Unemployment and property crime: evidence from Croatia

Recher, Vedran

doi:10.1007/s10611-019-09865-2

Cited by 12 publications

(3 citation statements)

References 41 publications

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“…Nearly half of the perpetrators are employed (45.5%), while a substantial proportion is unemployed (35.7%). This is expected considering the known unemployment and crime nexus (Raphael and Winter-Ebmer, 2001;Edmark, 2005;Recher, 2020), and knowing that unemployment rate in Croatia was 7.5 percent in 2021 (HZZ, 2021) In other words, the unemployment rate in our sample of violent perpetrators is by some margin larger than the average unemployment rate in the population. Almost half of the perpetrators are not married (48.7%), which could be relevant to understanding the social context of the individuals involved in violence.…”

Section: Data and Empirical Strategymentioning

confidence: 56%

Delinquency in Croatia: Decoding the Socio-Economic Roots Through Court Chronicles

Recher

2024

Zagreb International Review of Economics and Business

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This study examines the socio-economic determinants of violence intensity in Croatia, utilizing individual case data from court documents (2017-2021). Through a probit model analysis of 560 cases, key variables such as income levels, age, gender, alcohol usage, and marital status of both perpetrators and victims were scrutinized. Our findings indicate a significant association between lower income and higher violence intensity for both victims and perpetrators. Notably, perpetrators aged 65+ exhibit less frequent but more intense violent behavior. This study highlights the crucial role of income in violent behavior, suggesting targeted policies for lower income groups to effectively combat violence.

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Section: Data and Empirical Strategymentioning

confidence: 56%

Delinquency in Croatia: Decoding the Socio-Economic Roots Through Court Chronicles

Recher

2024

Zagreb International Review of Economics and Business

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“…The government needs to overcome unemployment because it has the potential to cause other problems, such as crime and poverty. Recher (2019) shows that unemployment does not affect property crime in aggregate in Croatia. Research conducted by Armin (2020) involving 31 provinces in Indonesia in 2013-2017 shows that the unemployment variable has a negative and insignificant effect on crime in Indonesia.…”

Section: Introductionmentioning

confidence: 95%

Socio-Economic and Property Crime Rate in Indonesia

Anozi,

Novianda

2023

EDAJ

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This study aims to analyze the effects of socio-economic factors (inequality in income distribution, poverty, unemployment, and population) on crime rates in 31 provinces in Indonesia. The article utilizes yearly data published by the Central Bureau of Statistics (BPS-Indonesia) from 2013 to 2022. This study examines the socio-economic effects on crime rates using the two-step System Generalized Method of Moments (SYS GMM). The estimation shows that the lag in the number of property crimes positively and significantly affects property crime in Indonesia. This result indicates a dynamic relationship with the property crime rate. Moreover, poverty, unemployment, and total population positively and significantly affect short- and long-run property crime rates. However, the Gini index shows a positive correlation but lacks significance in both short- and long-term effects. These estimation results recommend that efforts be made to alleviate poverty and ensure equitable income distribution. Poverty and inequality reduction need to be pursued by all parties, especially the government, through initiatives aimed at expanding employment opportunities and sustainably empowering the community's economy.

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“…Building on this notion, theoretical and empirical work in the economics of crime has examined a range of determinants of criminal offending. This literature considers an array of factors, such as labor market conditions (Ihlanfeldt, 2007;Machin & Meghir, 2004;Phillips & Land, 2012;Recher, 2020), education (Åslund et al, 2018;Machin et al, 2011), as well as the likelihood of detection and severity of punishment (e.g. Bhuller et al, 2020;Chalfin & McCrary, 2017) as important drivers of criminal offending.…”

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confidence: 99%