csp: Correlates of State Policy Dataset in R

Introduction

This package contains the Correlates of State Policy dataset, which

… includes more than seven-hundred variables, with observations across the U.S. 50 > states and time (1900 – 2016). These variables represent policy outputs or > political, social, or economic factors that may influence policy differences > across the states. The codebook includes the variable name, a short description > of the variable, the variable time frame, a longer description of the variable, > and the variable source(s) and notes.

Suggested citation:

Jordan, Marty P. and Matt Grossmann. 2016. The Correlates of State Policy Project v.1.0. East Lansing, MI: Institute for Public Policy and Social Research (IPPSR).

The package allows the user to load and work with the dataset using the R programming language. Crucially, it incorporates the entire codebook into the dataset, which allows for easier filtering, finding units and sources, etc.

Example use

library(csp)
library(ggplot2)

data(csp, package = "csp")
dim(csp)

## [1] 4385745      13

names(csp)

##  [1] "year"          "st"            "stateno"       "state"        
##  [5] "state_fips"    "state_icpsr"   "variable"      "value"        
##  [9] "var_desc"      "dates"         "var_long_desc" "sources_notes"
## [13] "topic"

csp[1:2, ]

##   year st stateno   state state_fips state_icpsr      variable value
## 1 1900 AK       2  Alaska          2          81 pollib_median  <NA>
## 2 1900 AL       1 Alabama          1          41 pollib_median  <NA>
##                                 var_desc       dates
## 1 State Policy Liberalism Score - Median 1936 - 2014
## 2 State Policy Liberalism Score - Median 1936 - 2014
##                                                                                                                                                                  var_long_desc
## 1 Relying on a dynamic latent-variable model to model 148 policies collected over eight decades, the authors produce a yearly measure of the policy liberalism of U.S. states.
## 2 Relying on a dynamic latent-variable model to model 148 policies collected over eight decades, the authors produce a yearly measure of the policy liberalism of U.S. states.
##                                                                                                                                                                                                                                                     sources_notes
## 1 Caughey, Devin, and Christopher Warshaw. 2015. "The Dynamics of State Policy Liberalism, 1936-2014." American Journal of Political Science, September. doi: 10.1111/ajps.12219. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZXZMJB
## 2 Caughey, Devin, and Christopher Warshaw. 2015. "The Dynamics of State Policy Liberalism, 1936-2014." American Journal of Political Science, September. doi: 10.1111/ajps.12219. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/ZXZMJB
##               topic
## 1 I. POLICY OUTPUTS
## 2 I. POLICY OUTPUTS

df <- subset(csp, variable == "real2_pc_inc_quar")
df$value <- as.numeric(df$value)

ggplot(df, aes(x = year, y = value, color = state)) +
  geom_line(show.legend = FALSE) +
  scale_color_grey() +
  theme_light() +
  labs(x = NULL, y = NULL,
       title = df$var_desc[1],
       subtitle = df$var_long_desc[1])

csp: Correlates of State Policy Dataset in R

Eric Persson

2016-07-04

Introduction

Example use

Disclaimer