# statabook-PSM-倾向得分Stata实操-kmatch **Repository Path**: owen560/statabook ## Basic Information - **Project Name**: statabook-PSM-倾向得分Stata实操-kmatch - **Description**: Do-Files and examples from the book Felix Bittmann, Fleix, 2019, Stata: A Really Short Introduction. - **Primary Language**: Unknown - **License**: GPL-3.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 6 - **Created**: 2023-01-16 - **Last Updated**: 2023-01-16 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README ## 书籍附带 Stata 数据和 dofiles > Felix Bittmann, Fleix, 2019, Stata: A Really Short Introduction. [-Link-](https://doi.org/10.1515/9783110617160) - 主页：，[Contents](https://www.degruyter.com/document/doi/10.1515/9783110617160/html) - Download the book ## 目录 - [Fronter](https://www.degruyter.com/document/doi/10.1515/9783110617160-fm/pdf) - [Contents](https://www.degruyter.com/document/doi/10.1515/9783110617160-toc/pdf) - [List of Notes](https://www.degruyter.com/document/doi/10.1515/9783110617160-201/pdf) - [Chapter 1](https://sci-hub.ren/10.1515/9783110617160-001) - [Chapter 2](https://sci-hub.ren/10.1515/9783110617160-002) - [Chapter 3](https://sci-hub.ren/10.1515/9783110617160-003) - [Chapter 4](https://sci-hub.ren/10.1515/9783110617160-004) - [Chapter 5](https://sci-hub.ren/10.1515/9783110617160-005) - [Chapter 6](https://sci-hub.ren/10.1515/9783110617160-006) - [Chapter 7](https://sci-hub.ren/10.1515/9783110617160-007) - [Chapter 8](https://sci-hub.ren/10.1515/9783110617160-008) - [Chapter 9](https://sci-hub.ren/10.1515/9783110617160-009) - [Chapter 10](https://sci-hub.ren/10.1515/9783110617160-010) - [Chapter 11](https://sci-hub.ren/10.1515/9783110617160-011) - [Chapter 12](https://sci-hub.ren/10.1515/9783110617160-012) - [References](https://www.degruyter.com/document/doi/10.1515/9783110617160-013/pdf) - [Copyright](https://www.degruyter.com/document/doi/10.1515/9783110617160-014/pdf) - [Index](https://www.degruyter.com/document/doi/10.1515/9783110617160-015/pdf) ```stata cap program drop lbook program define lbook dis "- [Fronter](https://www.degruyter.com/document/doi/10.1515/9783110617160-fm/pdf)" dis "- [Contents](https://www.degruyter.com/document/doi/10.1515/9783110617160-toc/pdf)" dis "- [List of Notes](https://www.degruyter.com/document/doi/10.1515/9783110617160-201/pdf)" local url "https://sci-hub.ren/10.1515/9783110617160-0" forvalues i=1/9{ dis "- [Chapter `i'](`url'0`i')" } forvalues i=10/12{ dis "- [Chapter `i'](`url'`i')" } dis "- [References](https://www.degruyter.com/document/doi/10.1515/9783110617160-013/pdf)" dis "- [Copyright](https://www.degruyter.com/document/doi/10.1515/9783110617160-014/pdf)" dis "- [Index](https://www.degruyter.com/document/doi/10.1515/9783110617160-015/pdf)" end // 选中以上命令，按快捷键 Ctrl+R *-在 Stata 命令窗口中输入如下命令 lbook ``` ## About this book Stata is one of the most popular statistical software in the world and suited for all kinds of users, from absolute beginners to experienced veterans. This book offers a clear and concise introduction to the usage and the workflow of Stata. Included topics are importing and managing datasets, cleaning and preparing data, creating and manipulating variables, producing descriptive statistics and meaningful graphs as well as central quantitative methods, like linear (OLS) and binary logistic regressions and matching. Additional information about diagnostical tests ensures that these methods yield valid and correct results that live up to academic standards. Furthermore, users are instructed how to export results that can be directly used in popular software like Microsoft Word for seminar papers and publications. Lastly, the book offers a short yet focussed introduction to scientific writing, which should guide readers through the process of writing a first quantitative seminar paper or research report. The book underlines correct usage of the software and a productive workflow which also introduces aspects like replicability and general standards for academic writing. While absolute beginners will enjoy the easy to follow point-and-click interface, more experienced users will benefit from the information about do-files and syntax which makes Stata so popular. Lastly, a wide range of user-contributed software („Ados") is introduced which further improves the general workflow and guarantees the availability of state of the art statistical methods. - For absolute beginners - Clear and concise introduction to Stata - Guidance through the process of writing a first quantitative seminar paper ## Author information **Felix Bittmann**, University of Bamberg ## Supplementary Materials - [ PropensityScoreMatching](https://www.degruyter.com/publication/isbn/9783110617160/downloadAsset/9783110617160_PropensityScoreMatching.pdf) - [ FunctionalForms_Datasets](https://www.degruyter.com/publication/isbn/9783110617160/downloadAsset/9783110617160_FunctionalForms_Datasets.zip) - [ _Do-files](https://www.degruyter.com/publication/isbn/9783110617160/downloadAsset/9783110617160__Do-files.zip) - [ FunctionalForms](https://www.degruyter.com/publication/isbn/9783110617160/downloadAsset/9783110617160_FunctionalForms.pdf) - [ PropensityScoreMatching_Dataset](https://www.degruyter.com/publication/isbn/9783110617160/downloadAsset/9783110617160_PropensityScoreMatching_Dataset.zip)   ![](https://fig-lianxh.oss-cn-shenzhen.aliyuncs.com/横条-远山03-窄版.jpg)     ![](https://fig-lianxh.oss-cn-shenzhen.aliyuncs.com/Lianxh_装饰黄线.png) > Stata连享会   [主页](https://www.lianxh.cn/news/46917f1076104.html) || [视频](http://lianxh.duanshu.com) || [推文](https://www.lianxh.cn/news/d4d5cd7220bc7.html) || [知乎](https://www.zhihu.com/people/arlionn/) || [Bilibili 站](https://space.bilibili.com/546535876) ![](https://fig-lianxh.oss-cn-shenzhen.aliyuncs.com/连享会-草料主页-一码平川600.png)   ## 1. 连享会课程 > **免费公开课：** - [直击面板数据模型](https://lianxh.duanshu.com/#/brief/course/7d1d3266e07d424dbeb3926170835b38) - 连玉君，时长：1小时40分钟，[课程主页](https://gitee.com/arlionn/PanelData)，[B 站版](https://www.bilibili.com/video/BV1oU4y187qY) - [Stata 33 讲](https://lianxh.duanshu.com/#/brief/course/b22b17ee02c24015ae759478697df2a0) - 连玉君, 每讲 15 分钟. 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