Econometrics is the quantitative application of statistical methods used to evaluate theories and models in economics. Econometrics sits at the intersection of multiple regression and macroeconomic and microeconomic theory.
The goal of the emetricsrsw package is meant to serve as a companion
to Chapter 5 of the textbook Introduction to Econometrics by James H.
Stock and Mark W. Watson. Since this textbook was designed to assist
learning in introductory econometrics courses taught at the
undergraduate level, it’s expected that students will use the
statistical analysis software, STATA, in order to complete the exercises
and examples provided in the book. Unlike R, STATA is not a free,
open-source platform - you must purchase an operating license in order
to obtain the software.
However, let’s say that students taking this course do not have access to STATA when they need (i.e. if you’re off campus for the weekend, but have an assignment to complete that contains questions from this textbook).
This is where emetricsrsw comes in handy. This package has two main
goals:
-
Accessibility : Allow students who are familiar with STATA’s syntax and code, but have access to R to complete their statistical analysis as they would in STATA.
-
Enhanced Learning : This allows students who are using Stock and Watson’s econometrics textbook to enhance their learning experience by using R to complete exercises traditionally done only in STATA. This will be especially exciting for first-time R users!
Chapter 5 of Introduction to Econometrics discusses hypothesis testing and confidence intervals for single linear regression.
emetricsrsw is hosted on Github and can be installed by running the
following:
devtools::install_github("danicamiguel/emetricsrsw")library(emetricsrsw)The California Standardized Testing and Reporting dataset contains data on test performance, school characteristics and student demographic backgrounds. All of these data were obtained from the California Department of Education. For more information about this dataset see the Companion Website for Stock and Watson’s Introduction to Econometrics.
The Birthweight_Smoking dataset contains data of infant births and dead in Pennsylvania in 1989. For more information about this dataset see the Companion Website for Stock and Watson’s Introduction to Econometrics.
stata_sum: provides summary statistics for all variables in a dataset
stata_sum_var: provides summary statistics for a variable in a dataset
chosen by user
stata_desc: gives description of all variables in dataset, including
variable classes (i.e. double, character, factor)
stata_list: allows user to see all the observations of the dataset in
a table
stata_list_2: allows user to see a the first two rows of a given
dataset
stata_list_10: allows user to see a the first ten rows of a given
dataset
stata_graph: plots a scatterplot
stata_reg: produces result summaries of a fitted model
stata_ci: finds the confidence interval of a fitted linear model
stata_logit: produces summary results of a fitted logistic model
stata_sum(caschool)
#> Observation Number dist_cod county district
#> Min. : 1.0 Min. :61382 Length:420 Length:420
#> 1st Qu.:105.8 1st Qu.:64308 Class :character Class :character
#> Median :210.5 Median :67760 Mode :character Mode :character
#> Mean :210.5 Mean :67473
#> 3rd Qu.:315.2 3rd Qu.:70419
#> Max. :420.0 Max. :75440
#> gr_span enrl_tot teachers calw_pct
#> Length:420 Min. : 81.0 Min. : 4.85 Min. : 0.000
#> Class :character 1st Qu.: 379.0 1st Qu.: 19.66 1st Qu.: 4.395
#> Mode :character Median : 950.5 Median : 48.56 Median :10.520
#> Mean : 2628.8 Mean : 129.07 Mean :13.246
#> 3rd Qu.: 3008.0 3rd Qu.: 146.35 3rd Qu.:18.981
#> Max. :27176.0 Max. :1429.00 Max. :78.994
#> meal_pct computer testscr comp_stu
#> Min. : 0.00 Min. : 0.0 Min. :605.5 Min. :0.00000
#> 1st Qu.: 23.28 1st Qu.: 46.0 1st Qu.:640.0 1st Qu.:0.09377
#> Median : 41.75 Median : 117.5 Median :654.5 Median :0.12546
#> Mean : 44.71 Mean : 303.4 Mean :654.2 Mean :0.13593
#> 3rd Qu.: 66.86 3rd Qu.: 375.2 3rd Qu.:666.7 3rd Qu.:0.16447
#> Max. :100.00 Max. :3324.0 Max. :706.8 Max. :0.42083
#> expn_stu str avginc el_pct
#> Min. :3926 Min. :14.00 Min. : 5.335 Min. : 0.000
#> 1st Qu.:4906 1st Qu.:18.58 1st Qu.:10.639 1st Qu.: 1.941
#> Median :5215 Median :19.72 Median :13.728 Median : 8.778
#> Mean :5312 Mean :19.64 Mean :15.317 Mean :15.768
#> 3rd Qu.:5601 3rd Qu.:20.87 3rd Qu.:17.629 3rd Qu.:22.970
#> Max. :7712 Max. :25.80 Max. :55.328 Max. :85.540
#> read_scr math_scr
#> Min. :604.5 Min. :605.4
#> 1st Qu.:640.4 1st Qu.:639.4
#> Median :655.8 Median :652.5
#> Mean :655.0 Mean :653.3
#> 3rd Qu.:668.7 3rd Qu.:665.9
#> Max. :704.0 Max. :709.5
Summary of caschool dataset using STATA’s sum command.
stata_sum_var(caschool$enrl_tot, caschool)
#> min Q1 median Q3 max mean sd n missing
#> 81 379 950.5 3008 27176 2628.793 3913.105 420 0
Summary of enrollment variable using STATA’s sum command