ECON510

041133

We will study various quantitative methods which provide background knowledge and tools for econometrics; i.e. empirical studies in economics. More specifically, we study probability theory, statistics, and practice using a statistical package R. The practical minimal goal is that you understand comfortably the first 3 chapters and Appendices 18.1 and 18.2 in Stock and Watson \\Introduction to Econometrics\" and use R confidently. In addition, we will study a script language called Python. Python is a general language with many libraries which make it a very useful tool to conducting quantitative analysis and used intensively in industry along with R. The goal here is to gain the understanding of the language to prepare you for a further study using Python. We will use R, a statistical package and a matrix language environment popular among statisticians, to enhance understanding of the concepts studied in class. There are excellent alternatives such as Stata. Although R is the de facto standard statistical software among statisticians, Stata may be more popular among economists. Once you are used to R, it does not take much effort to learn Stata.

GRD - Regular Grades A, B, C, D, E

Graduate