Workshop: Stata application method and case practice intermediate training course

Thursday–Saturday, 16–18 August, Qunyong Wang, Nankai University

This training course is mainly application-oriented and does not involve any complicated mathematical formulas and statistical derivation. It mainly focuses on teaching various quantitative methods that are widely used by mainstream economic journal and industrial research organizations at home and abroad. Based on a brief introduction of these econometric methods' principles and applicability, more emphasis will be put on using Stata to replicate the quantitative results that were published in some classic articles. Because most of the examples are selected from classic papers and textbooks, this course could help students improve their empirical hands-on ability. The whole training course will use Stata 15.0 for demonstration, and the Stata code for empirical analysis will also be provided. These examples can be used in your own papers, greatly improving the analysis efficiency.

Workshop: Stata application method and case practice advanced training course

Tuesday–Thursday, 21–23 August, Yujun Lian, Lingnan (University) College, Sun Yat-sen University

This training course covers some of the most frequently used measurement models and analysis methods in empirical analysis, including virtual variables, cross terms (regulatory effects), group regression, fixed-effect models, and dynamic panel models. Three articles published in AER, JF, and QJE are elaborated so that you can master common estimation methods while experiencing first-rate research and design. In short, the goal of this course is to help trainees gain the ability to independently conduct normative emipirical research work. The training will use Stata 15.0 software for demonstration. The courseware will provide many codes and commands used in empirical analysis. These examples can be directly transplanted into the analysis of your own papers, greatly improving the efficiency of your analysis.