Valuation of Specific Crime Rates in the United States, 1980 and 1990
Description
This project was designed to isolate the effects that
individual crimes have on wage rates and housing prices, as gauged by
individuals' and households' decisionmaking preferences changing over
time. Additionally, this project sought to compute a dollar value
that individuals would bear in their wages and housing costs to reduce
the rates of specific crimes. The study used multiple decades of
information obtained from counties across the United States to create
a panel dataset. This approach was designed to compensate for the
problem of collinearity by tracking how housing and occupation choices
within particular locations changed over the decade considering
all amenities or disamenities, including specific crime rates. Census
data were obtained for this project from the Integrated Public Use
Microdata Series (IPUMS) constructed by Ruggles and Sobek
(1997). Crime data were obtained from the Federal Bureau of
Investigation's Uniform Crime Reports (UCR). Other data were collected
from the American Chamber of Commerce Researchers Association, County
and City Data Book, National Oceanic and Atmospheric Administration,
and Environmental Protection Agency. Independent variables for the
Wages Data (Part 1) include years of education, school enrollment,
sex, ability to speak English well, race, veteran status, employment
status, and occupation and industry. Independent variables for the
Housing Data (Part 2) include number of bedrooms, number of other
rooms, building age, whether unit was a condominium or detached
single-family house, acreage, and whether the unit had a kitchen,
plumbing, public sewers, and water service. Both files include the
following variables as separating factors: census geographic division,
cost-of-living index, percentage unemployed, percentage vacant
housing, labor force employed in manufacturing, living near a
coastline, living or working in the central city, per capita local
taxes, per capita intergovernmental revenue, per capita property
taxes, population density, and commute time to work. Lastly, the
following variables measured amenities or disamenities: average
precipitation, temperature, windspeed, sunshine, humidity,
teacher-pupil ratio, number of Superfund sites, total suspended
particulate in air, and rates of murder, rape, robbery, aggravated
assault, burglary, larceny, auto theft, violent crimes, and property
crimes.
Resources
| Name |
Format |
Description |
Link |
|
0 |
ICPSR03161.v1 |
https://doi.org/10.3886/ICPSR03161.v1 |
Tags
- wages-and-salaries
- housing-costs
- decision-making
- occupations
- households
- crime-reduction
- crime-rates
- census-data