Add new data sets for the 7th addressing issues #5. These are JTRAIN98, LABSUP, NCAA_RPI, and SCHOOL93_98.
tinytest for greater reliability of course. #tinyverse
Updated bibliography in vignette
Bumped R dependency up to R (>= 3.5.0)
Updated vignette to reflect breaking changes to the prais package api in which the function prais.winsten became prais_winsten. Minor changes in DESCRIPTION file to content.
Also, bumped R dependency up to R (>= 3.2.0) to bring this package inline with the maximum dependency of its dependent packages (prais).
Updated vignette to add new graphs through chapter 7. Also, removed tidy = TRUE markdown chunk parameters as breaking changes appear to have been made, which now require the installation of a separate package.
Removed chapter 17 examples for now, as glm(formula, family = poisson, cata=crime1) is outputting an error which requires deeper exploration.
Update bibliography pages with current packages.
Added six additional data sets and documentation for the most recent edition, “Introductory Econometrics: A Modern Approach, 6th edition” (Wooldridge 2016, ISBN-13: 978-1-305-27010-7).
Updated tests accordingly.
Further compression of data sets by writing a function to delete unnecessary attributes attached to each data.frame. Excess attributes were assigned to each data.frame during the import from Stata .dta files. In addition, the row.names attribute was saved as a character. I converted the row.names of all data sets to to integer, which reduced the size of the package as a whole.
Relaxed dependency from
R (>= 3.4.0) to
R (>= 3.0.0) as we no longer need to be concerned about build fails when kniting the .pdf vignette. Minor content edits to Description section.
Name change to “Introductory Econometrics Examples”. In addition, I updated stargazer output to
type = "html". Finally, added forecast content to the chapter 18 example.
In previous versions, the documentation merely contained column variable names and dimensions of each data set. This version has been updated to include a plethora of additional information for 101 data sets. Updates include descriptions for each column variable, the original sources Wooldridge used to acquire each data set, detailed notes describing suggested analysis approaches, and page numbers for each data set located in the text. The source of this information comes from a .pdf file titled the “DATA SET HANDBOOK” by Jeffrey M. Wooldridge. I wrote a script which iteratively extracted its contents and inserted them into roxygen2 style .R files for each data set.
Fixed an error in chapter 6, misspelling the name of the data set called within the data function. The model example still worked due to lazy loading of data.
While I have an old affinity for the Farnsworth Econometrics document, it contains some outdated information. I removed it as it might do new learners more harm than good. In its place I added a citation for the book, “Applied Econometrics with R”. While I previously cited the AER package, the book should go in the Appendix as a resource for those considering expanding their knowledge beyond this introductory text.
The newly acquired original description of data sets have also been added for every example, with the syntax for calling documentation on each one.
I removed written descriptions of the example problems, putting more emphasis on viewing clean code. Short notes point to what function arguments are used or to various R packages. For descriptions of the examples and rational behind each problem, students should refer to their textbook as the content offered by Wooldridge is quite clear.
A bibliography section has been added, including package citations and their authors.
An Appendix has been added, pointing readers to a few excellent sources for computing Econometric models with R. These are “Econometrics in R” by Grant Farnsworth and “Using R for Introductory Econometrics” by Florian Hess.