Residential Property Price Indexes: Compilation Methods and Applications

Understanding real estate price movements is critical for monitoring economic stability, assessing financial risk, and making informed investment decisions. This course provides a clear, step-by-step guide to the theories, data collection practices, and statistical methodologies used to compile residential property price indexes (RPPI). You will learn how to transform raw housing market data into reliable economic indicators that reflect true market trends. What you will learn: Understand the foundational economic concepts and terminology of residential property markets; Identify and evaluate diverse data sources, including administrative records, tax databases, and real estate listings; Apply statistical methods such as stratification and hedonic regression to control for property quality changes; Address modern data challenges, including handling sparse data and integrating digital real estate platforms; Analyze and interpret price indexes to assess housing market health and macroeconomic risk. The course begins with essential terminology, basic concepts, and foundational definitions before guiding you through practical compilation methodologies and real-world application scenarios. This course is designed for beginners, financial analysts, policy researchers, and real estate professionals seeking a structured introduction to property price statistics, with no advanced mathematical prerequisites. Start building your foundation in real estate index compilation today.