Econometrics I

Elementary statistics and probability (Wooldridge, Appendix B), covering basic concepts of statistical inference (estimation and hypothesis testing, Wooldridge, Appendix C). Basic mathematics (Wooldridge, Appendix A) including, differentiation, integration, solving elementary differential equations, elasticity concept, and continuously compounded interest rate calculus. Working knowledge of basic matrix algebra (Wooldridge, Appendix D) is a benefit but not a prerequisite. Appendices of the Wooldridge’s books are available in pdf-format at http://academic.cengage.com/resource_uploads/downloads/1408093758_415141.pdf(Opens in a new tab)

The student knows basics of empirical econometric research methods and approaches including types of econometric data, roles of variables, economic and econometric modeling, estimation, statistical inference, interpretation of estimation results, model checking and model evaluation, use of econometric models in practice. The course will develop students’ generic skills including basics of statistical modeling, communication of estimation results in economic terms, extracting relevant information from statistical software output, and critical evaluation of empirical results. Course develops critical thinking, data analytics skills (EVIEWS, Excel), oral and written communication of econometric/statistical results.

Wooldridge, Jeffrey, M, Introductory Econometrics-A Modern Approach, Gengage, chapters 1-12, Software: EVIEWS.

Responsible Unit: School of Technology and Innovations