Introduction Many econometric models often get afflicted by what is called the endogeneity problem. This happens when one or more independent variables are correlated with the error term (omitted variable bias), or when the dependent and independent variables jointly determine each other (simultaneity bias). This problem needs to be addressed because in the presence of …
Two-Stage Least Squares (2SLS) Regression in Stata Read More »
In R, you can use the if-else statement to create conditional logic. This allows you to execute different codes depending on whether a specified condition is true or false, or simply if the condition is met or not. The if condition can be either used separately or in combination with the else statement, to specify …
Normality refers to the typical feature of a normal distribution, which is a precise type of probability distribution with uncommon qualities that make it particularly relevant for various statistical investigations. In many statistical analysis, determining whether your data follows a normal distribution requires checking the normality of data. There are different ways to check for …
Working with data frames and loops is a common task in data analysis and manipulation in R. Loops can help you iterate through rows or columns of a data frame to perform various operations on the data In this article, we will explore to loop through columns and rows of data frames in R using …
Loop Through Columns and Rows of Data Frame in R Read More »
In this article we discuss the basics of loop in R. You can use loops to repeatedly execute a block of code efficiently. In simpler terms, if we want to repeat a set of operations repeatedly, we use loops in R. There are two types of loops in R; for loops and while loops. These …
