data on the spread of the disease, beliefs in the population, and capacity of the health system. Relief efforts depend on an understanding of hardships being faced by various segments of the population. Food policy requires measurement of agricultural production and hunger. In such a rapidly evolving pandemic, these data must be collected at a high frequency. Given the unexpected nature of the shock and urgency with which a response was required, Indian policymakers needed to formulate policies affecting India's 1.4 billion people, without the detailed evidence required to construct effective programs. To help overcome this evidence gap, the World Bank, IDinsight, and the Development Data Lab sought to produce rigorous and responsive data for policymakers across six states in India: Jharkhand, Rajasthan, Uttar Pradesh, Andhra Pradesh, Bihar, and Madhya Pradesh. Geographic coverage --------------------------- Jharkhand, Rajasthan, Uttar Pradesh, Andhra Pradesh, Bihar, and Madhya Pradesh Analysis unit --------------------------- Household Kind of data --------------------------- Sample survey data [ssd] Sampling procedure --------------------------- The samples for these surveys were drawn from surveys and impact evaluations previously conducted by the World Bank, the Ministry of Rural Development, India and IDInsight. A detailed note on the sampling frames is available for download. Sampling deviation --------------------------- Details will be made available after all rounds of data collection and analysis is complete. Mode of data collection --------------------------- Computer Assisted Telephone Interview [cati] Research instrument --------------------------- The survey questionnaire consists of the following modules: - Module 0: Introduction - Module 1: Migration - Module 2: Labor and Income - Module 3: Consumption - Module 4: Agriculture - Module 5: Access to Relief - Module 6: Health Response rate --------------------------- ~55%

针对COVID-19大流行对经济影响的有效政策响应，需依托广泛的数据资源以指导项目设计与应对策略。公共卫生措施依赖于疾病传播、公众信念以及卫生系统能力的相关数据。救济行动取决于对人口各阶层面临困境的理解。粮食政策需对农业生产和饥饿状况进行衡量。在如此迅速演变的疫情中，这些数据必须以高频率收集。鉴于冲击的意外性质及响应的紧迫性，印度政策制定者在未具备构建有效项目所需详细证据的情况下，需制定影响印度14亿人口的政策。为弥合这一证据缺口，世界银行、IDinsight和开发数据实验室旨在为印度六个州的决策者提供严谨且具有响应性的数据：达拉特、拉贾斯坦、乌塔拉普拉德什、安得拉普拉德什、比哈尔和马哈拉施特拉邦。地理覆盖范围 --------------------------- 达拉特、拉贾斯坦、乌塔拉普拉德什、安得拉普拉德什、比哈尔和马哈拉施特拉邦分析单元 --------------------------- 家庭数据类型 --------------------------- 样本调查数据[ssd] 抽样程序 --------------------------- 本调查的样本源自世界银行、印度农村发展部以及IDInsight先前进行的调查和影响评估。有关抽样框架的详细说明可供下载。抽样偏差 --------------------------- 在数据收集和分析的各轮完成后，将提供详细信息。数据收集方式 --------------------------- 计算机辅助电话访谈[cati] 研究工具 --------------------------- 调查问卷由以下模块组成： - 模块0：介绍 - 模块1：移民 - 模块2：劳动与收入 - 模块3：消费 - 模块4：农业 - 模块5：救济获取 - 模块6：健康响应率 --------------------------- 约55%

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