This book aims to teach statistics, focusing on the field’s importance in understanding quantitative data to make evidence-based arguments in social sciences research. It emphasizes the necessity of a profound understanding of statistics for methodological decision-making, particularly for new estimators in empirical research. The book covers the fundamental concepts of assessing estimators and their application to regression models, providing a deeper mathematical insight than other texts in statistics and economics. Divided into two parts, the book begins with design-based and model-based inferences, leading into linear regression and the least squares estimator. The material draws from Adam Glynn’s teachings and prior student feedback, offering valuable insights for readers.
https://mattblackwell.github.io/gov2002-book/