Meta analysis’ are often considered the gold standard for studies; a single study is never conclusive due to potential errors in design or data, whereas when results from many studies are systematically analyzed, they can be. Here is a YouTube series that goes...
Endogeneity has received attention in the past decade, as a significant source of bias in results reported in a wide variety of studies. Papers can now be desk rejected by top journals if there is reason to believe there may be endogeneity at play. Endogeneity refers...
..and spend a couple of minutes studying the graph. A graph showing what people think of when using unspecific terms like: “some”, “a few”, “many”, as well as various types of probabilities. Rather interesting.. as well as a short...
It is the most up to date software; it will make you more attractive on the job market; and enable you to do any analysis from one program. The two (linked) articles explain why, and give a great list of resources for how to learn, including Coursera : Read more at:...
This paper lays out the argument that flawed research design, methods and analysis (all be it unintentional) will yield results in greater volume and that are more novel and surprising; and thus, also greater rate of publishing. As publishing is a key factor in...
A common assumption has been that if one finds statistically significant results with noisy data, it means that the findings are conservative. (The intuition is that had there not been strong associations present, they would not have made it through the noise) In...
