R Dataset / Package Ecdat / UStaxWords
On this Picostat.com statistics page, you will find information about the UStaxWords data set which pertains to Number of Words in US Tax Law. The UStaxWords data set is found in the Ecdat R package. Try to load the UStaxWords data set in R by issuing the following command at the console data("UStaxWords"). This may load the data into a variable called UStaxWords. If R says the UStaxWords data set is not found, you can try installing the package by issuing this command install.packages("Ecdat") and then attempt to reload the data with library("Ecdat") followed by data("UStaxWords"). Perhaps strangley, if R gives you no output after entering a command, it means the command succeeded. If it succeeded you can see the data by typing UStaxWords at the command-line which should display the entire dataset.
If you need to download R, you can go to the R project website. You can download a CSV (comma separated values) version of the UStaxWords R data set. The size of this file is about 503 bytes.
Number of Words in US Tax Law
Thousands of words in US tax law for 1995 to 2015 in 10 year intervals. This includes income taxes and all taxes in the code itself (written by congress) and regulations (written by government administrators). For 2015 only "EntireTaxCodeAndRegs" is given; for other years, this number is broken down by income tax vs. other taxes and code vs. regulations.
Thousands of words in the US tax code and federal
tax regulations, 1955-2015. This is based on data
from the Tax Foundation (taxfoundation.org), adjusted
to eliminate an obvious questionable observation in
The decline of 48 percent in
Independent of whether this adjustment is correct or not, it's clear that there have been roughly 3 words of regulations for each word in the tax code. Most of these are income tax regulations, which have recently contained 4.5 words for every word in code. The income tax code currently includes roughly 50 percent more words than other tax code.
Tax Foundation: Number of Words in Internal Revenue Code and Federal Tax Regulations, 1955-2005 Scott Greenberg, "Federal Tax Laws and Regulations are Now Over 10 Million Words Long", October 08, 2015
J. Scott Moody, Wendy P. Warcholik, and Scott A. Hodge (2005) "The Rising Cost of Complying with the Federal Income Tax", The Tax Foundation Special Report No. 138.
data(UStaxWords) plot(EntireTaxCodeAndRegs/1000 ~ year, UStaxWords, type='b', ylab='Millions of words in US tax code & regs')# Write to a file for Wikimedia Commons ## Not run: svg('UStaxWords.svg')## End(Not run) matplot(UStaxWords$year, UStaxWords[c(2:3, 5:6)]/1000, type='b', bty='n', ylab='', ylim=c(0, max(UStaxWords$EntireTaxCodeAndRegs)/1000), las=1, xlab="", cex.axis=2) lines(EntireTaxCodeAndRegs/1000~year, UStaxWords, lwd=2) ## Not run: dev.off()## End(Not run) # lines 1:4 = IncomeTaxCode, otherTaxCode, # IncomeTaxRegulations, # and otherTaxRegulations, respectively## ## Plotting the original numbers without the adjustment ## UStax. <- UStaxWords UStax.[2,c(6:7, 9:10)] <- c(1322, 2960, 1626, 3507) matplot(UStax.$year, UStax.[c(2:3, 5:6)]/1000, type='b', bty='n', ylab='', ylim=c(0, max(UStax.$EntireTaxCodeAndRegs)/1000), las=1, xlab="", cex.axis=2) lines(EntireTaxCodeAndRegs/1000~year, UStax., lwd=2) # Note especially the anomalous behaviour of line 4 = # otherTaxRegulations. As noted with "details" above, # otherTaxRegulations could have tripled between 1955 # and 1965, then fallen by 48 percent between 1965 and # 1975. However, that does not seem credible, # especially since there was no corresponding behavior # in otherTaxCode.## ## linear trend ## (newWdsPerYr <- lm(EntireTaxCodeAndRegs~year, UStaxWords)) plot(UStaxWords$year, resid(newWdsPerYr)) # Roughly 150,000 additional words added each year # since 1955. # No indication of nonlinearity.
Dataset imported from https://www.r-project.org.
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