A factor analysis of socio-economic determinants of property crimes in cities
Abstract In the past a number of studies on the economics of crime have emphasized the importance of deterrence in crime prevention while assigning lesser importance to socio-economic determinants. Others have concentrated on the role of the socio-economic variables in crime production and have util...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Mathur, Vijay K. [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
1976 |
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| Schlagwörter: |
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| Anmerkung: |
© Annals of Regional Science 1976 |
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| Übergeordnetes Werk: |
Enthalten in: The annals of regional science - Springer-Verlag, 1967, 10(1976), 2 vom: Juli, Seite 116-127 |
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| Übergeordnetes Werk: |
volume:10 ; year:1976 ; number:2 ; month:07 ; pages:116-127 |
| Links: |
|---|
| DOI / URN: |
10.1007/BF01303247 |
|---|
| Katalog-ID: |
OLC2061231845 |
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| 520 | |a Abstract In the past a number of studies on the economics of crime have emphasized the importance of deterrence in crime prevention while assigning lesser importance to socio-economic determinants. Others have concentrated on the role of the socio-economic variables in crime production and have utilized the multiple regression analysis which has produced ambiguous results due to the presence of strong multicollinearity among independent variables. This paper is concerned with socio-economic determinants of urban property crimes, and utilizes factor analysis to overcome the problems associated with multicollinearity. Three factors are extracted out of twelve variables with data from the 47 of the largest cities in Ohio in 1970. The three factors are used as independent variables in the linear regression analysis for different types of property crimes. The highlights of the findings are that economic forces play an important role in the determination of property crimes but in addition other sociological variables which represent attitudes, tradition, mores and values are also important. “Ethnicity” or variables associated with community stability seem to discourage deviant behavior and thus crime. Economists may, therefore, need to give greater attention to these variables. | ||
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10.1007/BF01303247 doi (DE-627)OLC2061231845 (DE-He213)BF01303247-p DE-627 ger DE-627 rakwb eng 710 333.7 VZ 500 VZ 14 ssgn Mathur, Vijay K. verfasserin aut A factor analysis of socio-economic determinants of property crimes in cities 1976 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Annals of Regional Science 1976 Abstract In the past a number of studies on the economics of crime have emphasized the importance of deterrence in crime prevention while assigning lesser importance to socio-economic determinants. Others have concentrated on the role of the socio-economic variables in crime production and have utilized the multiple regression analysis which has produced ambiguous results due to the presence of strong multicollinearity among independent variables. This paper is concerned with socio-economic determinants of urban property crimes, and utilizes factor analysis to overcome the problems associated with multicollinearity. Three factors are extracted out of twelve variables with data from the 47 of the largest cities in Ohio in 1970. The three factors are used as independent variables in the linear regression analysis for different types of property crimes. The highlights of the findings are that economic forces play an important role in the determination of property crimes but in addition other sociological variables which represent attitudes, tradition, mores and values are also important. “Ethnicity” or variables associated with community stability seem to discourage deviant behavior and thus crime. Economists may, therefore, need to give greater attention to these variables. Regression Analysis Linear Regression Linear Regression Analysis Multiple Regression Analysis Environmental Economic Enthalten in The annals of regional science Springer-Verlag, 1967 10(1976), 2 vom: Juli, Seite 116-127 (DE-627)129849847 (DE-600)280074-3 (DE-576)015148394 0570-1864 nnns volume:10 year:1976 number:2 month:07 pages:116-127 https://doi.org/10.1007/BF01303247 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-GEO SSG-OLC-WIW SSG-OPC-GGO GBV_ILN_21 GBV_ILN_22 GBV_ILN_26 GBV_ILN_40 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4082 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4310 GBV_ILN_4311 GBV_ILN_4324 GBV_ILN_4393 AR 10 1976 2 07 116-127 |
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10.1007/BF01303247 doi (DE-627)OLC2061231845 (DE-He213)BF01303247-p DE-627 ger DE-627 rakwb eng 710 333.7 VZ 500 VZ 14 ssgn Mathur, Vijay K. verfasserin aut A factor analysis of socio-economic determinants of property crimes in cities 1976 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Annals of Regional Science 1976 Abstract In the past a number of studies on the economics of crime have emphasized the importance of deterrence in crime prevention while assigning lesser importance to socio-economic determinants. Others have concentrated on the role of the socio-economic variables in crime production and have utilized the multiple regression analysis which has produced ambiguous results due to the presence of strong multicollinearity among independent variables. This paper is concerned with socio-economic determinants of urban property crimes, and utilizes factor analysis to overcome the problems associated with multicollinearity. Three factors are extracted out of twelve variables with data from the 47 of the largest cities in Ohio in 1970. The three factors are used as independent variables in the linear regression analysis for different types of property crimes. The highlights of the findings are that economic forces play an important role in the determination of property crimes but in addition other sociological variables which represent attitudes, tradition, mores and values are also important. “Ethnicity” or variables associated with community stability seem to discourage deviant behavior and thus crime. Economists may, therefore, need to give greater attention to these variables. Regression Analysis Linear Regression Linear Regression Analysis Multiple Regression Analysis Environmental Economic Enthalten in The annals of regional science Springer-Verlag, 1967 10(1976), 2 vom: Juli, Seite 116-127 (DE-627)129849847 (DE-600)280074-3 (DE-576)015148394 0570-1864 nnns volume:10 year:1976 number:2 month:07 pages:116-127 https://doi.org/10.1007/BF01303247 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-GEO SSG-OLC-WIW SSG-OPC-GGO GBV_ILN_21 GBV_ILN_22 GBV_ILN_26 GBV_ILN_40 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4082 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4310 GBV_ILN_4311 GBV_ILN_4324 GBV_ILN_4393 AR 10 1976 2 07 116-127 |
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10.1007/BF01303247 doi (DE-627)OLC2061231845 (DE-He213)BF01303247-p DE-627 ger DE-627 rakwb eng 710 333.7 VZ 500 VZ 14 ssgn Mathur, Vijay K. verfasserin aut A factor analysis of socio-economic determinants of property crimes in cities 1976 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Annals of Regional Science 1976 Abstract In the past a number of studies on the economics of crime have emphasized the importance of deterrence in crime prevention while assigning lesser importance to socio-economic determinants. Others have concentrated on the role of the socio-economic variables in crime production and have utilized the multiple regression analysis which has produced ambiguous results due to the presence of strong multicollinearity among independent variables. This paper is concerned with socio-economic determinants of urban property crimes, and utilizes factor analysis to overcome the problems associated with multicollinearity. Three factors are extracted out of twelve variables with data from the 47 of the largest cities in Ohio in 1970. The three factors are used as independent variables in the linear regression analysis for different types of property crimes. The highlights of the findings are that economic forces play an important role in the determination of property crimes but in addition other sociological variables which represent attitudes, tradition, mores and values are also important. “Ethnicity” or variables associated with community stability seem to discourage deviant behavior and thus crime. Economists may, therefore, need to give greater attention to these variables. Regression Analysis Linear Regression Linear Regression Analysis Multiple Regression Analysis Environmental Economic Enthalten in The annals of regional science Springer-Verlag, 1967 10(1976), 2 vom: Juli, Seite 116-127 (DE-627)129849847 (DE-600)280074-3 (DE-576)015148394 0570-1864 nnns volume:10 year:1976 number:2 month:07 pages:116-127 https://doi.org/10.1007/BF01303247 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-GEO SSG-OLC-WIW SSG-OPC-GGO GBV_ILN_21 GBV_ILN_22 GBV_ILN_26 GBV_ILN_40 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4082 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4310 GBV_ILN_4311 GBV_ILN_4324 GBV_ILN_4393 AR 10 1976 2 07 116-127 |
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10.1007/BF01303247 doi (DE-627)OLC2061231845 (DE-He213)BF01303247-p DE-627 ger DE-627 rakwb eng 710 333.7 VZ 500 VZ 14 ssgn Mathur, Vijay K. verfasserin aut A factor analysis of socio-economic determinants of property crimes in cities 1976 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Annals of Regional Science 1976 Abstract In the past a number of studies on the economics of crime have emphasized the importance of deterrence in crime prevention while assigning lesser importance to socio-economic determinants. Others have concentrated on the role of the socio-economic variables in crime production and have utilized the multiple regression analysis which has produced ambiguous results due to the presence of strong multicollinearity among independent variables. This paper is concerned with socio-economic determinants of urban property crimes, and utilizes factor analysis to overcome the problems associated with multicollinearity. Three factors are extracted out of twelve variables with data from the 47 of the largest cities in Ohio in 1970. The three factors are used as independent variables in the linear regression analysis for different types of property crimes. The highlights of the findings are that economic forces play an important role in the determination of property crimes but in addition other sociological variables which represent attitudes, tradition, mores and values are also important. “Ethnicity” or variables associated with community stability seem to discourage deviant behavior and thus crime. Economists may, therefore, need to give greater attention to these variables. Regression Analysis Linear Regression Linear Regression Analysis Multiple Regression Analysis Environmental Economic Enthalten in The annals of regional science Springer-Verlag, 1967 10(1976), 2 vom: Juli, Seite 116-127 (DE-627)129849847 (DE-600)280074-3 (DE-576)015148394 0570-1864 nnns volume:10 year:1976 number:2 month:07 pages:116-127 https://doi.org/10.1007/BF01303247 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-GEO SSG-OLC-WIW SSG-OPC-GGO GBV_ILN_21 GBV_ILN_22 GBV_ILN_26 GBV_ILN_40 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4082 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4310 GBV_ILN_4311 GBV_ILN_4324 GBV_ILN_4393 AR 10 1976 2 07 116-127 |
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10.1007/BF01303247 doi (DE-627)OLC2061231845 (DE-He213)BF01303247-p DE-627 ger DE-627 rakwb eng 710 333.7 VZ 500 VZ 14 ssgn Mathur, Vijay K. verfasserin aut A factor analysis of socio-economic determinants of property crimes in cities 1976 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Annals of Regional Science 1976 Abstract In the past a number of studies on the economics of crime have emphasized the importance of deterrence in crime prevention while assigning lesser importance to socio-economic determinants. Others have concentrated on the role of the socio-economic variables in crime production and have utilized the multiple regression analysis which has produced ambiguous results due to the presence of strong multicollinearity among independent variables. This paper is concerned with socio-economic determinants of urban property crimes, and utilizes factor analysis to overcome the problems associated with multicollinearity. Three factors are extracted out of twelve variables with data from the 47 of the largest cities in Ohio in 1970. The three factors are used as independent variables in the linear regression analysis for different types of property crimes. The highlights of the findings are that economic forces play an important role in the determination of property crimes but in addition other sociological variables which represent attitudes, tradition, mores and values are also important. “Ethnicity” or variables associated with community stability seem to discourage deviant behavior and thus crime. Economists may, therefore, need to give greater attention to these variables. Regression Analysis Linear Regression Linear Regression Analysis Multiple Regression Analysis Environmental Economic Enthalten in The annals of regional science Springer-Verlag, 1967 10(1976), 2 vom: Juli, Seite 116-127 (DE-627)129849847 (DE-600)280074-3 (DE-576)015148394 0570-1864 nnns volume:10 year:1976 number:2 month:07 pages:116-127 https://doi.org/10.1007/BF01303247 lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-ARC SSG-OLC-PHY SSG-OLC-CHE SSG-OLC-GEO SSG-OLC-WIW SSG-OPC-GGO GBV_ILN_21 GBV_ILN_22 GBV_ILN_26 GBV_ILN_40 GBV_ILN_70 GBV_ILN_130 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_4012 GBV_ILN_4046 GBV_ILN_4082 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4310 GBV_ILN_4311 GBV_ILN_4324 GBV_ILN_4393 AR 10 1976 2 07 116-127 |
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710 333.7 VZ 500 VZ 14 ssgn A factor analysis of socio-economic determinants of property crimes in cities Regression Analysis Linear Regression Linear Regression Analysis Multiple Regression Analysis Environmental Economic |
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A factor analysis of socio-economic determinants of property crimes in cities |
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A factor analysis of socio-economic determinants of property crimes in cities |
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Mathur, Vijay K. |
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1976 |
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Mathur, Vijay K. |
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a factor analysis of socio-economic determinants of property crimes in cities |
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A factor analysis of socio-economic determinants of property crimes in cities |
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Abstract In the past a number of studies on the economics of crime have emphasized the importance of deterrence in crime prevention while assigning lesser importance to socio-economic determinants. Others have concentrated on the role of the socio-economic variables in crime production and have utilized the multiple regression analysis which has produced ambiguous results due to the presence of strong multicollinearity among independent variables. This paper is concerned with socio-economic determinants of urban property crimes, and utilizes factor analysis to overcome the problems associated with multicollinearity. Three factors are extracted out of twelve variables with data from the 47 of the largest cities in Ohio in 1970. The three factors are used as independent variables in the linear regression analysis for different types of property crimes. The highlights of the findings are that economic forces play an important role in the determination of property crimes but in addition other sociological variables which represent attitudes, tradition, mores and values are also important. “Ethnicity” or variables associated with community stability seem to discourage deviant behavior and thus crime. Economists may, therefore, need to give greater attention to these variables. © Annals of Regional Science 1976 |
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Abstract In the past a number of studies on the economics of crime have emphasized the importance of deterrence in crime prevention while assigning lesser importance to socio-economic determinants. Others have concentrated on the role of the socio-economic variables in crime production and have utilized the multiple regression analysis which has produced ambiguous results due to the presence of strong multicollinearity among independent variables. This paper is concerned with socio-economic determinants of urban property crimes, and utilizes factor analysis to overcome the problems associated with multicollinearity. Three factors are extracted out of twelve variables with data from the 47 of the largest cities in Ohio in 1970. The three factors are used as independent variables in the linear regression analysis for different types of property crimes. The highlights of the findings are that economic forces play an important role in the determination of property crimes but in addition other sociological variables which represent attitudes, tradition, mores and values are also important. “Ethnicity” or variables associated with community stability seem to discourage deviant behavior and thus crime. Economists may, therefore, need to give greater attention to these variables. © Annals of Regional Science 1976 |
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Abstract In the past a number of studies on the economics of crime have emphasized the importance of deterrence in crime prevention while assigning lesser importance to socio-economic determinants. Others have concentrated on the role of the socio-economic variables in crime production and have utilized the multiple regression analysis which has produced ambiguous results due to the presence of strong multicollinearity among independent variables. This paper is concerned with socio-economic determinants of urban property crimes, and utilizes factor analysis to overcome the problems associated with multicollinearity. Three factors are extracted out of twelve variables with data from the 47 of the largest cities in Ohio in 1970. The three factors are used as independent variables in the linear regression analysis for different types of property crimes. The highlights of the findings are that economic forces play an important role in the determination of property crimes but in addition other sociological variables which represent attitudes, tradition, mores and values are also important. “Ethnicity” or variables associated with community stability seem to discourage deviant behavior and thus crime. Economists may, therefore, need to give greater attention to these variables. © Annals of Regional Science 1976 |
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A factor analysis of socio-economic determinants of property crimes in cities |
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