25 Feb Pearson and Spearman Correlations in R
In this post we will use a practical example using R to caclulate Spearman and Pearson correlations....
Panel Data
05 Feb Beyond Linear Modeling using R (part-2)
Non-linear relationships are equally important to linear ones and in this post we will showcase an another basic approach in modeling exponential relationships between a predictor variable and a response variable. ...
17 Jan Linear Regression Summary Statistics
Summary statistics returned by the lm() object in R, highlight some important measurements used to decide the overall fitting performance of the linear model to our dataset....
02 Nov How to create a panel dataset
Depending on the complexity of your task, the easiest way is to construct the panel dataset in Excel; and then transfer the data into an econometric software like Stata...
04 Oct Panel data analysis: fixed effects or random effects?
Use fixed-effects models, if you are only interested in analysing the impact of variables that change over time and not over entities, whereas use random-effects models when the variation across entities is assumed to be random and uncorrelated with the independent variable...