Econometrics for Daily Lives helps you collect data and analyze the relationship among numerous factors facing you in your everyday activities. This first volume comprises two parts. Part I reviews basic statistics and introduces the most elementary topics in econometrics, including simple regressions and multiple regressions. Part II discusses several problems arisen in data analyses, one problem at a time, so that you can learn to deal with each problem without having to master advanced topics in econometrics. The volume is full of examples and practical guidance on how to perform data analyses using Microsoft Excel.

This volume deals with advanced topics and specific problems in applied econometrics. Part III introduces advanced topics in econometric theory and contains three chapters. Chapter 7 deals with modeling issues and some phenomena that occur when the dataset you have collected has certain problems that need special attention for your results to be reliable. Chapter 8 analyzes the concepts and models that are not linear in their forms. Chapter 9 introduces several interesting models in advanced time-series techniques when a dataset is not stationary. Part IV applies the theoretical concepts learned in the previous chapters into empirical research. This part also consists of three chapters. Chapter 10 discusses the problem of selection bias and correcting methods. Chapter 11 introduces the regression discontinuity design and differences-in-differences models. Chapter 12 presents steps to carry out an empirical research project and provides strategies to avoid pitfalls in applied econometrics.