This week’s blog will feature a set of Stata tricks we used to addresses a particular issue that we encountered in our dataset. Many of the variables were in string form and were not useable for Stata analysis. Furthermore, the
Building scalable and sustainable food systems presents many challenges along farming value chains – not least of which is the point where our small holder famers interact with agricultural inputs. For an isolated farmer with limited education, making wise choices about farming can be challenging, meaning that many farmers fall short of the mark when it comes to running successful commercial enterprises.
The coefplot command allows you to plot results from estimation commands. It is a user package, so you will have to find and install it by inputting into the Stata command line:
Many users of Stata looking to visualize statistics opt to output results into MS Excel via commands like -tabout-, -putexcel-, and -outreg-. While Excel offers an intuitive and comprehensive way to create summary tables, it lacks the professionalism of tables
When companies need to know what their consumer base is thinking, surveying is often the only scalable way to find out this information. Nevertheless, surveys take up a lot of time and can be incredibly boring. As the respondents’ patience