castle: Data on castle-doctrine statutes and violent crime
In causaldata: Example Data Sets for Causal Inference Textbooks

castle

R Documentation

Data on castle-doctrine statutes and violent crime

Description

This data looks at the impact of castle-doctrine statutes on violent crime. Data from the FBI Uniform Crime Reports Summary files are combined with information on castle-doctrine/stand-your-ground law impementation in different states.

Usage

castle

Format

A data frame with 19584 rows and 22 variables

year: Year
post: After-treatment
sid: state id
robbery_gun_r: Region-quarter fixed effects
jhcitizen_c: justifiable homicide by private citizen count
jhpolice_c: justifiable homicide by police count
homicide: homicide count per 100,000 state population
robbery: Region-quarter fixed effects
assault: aggravated assault count per 100,000 state population
burglary: burglary count per 100,000 state population
larceny: larceny count per 100,000 state population
motor: motor vehicle theft count per 100,000 state population
murder: murder count per 100,000 state population
unemployrt: unemployment rate
blackm_15_24: % of black male aged 15-24
whitem_15_24: % of white male aged 15-24
blackm_25_44: % of black male aged 25-44
whitem_25_44: % of white male aged 25-44
poverty: poverty rate
l_homicide: Logged crime rate
l_larceny: Logged crime rate
l_motor: Logged crime rate
l_police: Logged police presence
l_income: Logged income
l_prisoner: Logged number of prisoners
l_lagprisoner: Lagged log prisoners
l_exp_subsidy: Logged subsidy spending
l_exp_pubwelfare: Logged public welfare spending
lead1,lead2,lead3,lead4,lead5,lead6,lead7,lead8,lead9,lag0,lag1,lag2,lag3,lag4,lag5: Indicators of how many time periods until/since treatment
popwt: Population weight
r20001,r20002,r20003,r20004,r20011,r20012,r20013,r20014,r20021,r20022,r20023,r20024,r20031,r20032,r20033,r20034,r20041,r20042,r20043,r20044,r20051,r20052,r20053,r20054,r20061,r20062,r20063,r20064,r20071,r20072,r20073,r20074,r20081,r20082,r20083,r20084,r20091,r20092,r20093,r20094,r20101,r20102,r20103,r20104: Region-quarter fixed effects
trend_1,trend_10,trend_11,trend_12,trend_13,trend_14,trend_15,trend_16,trend_17,trend_18,trend_19,trend_2,trend_20,trend_21,trend_22,trend_23,trend_24,trend_25,trend_26,trend_27,trend_28,trend_29,trend_3,trend_30,trend_31,trend_32,trend_33,trend_34,trend_35,trend_36,trend_37,trend_38,trend_39,trend_4,trend_40,trend_41,trend_42,trend_43,trend_44,trend_45,trend_46,trend_47,trend_48,trend_49,trend_5,trend_50,trend_51,trend_6,trend_7,trend_8,trend_9: State linear time trends

Details

This data is used in the Difference-in-Differences chapter of Causal Inference: The Mixtape by Cunningham.

Source

Cheng, Cheng, and Mark Hoekstra. 2013. “Does Strengthening Self-Defense Law Deter Crime or Escalate Violence? Evidence from Expansions to Castle Doctrine.” Journal of Human Resources 48 (3): 821–54.