Or perhaps you want to make sure that the dates are properly stored and ready for fitting a time-series model or for performing survival analysis. Dates and times are all too familiar concepts we often take for granted. They lurk under data management and statistical analysis with various degrees of importance depending on the task at hand. In this presentation, I will demonstrate how to handle these tasks using Stata's vast collection of date and time functions, with highlights of the new functions in Stata 17.

This presentation introduces Stata's new command for synthetic control, synth2. This command conveniently performs placebo tests in space and time dimensions, as well as robustness tests using leave one out. In the process, the command also automatically generates a series of visualizations for easy analysis.

This presentation will systematically sort out various standard errors provided by Stata, including basic principles, applicable scenarios, and classic cases.

This presentation introduces how to create an estimation table using Stata's new etable command and how to customize the look of the table using collect.

The basic idea is to perform a weighted average of the results of multiple models in order to reduce the uncertainty of the model and improve the prediction effect. Its core research content is the selection of weights and the measurement of uncertainty. I will present the basic idea of MA and two basic approaches, weighted-average least squares (WALS) and Bayesian model averaging (BMA), and their applications in economics and finance.

What is the network method? How do you calculate network metrics with Stata? How do you use network methods to research problems in your own field and publish papers? This presentation will lead you to understand the classic application cases of network methods in economics research and introduce the related theories and practical applications of network methods.

"Establishing and improving an economic system for green, low-carbon and circular development" proposed in the report of the 19th National Congress of the Communist Party of China pointed out the direction for high-quality development in the new era and also raised an extremely important topic of the times. The year 2021 coincides with the intersection of the history of the "two centenary" goals. At the special moment of the two sessions, Xi Jinping successively emphasized "high-quality development", which is of great significance. At the same time, the carbon peaking and carbon neutrality goals of 3060 put forward specific requirements for green and high-quality development. Therefore, how to assess high-quality development is a key scientific question. Based on Professor Zhang Ning's own research experience, this presentation will explain how to evaluate high-quality development from multiple dimensions from the perspective of efficiency and productivity. At the methodological level, four common estimation methods for efficiency measurement will be introduced in turn: parametric linear programming, stochastic frontier analysis, and econometrics and data envelopment analyses. I will provide independent modeling and programming research ideas and explain the use of gtfp of the co-developed Stata package, providing reference and application guidelines for efficiency and productivity researchers.