---missing--- drop if missing(x1,x2,x3,x4,x5) //括号内存在一个缺漏值即删除 ---rmiss--- egen X = rmiss(x1,x2,x3,x4,x5) //括号内有几个缺漏值X就等于几 2、面板数据开头/结尾缺漏值删除 (本小结主要参考翻译自How can I drop spells of missing values at the beginning and end of ...
就是有的变量的数据是缺失的，比如有个变量var1数据都是1和0，你生成一个变量，当var1=1的时候，var2等于5，因为var1中有的变量为0，这部分为0的观测值在var2里就是缺失值了
在Stata中，要去除数据集中的缺失值（missing values）或非法值，可以使用`drop`命令。以下是一些示例，演示如何在Stata中处理缺失值：1.删除所有包含缺失值的观测：```stata drop if missing(variable_name)```这将删除包含指定变量（`variable_name`）中缺失值的所有观测。2.删除特定数值的观测：```stata drop ...
Why does Stata treat missing values in this way? It is not possible with two-valued logic (True–False) to have missing values propagate through logical statements. A Boolean expression must ultimately evaluate to either true or false. Consider the statement ...
missing(temp) drop temp 5 稳健性检验 这部分内容建议去看下知乎上专门的文章,我这里就抛砖引玉,主要是介绍下有哪些稳健性检验方法。。。 (1)平行趋势检验 DID 必备检验之一,继续沿用前面的 DID 例子。如果大家感兴趣的话,之后可能会专门出一期怎么调平行趋势的文章。。。 // 假设有三期,分别是 local treat...
Users often want to replace missing values by neighboring nonmissing values, particularly when observations occur in some definite order, often (but not always) a time order. Typically, this occurs when values of some variable should be identical within blocks of observations, but, for some reason...
See[MI]Glossary for a definition of terms.To import data that already have imputations for the missing values(do not mi set the data)mi import import mi data mi export export mi data to non-Stata application Once data are mi set or mi import ed mi query query whether and how mi ...
Double-check the syntax and make any necessary corrections. Step 2: Review the Data Thoroughly examine the dataset for any potential issues that may hinder convergence. Look for missing values, outliers, or problematic observations that may impact the optimization process.Consider transforming variables...
Stata统计分析常用命令汇总一winsorize极端值处理范围:一般在1和99分位做极端值处理,对于小于1的数用1的值赋值,对于大于99的数用99的值赋值。1Stata中的单变量极端值处理:stata 11.0,在命令窗口输入findit
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