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The Chinese Stata conference took place on 16 July 2021. The event was hosted virtually and all sessions were recorded. There were also two Stata webinars offered 2 July and 9 July.

Proceedings coming soon

9:15–10:00 Introduction to customizable tables in Stata 17 Abstract: This presentation will introduce the new customizable tables in Stata 17. I will discuss how to use the new table and collect commands to collect, organize, manipulate, and display the results from Stata commands to create customizable tables.
Hua Peng
StataCorp
10:00–10:50 Project evaluation econometric method and application of Stata Abstract: The core purpose of social science empirical research is to achieve causal inference. This presentation first introduces the concept and basic analysis framework of causal inference; second, it focuses on the
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econometric methods of project evaluation that are currently widely used to achieve causal inference, such as matching, IV, RD and DID, etc.; introduces the basic ideas behind each method, model settings in practical applications, and related classic literature; and finally, introduces how each empirical method is implemented in Stata.
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Zhang Chuanchuan
Zhejiang University
11:10–12:00 Call Stata from Python Abstract: Stata 16 introduced tight integration with Python, allowing users to embed and execute Python code from all of Stata's programming environments, such as the Command window, do-files, and ado-files.
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Stata 17 introduced the pystata Python package. With this package, users can call Stata from various Python environments, including Jupyter Notebook, Jupyter Lab, Spyder IDE, PyCharm IDE, and system command-line environments that can access Python (Windows Command Prompt, macOS terminal, Unix terminal). In this talk, I will introduce two ways to run Stata from Python: the IPython magic commands and a suite of API functions. I will then demonstrate how to use them to seamlessly pass data and results between Stata and Python.
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Zhao Xu
StataCorp
1:30–2:10 Analysis of Stata basic commands in accounting research Abstract: I introduce basic commands in accounting academic research, including basic commands such as data import, external command installation, report merging, data cleaning, regression analysis, and result output.
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At the same time, I also introduce the measurement of accounting-related indicators, such as earnings management and investment efficiency calculations.
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Lin Wanfa
Wuhan University
2:10–3:00 Application of Stata in China map data processing Abstract: I will introduce the basic principles of Stata, reading the information system of Baidu maps and Gaode maps, as well as a series of map commands we developed. They are cngcode, which converts Chinese addresses to
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latitude and longitude; cnaddress, which converts latitude and longitude into Chinese landmark geographic locations; cntraveltime, which calculates the traffic distance between two geographic locations (you can choose different traffic modes); and cnmapsearch, which searches for various geographic keywords such as subway stations, hospitals, cafes, barbecue stalls, etc., within a few kilometers of a given location. These commands provide a great convenience for empirical research on geographic and transportation issues and have broad application prospects in finance, economics, and sociology.
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Chuntao Li
Zhongnan University of Economics and Law
3:20–4:00 Bayesian analysis and Stata application Abstract: Bayesian analysis combines the likelihood function and prior information, uses Markov Chain Monte Carlo simulation (MCMC) to sample and infer parameters, and is widely used in regression models, dynamic stochastic general equilibrium, and various complex models.
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This presentation introduces the built-in method of Bayesian analysis in Stata, as well as the general method of setting your own likelihood function, prior distribution, and posterior distribution.
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Wang Qunyong
Nankai University
4:00–4:40 Application of Stata in survival analysis in the medical and health field Abstract: Taking the association and prediction of diabetes and blood glucose-related indicators and cardiovascular disease as actual research cases, in different scenarios of a single study and multiple research data integration (meta-analysis), how to use Stata for medical and health research, especially survival analysis method of analysis.
Pei Gao
Peking University
4:40–5:00
Open panel discussion with Stata developers
StataCorp

Stata Webinars

Webinar name

Design and Implementation of PSM-DID in Strategic Management Research

Presenter

Liu Haijian, Nanjing University

Description

In strategic management research, because of subjectivity, the multiperiod nature of variables, and the difficulty of controlling multiple variables, endogeneity is a problem that needs special attention. Propensity score matching (PSM) can artificially construct a quasiexperiment for the key object under study; and difference in differences (DID) can study the impact of an external event. When these two methods are combined, they are particularly suitable for studying the inconsistent influence of a certain type of external event in the experimental group and the control group, effectively removing the endogenous problem so that the impact of such events on the organization can be explored. This kind of research is widely used in strategic management research. This webinar discusses this and provides a specific example for analysis.

Webinar name

Application of Permutation Test in Causal Inference

Presenter

Wang Fei, Renmin University of China

Description

The permutation test, as a statistical inference method different from the random sampling perspective, is becoming more and more common in the field of causal inference. This lecture will introduce the logic of the permutation test and its application in random experiments and synthetic control methods, and it will use Stata software to show the operation process and results of the permutation test. At the same time, the permutation test has also shown a tendency of misuse in the field of causal inference (for example, it is used to test the exogeneity of key independent variables). This lecture will also take the double-difference method as an example to introduce the misuse cases and improvement ideas of the permutation test.

Logistics organizer

The 2021 Chinese Stata Conference is jointly organized by Beijing Tianyan Rongzhi Software Co., Ltd. (TurnTech), an official reseller of Stata in China, and the Wuhan University School of Economics and Management.

View the proceedings of previous Stata Conferences and Users Group meetings.


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