nmm 22 4500 ICPSR03161 MiAaI m f a u cr mn mmmmuuuu 130522s2001 miu f a eng d (MiAaI)ICPSR03161 MiAaI MiAaI Valuation of Specific Crime Rates in the United States, 1980 and 1990 [electronic resource] William Alan Bartley 2006-01-18 Ann Arbor, Mich. Inter-university Consortium for Political and Social Research [distributor] 2001 ICPSR 3161 Numeric Title from ICPSR DDI metadata of 2013-05-22. AVAILABLE. This study is freely available to the general public. Also available as downloadable files. 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. Cf.: http://dx.doi.org/10.3886/ICPSR03161.v1 census data icpsr crime rates icpsr crime reduction icpsr decision making icpsr households icpsr housing costs icpsr occupations icpsr wages and salaries icpsr ICPSR XVII.E. Social Institutions and Behavior, Crime and the Criminal Justice System NACJD VII. Crime and Delinquency NACJD XIV. Homicide Studies Bartley, William Alan Vanderbilt University Inter-university Consortium for Political and Social Research. ICPSR (Series) Access restricted ; authentication may be required: http://dx.doi.org/10.3886/ICPSR03161.v1