دانلود کتاب راهنمای عملی برای تحلیل سری‌های زمانی

Understanding change over time is a critical component of social science. However, data measured over time – time series – require their own set of statistical and inferential tools. In this book, Suzanna Linn, Matthew Lebo, and Clayton Webb explain the most commonly used time series models and demonstrate their applications using examples. The guide outlines the steps taken to identify a series, determine exogeneity/endogeneity, and make appropriate modeling decisions and inferences. Detailing challenges and explanations of key techniques not covered in most time series textbooks, the authors show how navigating between data and models, deliberately and transparently, allows researchers to clearly explain their statistical analyses to a broad audience.