Big Data for Sampling Design

• Tác giả: Juan Munoz
• Ngôn ngữ: eng
• Ký hiệu phân loại: 005.74 Data files and databases
• Thông tin xuất bản: World Bank, Washington, DC, 2020
• Bộ sưu tập: Tài liệu truy cập mở
• ID: 312295
• Chủ đề: 1. BIG DATA; 2. MIGRATION; 3. SAMPLING DESIGN; 4. STRATIFICATION; 5. WEIGHT CALIBRATION

Tóm tắt

The worsening of Ecuador's socioeconomic conditions and the rapid inflow of Venezuelan migrants demand a rapid government response. Representative information on the migration and host communities is vital for evidence-based policy design. This study presents an innovative methodology based on the use of big data for sampling design of a representative survey of migrants and host communities' populations. This approach tackles the difficulties posed by the lack of information on the total number of Venezuelan migrants-regular and irregular-and their geographical location in the country. The total estimated population represents about 3 percent of the total Ecuadoran population. Venezuelans settled across urban areas, mainly in Quito, Guayaquil, and Manta (Portoviejo). The strategy implemented may be useful in designing similar exercises in countries with limited information (that is, lack of a recent census or migratory registry) and scarce resources for rapidly gathering socioeconomic data on migrants and host communities for policy design.