# Stata大会 **Repository Path**: econometric/stata-conference ## Basic Information - **Project Name**: Stata大会 - **Description**: Stata大会 - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2023-11-15 - **Last Updated**: 2025-01-02 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # 11月9日最新Stata大会PPT（附2023全球各处Stata大会PPT议程网址收藏） 本文主要收藏截止目前已经举办的Stata大会，并且在Stata官网已经公布PPT的网址链接，供大家学习！ # 1、[2023 Stata Economics Virtual Symposium](https://www.stata.com/symposiums/economics23/?utm_source=20231113econ&utm_medium=email&utm_campaign=sugm&utm_content=econ23_link) 时间：9 November 本次大会包含了异质性DID新命令以及ddml双重机器学习相关的演讲。 详见 - 异质性的双重差分估计和did_multiplegt_dyn 包的 Stata 实现 - [Difference-in-Differences Estimators of Intertemporal Treatment Effects (stata.com)](https://www.stata.com/symposiums/economics23/slides/Econ23_de_Chaisemartin.pdf) - pystacked 和 ddml：在 Stata 中用于预测和因果推理的机器学习[Econ23_Schaffer_ddml.pdf (stata.com)](https://www.stata.com/symposiums/economics23/slides/Econ23_Schaffer_ddml.pdf) # 2、[2023 Stata Biostatistics and Epidemiology Virtual Symposium | Stata](https://www.stata.com/symposiums/biostatistics-and-epidemiology23/) 相关议程直接点击大会名称即可 时间：23 FEBRUARY 2023 部分PPT - 使用 Stata 进行因果中介分析 - https://www.stata.com/symposiums/biostatistics-and-epidemiology23/slides/Bio23_Valeri.pdf # 3、[2023 UK Stata Conference | Stata](https://www.stata.com/meeting/uk23/) 论文集： - 使用 listtab 和 docxtab 自定义 Markdown 和 .docx 表格 - 使用 Stata 对面板数据进行影响分析 - Mata 中的面向对象编程 - Stata 中机器学习命令的回顾：性能和可用性评估https://www.stata.com/meeting/uk23/slides/UK23_Cerulli.pdf - pystacked 和 ddml：在 Stata 中用于预测和因果推理的机器学习https://www.stata.com/meeting/uk23/slides/UK23_Schaffer_ddml.pdf - 异质性DID估计https://www.stata.com/meeting/uk23/slides/UK23_Pinzon.pdf # 4、[2023 Spanish Stata Conference | Stata](https://www.stata.com/meeting/spain23/) # 5、[2023 Oceania Stata Conference | Stata](https://www.stata.com/meeting/oceania23/) 使用 Stata 实现高级数据可视化 - https://www.stata.com/meeting/oceania23/slides/Oceania23_Naqvi.pdf Stata 17 中差异的差异简介 - https://www.stata.com/meeting/oceania23/slides/Oceania23_Huber.pdf # 6、[2023 Northern European Stata Conference | Stata](https://www.stata.com/meeting/northern-european23/) 异质性双重差分估计 - https://www.stata.com/meeting/northern-european23/slides/Northern_Europe23_Pinzon.pdf # 7、[2023 Mexican Stata Conference | Stata](https://www.stata.com/meeting/mexico23/) # 8、[2023 Stata Conference Stanford | Stata](https://www.stata.com/meeting/us23/) 异质性双重差分估计 - [US23_Pinzón.pdf](https://www.stata.com/meeting/us23/slides/US23_Pinzon.pdf) Stata 的广义 2SLS 过程 - [US23_Suarez_Chavarria.pdf](https://www.stata.com/meeting/us23/slides/US23_Suarez_Chavarria.pdf) spgen：在 Stata 中创建空间滞后变量 - [US23_Kondo.zip](https://www.stata.com/meeting/us23/slides/US23_Kondo.zip) 使用 Stata 进行最佳策略学习 - [US23_Cerulli.pdf](https://www.stata.com/meeting/us23/slides/US23_Cerulli.pdf) # 9、[2023 Canadian Stata Conference | Stata](https://www.stata.com/meeting/canada23/) Jackknife 方法 - [Canada23_Webb.pdf](https://www.stata.com/meeting/canada23/slides/Canada23_Webb.pdf) # 10、[2023 Chinese Stata Conference | Stata](https://www.stata.com/meeting/china23-Uone-Tech/) Stata 差异的异质性DID - https://www.stata.com/meeting/china23-Uone-Tech/slides/China23_Liu.pdf 其他主题： - 双重机器学习和 Stata 应用程序 - DID安慰剂测试和Stata应用 - 更多主题查看原文 # 11、[2023 Colombian Stata Conference | Stata](https://www.stata.com/meeting/colombia23/) Difference estimation in heterogeneous differences in Stata - [Colombia23_Echeverri.pdf](https://www.stata.com/meeting/colombia23/slides/Colombia23_Echeverri.pdf) Machine learning for time-series structures using Stata and Python - [Colombia23_Mansilla.pdf](https://www.stata.com/meeting/colombia23/slides/Colombia23_Mansilla.pdf) # 12、[2023 French Stata Conference | Stata](https://www.stata.com/meeting/france23/) Heterogeneous difference in differences in Stata - [France23_Liu.pdf](https://www.stata.com/meeting/france23/slides/France23_Liu.pdf) # 13、[2023 German Stata Conference | Stata](https://www.stata.com/meeting/germany23/) 使用 Stata 进行因果推断和处理效应分解 - [Germany23_Luedicke.pdf](https://www.stata.com/meeting/germany23/slides/Germany23_Luedicke.pdf)