In this article we will discuss how to perform correlation in R. We will discuss both the association between continuous variables and as well as association between categorical variables. Correlation is a statistical term that describes a point to which two variables are associated or connected. It lets us figure out where and how variations …
Panel data, also known as longitudinal data, involves collecting observations on multiple entities (such as firms, individuals, or countries) over multiple time periods. Researchers often use fixed effects, which can be in the form of time dummies or industry dummies, to account for various sources of data variation. In this article, we will test the …
Fama and MacBeth’s regression was proposed in 1973. The Fama-MacBeth (1973) regression procedure is instrumental, especially when dealing with datasets that have more cross-sectional data as compared to time-series data. So, the first question we get to ask is why use fama-macbeth regression. A notable advantage of this procedure is that it provides standard errors …
In this article we will discuss t-test tactics in R thoroughly. T-test is a statistical tool used to compare the averages (mean) of two groups or samples and determines whether there is a statistically significant difference between them. T-test are especially helpful when working with small sample sizes (usually less than 30 observations per group). …
When it comes to mastering the R programming language for data analysis, data wrangling, statistics, and graphics, having the right resources at your disposal is essential. In the world of R, there are numerous books that cater to different skill levels and areas of expertise. In this article, we’ll take a closer look at some …
