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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.
References
Cunningham. 2021. Causal Inference: The Mixtape. Yale Press. https://mixtape.scunning.com/index.html.