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Valuation of Specific Crime Rates in the United States, 1980 and 1990

Version
v0
Resource Type
Dataset : census/enumeration data, and aggregate data
Creator
  • Bartley, William Alan (Vanderbilt University)
Other Title
  • Archival Version (Subtitle)
Publication Date
2001-10-09
Funding Reference
  • United States Department of Justice. Office of Justice Programs. National Institute of Justice
Language
English
Free Keywords
census data; crime rates; crime reduction; decision making; households; housing costs; occupations; wages and salaries
Description
  • Abstract

    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.
  • Abstract

    This study aimed to evaluate the explicit costs of crime to society. There have been two previous approaches to this problem. First, hedonic models sought to isolate the value individuals placed on specific amenities or disamenities, such as weather, air pollution, and crime rates, as seen in the wages they required and the prices they paid for housing. The second approach evaluated costs by combining the actual out-of-pocket expenses associated with crime with the imputed costs from the pain, suffering, and fear of crime. This data collection combined these two methods to obtain a market-based estimate for specific crimes. In particular, this project was designed to isolate the effects that individual crimes have on wage rates (Part 1) and housing prices (Part 2), 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.
  • Abstract

    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). To improve upon previous research, this data collection utilized Sample B Census data, which include information from more urban areas and also include urban areas that cross state lines. 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.
  • Abstract

    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.
  • Methods

    ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Standardized missing values.; Checked for undocumented or out-of-range codes..
  • Methods

    Presence of Common Scales: None.
  • Methods

    Response Rates: Not applicable.
  • Table of Contents

    Datasets:

    • DS0: Study-Level Files
    • DS1: Wages Data
    • DS2: Housing Data
Temporal Coverage
  • Collection date: 1999
Geographic Coverage
  • United States
Sampled Universe
All individuals and households in the United States in 1980 or 1990.
Sampling
Nationally representative sample.
Collection Mode
  • The user guide and codebook are provided by ICPSR as Portable Document Format (PDF) files. The PDF file format was developed by Adobe Systems Incorporated and can be accessed using PDF reader software, such as the Adobe Acrobat Reader. Information on how to obtain a copy of the Acrobat Reader is provided on the ICPSR Web site.

Note
2006-01-18 File UG3161.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads.2006-01-18 File CB3161.ALL.PDF was removed from any previous datasets and flagged as a study-level file, so that it will accompany all downloads. Funding insitution(s): United States Department of Justice. Office of Justice Programs. National Institute of Justice (99-IJ-CX-0006).
Availability
Delivery
This version of the study is no longer available on the web. If you need to acquire this version of the data, you have to contact ICPSR User Support (help@icpsr.umich.edu).
Alternative Identifiers
  • 3161 (Type: ICPSR Study Number)
Relations
  • Is previous version of
    DOI: 10.3886/ICPSR03161.v1
Publications
  • Bartley, William Alan. A Valuation of Specific Crime Rates. Dissertation, Vanderbilt University. 2000.
    • ID: https://www.ncjrs.gov/pdffiles1/nij/grants/187771.pdf (URL)
  • Bartley, William Alan. A Valuation of Specific Crime Rates: Final Report. NCJ 188070, Washington, DC: United States Department of Justice, National Institute of Justice. 2000.
    • ID: https://www.ncjrs.gov/pdffiles1/pr/188070.pdf (URL)

Update Metadata: 2015-08-05 | Issue Number: 6 | Registration Date: 2015-06-15

Bartley, William Alan (2001): Valuation of Specific Crime Rates in the United States, 1980 and 1990. Archival Version. Version: v0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/ICPSR03161