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• W3026983892 abstract "Abstract Criminality is an increasing problem in urban centres. In this paper, we are contributing to this literature estimating the causal relationship between per capita incomes on homicides rates. The simultaneity between those two variables and spatial spillover make our aim challenging. To deal with this problem, we combine two regression techniques: Instrumental variable and spatial econometrics. Using rainfall as an instrument, we have found that increases of GDP per capita by 1% reduces the municipality homicides by 0.79% in total, 0.5% directly and 0.3% indirectly. In other words, the indirect effect arises because of the influence of each variable on the neighbours' dependent variable and these spillovers amplify the GDP per capita effect on homicides rates. Another finding relevant is climate change. We have done a forecasting exercise decreasing the rainfall around 5 SE (− 28.5ml 3 ) , then we have found that homicides rates increased 4%." @default.
• W3026983892 created "2020-05-29" @default.
• W3026983892 creator A5043268975 @default.
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• W3026983892 date "2020-08-05" @default.
• W3026983892 modified "2023-10-18" @default.
• W3026983892 title "Does per capita income cause homicide rates? An application of an IV spatial model" @default.
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• W3026983892 doi "https://doi.org/10.1111/rsp3.12301" @default.
• W3026983892 hasPublicationYear "2020" @default.
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