All things about the statistical software, R, R Studio, RMarkdown, and Shiny.
There are 12 posts filed in R Stats (this is page 1 of 2).
Photo by Ronan on Unsplash All eyes are on export sales and shipments of soybeans in the midst of the 2018 trade war. I always have my commodity price analysis students produce those ‘export pace of use’ charts as a lab assignment because it is data that is very actively followed in the commodity marketing…
This is the third in a series of posts where I document my own process in figuring out how machine learning relates to the classic econometrics one learns in a graduate program in economics. Note that I am a humble practitioner of applied econometrics, so the ideas I am working through are not new,…
This is the second in a series of posts where I document my own process in figuring out how machine learning relates to the classic econometrics one learns in a graduate program in economics. Note that I am a humble practitioner of applied econometrics, so the ideas I am working through are not new,…
Photo by Dirk Vorderstraße (Mähdrescher von John Deere in der Warburger Börde) [CC BY 2.0], via Wikimedia Commons Machine learning and artificial intelligence are the biggest topics in tech right now, and the excitement is spilling over to economics. The 2018 ASSA meetings (I did not attend, just browsed the program) had at least five…
This post is the sixth and final in a series explaining Basic Time Series Analysis. Click the link to check out the first post which focused on stationarity versus non-stationarity, and to find a list of other topics covered. As a reminder, this post is intended to be a very applied example of how…
Dogs Image By Peter Wadsworth (Flickr) [CC BY 2.0], via Wikimedia Commons This post is the fifth in a series explaining Basic Time Series Analysis. Click the link to check out the first post which focused on stationarity versus non-stationarity, and to find a list of other topics covered. As a reminder, this post is…
This post is the third in a series explaining Basic Time Series Analysis. Click the link to check out the first post which focused on stationarity versus non-stationarity, and to find a list of other topics covered. As a reminder, this post is intended to be a very applied example of how use certain…
This post is the third in a series explaining Basic Time Series Analysis. Click the link to check out the first post which focused on stationarity versus non-stationarity, and to find a list of other topics covered. As a reminder, this post is intended to be a very applied example of how use certain tests…
This post is the second in a series explaining Basic Time Series Analysis. Click the link to check out the first post which focused on stationarity versus non-stationarity, and to find a list of other topics covered. As a reminder, this post is intended to be a very applied example of how use certain tests…
Update: Posts in this series Introduction and Stationary versus Unit Roots (this post) Single Equation Models, ARIMA Single Equation Models, GARCH Multiple Equation Models, VAR Multiple Equation Models, Cointegration and VECM Roadmap: Which Model for your Project (coming soon) When graduate students approach me hoping to start research in price analysis, they usually have to…
