many thanks for the vedio -is the Heteroskedasticity residual square or variance? - what does Heteroskedasticity indicate for? - what if the plot of the predicted value VS the residual square has not specific pattern?
Brilliant. Thank you for the video. However, I was not able to listen to your explanation of the result and diagram. I wish you could give a brief explanation
Can anyone help me explain these numbers? coefficient: .049652, _cons .5150066, t 6.12 t 68.62 p>t 0.00 0.00 number of obs 6.665 prob > F 0.0000, R-squared 0.0056, I am trying to find out whether socioeconomic status can influence whether students find it important to perform better than other students in tasks. I am really bad
Hi. Thank you for your insightful tutorial. I have a question, which one is widely used: (i) GDP per worker, or (ii) GDP per capita? I would like to use this as a robustness check for my main findings which I have obtained using a different econometric approach.
How can we interpret if the variables are not in logged form, and if the coefficent is a low value such as 0.06. I understand the logged form and that we can interpret as percent. But due to the nature of a dataset i can't log the zero values.
Say you want beta convergence with values for 2000-2020 for Romania and Croatia. You would need: one column with their average growth rate between 2000-2020, and one column with the logarithm of their GDP/capita in 2000. Use these to make a scatter plot to obtain UNCONDITIONAL beta convergence. Conditional beta convergence is harder, and I'm not sure how to explain it.
