Replication Code: The Role of Education and Attitudes in Cooking Fuel Choice: Evidence from two states in India

Summary: This code supports the analysis and production of tables, and figures for the manuscript. The data that support the analysis were supplied to the authors directly by the Clean Cooking Alliance. Data can be made available upon reasonable request. This archive contains only code. Instructions: First, download all codes and place them in the same folder. The code is broken up into several scripts. The main code itself draws on other code files. Therefore, one does not have to run the entire code but rather can run snippets as desired. However, code \"1_\" must be run before any other analyses as it creates necessary variables and data subsets. The rest of the codes, labeled descriptively, are as follows: Contents: 0) Main code that draws on the other codes. 1) Processing: Creates variables and subsets. 2) Makes descriptive tables. 3) Makes descriptive figures. 4) Makes maps. 5) Runs main regressions and produces relevant figures. 6) Runs supporting regressions and produces relevant figures. Citation: Gould, Carlos F., Urpelainen, Johannes, 2019, \"Replication Code: The Role of Education and Attitudes in Cooking Fuel Choice: Evidence from two states in India\", https://doi.org/10.7910/DVN/G0HJLV, Harvard Dataverse, V1

摘要：本代码用于支持学术手稿的数据分析、表格与图表制作。本分析所需数据由清洁烹饪联盟（Clean Cooking Alliance）直接向作者提供。合理请求下可获取该数据。本存档仅包含代码文件。
使用说明：首先下载全部代码并置于同一文件夹中。本代码拆分为多个脚本文件，主代码依赖其他代码文件运行。因此无需完整运行全部代码，可根据需求运行指定代码片段。但需注意，以“1_”命名的代码必须优先运行，因其用于生成必要的变量与数据子集。其余代码均带有描述性标签，具体如下：
文件内容：0）主代码：依赖其他代码文件运行。1）数据预处理：生成所需变量与数据子集。2）描述性统计表制作：生成各类描述性统计表格。3）描述性统计图制作：生成各类描述性统计图表。4）地理地图绘制：生成可视化地理地图。5）核心回归分析：运行主回归模型并生成相关图表。6）辅助回归分析：运行补充回归模型并生成相关图表。
引用格式：Gould, Carlos F.、Urpelainen, Johannes，2019年，《复制代码：教育与态度在烹饪燃料选择中的作用——来自印度两个邦的证据》，https://doi.org/10.7910/DVN/G0HJLV，哈佛数据文库（Harvard Dataverse），版本V1