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Understanding Victimization: The Case of Mozambique

Author

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  • Mikkel Barslund

    (Department of Economics, University of Copenhagen)

  • John Rand

    (Department of Economics, University of Copenhagen)

  • Finn Tarp

    (Department of Economics, University of Copenhagen)

  • Jacinto Chiconela

    (Ministry of Planning and Development (MPD), Mozambique)

Abstract

This paper analyzes how different economic characteristics at the individual, household and community level affect the risk of victimization, controlling for the impact of (non-economic) sociological factors. We use a nation wide household survey from Mozambique and show that the probability of being victimized is increasing in income, but at a diminishing rate. At the same time, poorer households are vulnerable. While less at risk of victimization, they tend to suffer relatively greater losses when such shocks occur. Economic development and reduction in victimization go hand in hand, and lower inequality and increased employment appear as effective means of combating crime.

Suggested Citation

  • Mikkel Barslund & John Rand & Finn Tarp & Jacinto Chiconela, 2005. "Understanding Victimization: The Case of Mozambique," Discussion Papers 05-17, University of Copenhagen. Department of Economics.
    • Handle: RePEc:kud:kuiedp:0517
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    References listed on IDEAS

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    1. Dufhues, Thomas & Buchenrieder, Gertrud & Quoc, Hoang Dinh & Munkung, Nuchanata, 2011. "Social capital and loan repayment performance in Southeast Asia," Journal of Behavioral and Experimental Economics (formerly The Journal of Socio-Economics), Elsevier, vol. 40(5), pages 679-691.
    2. José Raimundo Carvalho & Sylvia Cristina Lavor, 2008. "Repeat criminal victimization and income inequality In Brazil," Anais do XXXVI Encontro Nacional de Economia [Proceedings of the 36th Brazilian Economics Meeting] 200807180945460, ANPEC - Associação Nacional dos Centros de Pós-Graduação em Economia [Brazilian Association of Graduate Programs in Economics].
    3. Joseph DeSalvo & Qing Su, 2013. "Determinants of Urban Sprawl: A Panel Data Approach," Working Papers 1613, University of South Florida, Department of Economics.
    4. José Kimou, 2012. "Economic conditions, enforcement, and criminal activities in the district of Abidjan," International Tax and Public Finance, Springer;International Institute of Public Finance, vol. 19(6), pages 913-941, December.
    5. Dufhues, Thomas & Buchenrieder, Gertrud & Munkung, Nuchanata, 2012. "Individual social capital and access to formal credit in Thailand," 2012 Conference, August 18-24, 2012, Foz do Iguacu, Brazil 123401, International Association of Agricultural Economists.
    6. Su, Qing, 2011. "Induced motor vehicle travel from improved fuel efficiency and road expansion," Energy Policy, Elsevier, vol. 39(11), pages 7257-7264.
    7. Christoph Zangger & Janine Widmer & Sandra Gilgen, 2021. "Work, Childcare, or Both? Experimental Evidence on the Efficacy of Childcare Subsidies in Raising Parental Labor Supply," Journal of Family and Economic Issues, Springer, vol. 42(3), pages 449-472, September.
    8. Shoji, Masahiro, 2013. "Guilt aversion and peer effects in crime: experimental and empirical evidence from Bangladesh," MPRA Paper 44746, University Library of Munich, Germany.
    9. Kosta Josifidis & Radmila Dragutinović Mitrović & Novica Supić, 2016. "Redistribution and Transmission Mechanisms of Income Inequality – Panel Analysis of the Affluent OECD Countries," Panoeconomicus, Savez ekonomista Vojvodine, Novi Sad, Serbia, vol. 63(2), pages 231-258, April.
    10. Constantino Carreto Romero & Aurora A. Ramirez-alvarez, 2022. "Why do mexicans report so little crime? The determinants of crime reporting in Mexico," Sobre México. Revista de Economía, Sobre México. Temas en economía, vol. 3(5), pages 42-68.
    11. World Bank, 2011. "Violence in the City," World Bank Publications - Reports 27454, The World Bank Group.
    12. Ulrike Grote & Thanh-Tung Nguyen & Trung Thanh Nguyen & Frank Neubacher, 2022. "Applying the routine activity approach to crime victimization in rural Southeast Asia," TVSEP Working Papers wp-025, Leibniz Universitaet Hannover, Institute for Environmental Economics and World Trade, Project TVSEP.
    13. Sinha, Avik & Bhattacharya, Joysankar, 2017. "Estimation of environmental Kuznets curve for SO2 emission: A case of Indian cities," MPRA Paper 100009, University Library of Munich, Germany.
    14. Masahiro Shoji, 2018. "Religious Fractionalisation and Crimes in Disaster-Affected Communities: Survey Evidence from Bangladesh," Journal of Development Studies, Taylor & Francis Journals, vol. 54(10), pages 1891-1911, October.
    15. Grote, Ulrike & Nguyen, Thanh-Tung & Nguyen, Trung Thanh & Neubacher, Frank, 2024. "Determinants and impacts of rural crime victimization: Evidence from a case study in Southeast Asia," Journal of Asian Economics, Elsevier, vol. 91(C).
    16. Iamsiraroj, Sasi & Doucouliagos, Hristos, 2015. "Does growth attract FDI?," Economics - The Open-Access, Open-Assessment E-Journal (2007-2020), Kiel Institute for the World Economy (IfW Kiel), vol. 9, pages 1-35.
    17. Shoji, Masahiro, 2017. "Eliciting Guilt Sensitivity to Predict Real-World Behavior," MPRA Paper 81451, University Library of Munich, Germany.
    18. Sinha, Avik & Gupta, Monika & Shahbaz, Muhammad & Sengupta, Tuhin, 2019. "Impact of Corruption in Public Sector on Environmental Quality: Implications for Sustainability in BRICS and Next 11 Countries," MPRA Paper 94357, University Library of Munich, Germany, revised 05 Jun 2019.
    19. Yoshito Takasaki, 2011. "Fraud and Poverty: Exploring Ex Ante Victim Data," Tsukuba Economics Working Papers 2011-002, Faculty of Humanities and Social Sciences, University of Tsukuba.
    20. Yoshito Takasaki, 2013. "Do natural disasters beget fraud victimization?: Unrealized coping through labor migration among the poor," Tsukuba Economics Working Papers 2013-002, Faculty of Humanities and Social Sciences, University of Tsukuba.
    21. Masahiro Shoji, 2014. "Channels of Peer Effects and Guilt Aversion in Crime: Experimental and Empirical Evidence from Bangladesh," CIRJE F-Series CIRJE-F-923, CIRJE, Faculty of Economics, University of Tokyo.
    22. Su, Qing, 2011. "The effect of population density, road network density, and congestion on household gasoline consumption in U.S. urban areas," Energy Economics, Elsevier, vol. 33(3), pages 445-452, May.
    23. Sinha, Avik & Rastogi, Siddhartha K., 2017. "Collaboration between Central and State Government and Environmental Quality: Evidences from Indian Cities," MPRA Paper 100012, University Library of Munich, Germany.
    24. Joseph DeSalvo & Qing Su, 2013. "An Empirical Analysis of Determinants of Multi-Dimensional Urban Sprawl," Working Papers 1813, University of South Florida, Department of Economics.
    25. Zhizhin, Leonid & Knorre, Alex & Kuchakov, Ruslan & Skougarevskiy, Dmitriy, 2023. "Cost of crime in Russia: A compensating variation approach," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 69, pages 91-120.

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    More about this item

    Keywords

    victimization; crime; Africa; Mozambique; development; probit;
    All these keywords.

    JEL classification:

    • K40 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - General
    • K42 - Law and Economics - - Legal Procedure, the Legal System, and Illegal Behavior - - - Illegal Behavior and the Enforcement of Law
    • O55 - Economic Development, Innovation, Technological Change, and Growth - - Economywide Country Studies - - - Africa

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