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Domestic violence against women, and their economic dependence: A count data analysis

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  • Bharati Basu
  • Felix Famoye

Abstract

In examining the relation between violence against women and women's economic dependence, existing literature treats the incidents of violence either as a binary or as a continuous variable. However, the incidents of violence is a count variable and, quite often, data on the number of violent incidents is categorized. This paper estimates the relation between violence against women and economic dependence by using a categorized negative binomial regression model. The model is suitable for categorized count data and thus provides a more accurate estimation of the relation than what is provided in the literature. Data analyses in this paper show that less economic dependence of women is associated with less violence.

Suggested Citation

  • Bharati Basu & Felix Famoye, 2004. "Domestic violence against women, and their economic dependence: A count data analysis," Review of Political Economy, Taylor & Francis Journals, vol. 16(4), pages 457-472.
    • Handle: RePEc:taf:revpoe:v:16:y:2004:i:4:p:457-472
    DOI: 10.1080/0953825042000256685
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    References listed on IDEAS

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    1. Amy Farmer & Jill Tiefenthaler, 1997. "An Economic Analysis of Domestic Violence," Review of Social Economy, Taylor & Francis Journals, vol. 55(3), pages 337-358.
    2. Gary S. Becker, 1981. "A Treatise on the Family," NBER Books, National Bureau of Economic Research, Inc, number beck81-1.
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    4. Farmer, Amy & Tiefenthaler, Jill, 1996. "Domestic Violence: The Value of Services as Signals," American Economic Review, American Economic Association, vol. 86(2), pages 274-279, May.
    5. Becker, Gary S, 1973. "A Theory of Marriage: Part I," Journal of Political Economy, University of Chicago Press, vol. 81(4), pages 813-846, July-Aug..
    6. Tauchen, Helen V & Witte, Ann Dryden & Long, Sharon K, 1991. "Domestic Violence: A Nonrandom Affair," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 32(2), pages 491-511, May.
    7. Hausman, Jerry & Hall, Bronwyn H & Griliches, Zvi, 1984. "Econometric Models for Count Data with an Application to the Patents-R&D Relationship," Econometrica, Econometric Society, vol. 52(4), pages 909-938, July.
    8. Miguel A. Delgado & Thomas J. Kniesner, 1997. "Count Data Models With Variance Of Unknown Form: An Application To A Hedonic Model Of Worker Absenteeism," The Review of Economics and Statistics, MIT Press, vol. 79(1), pages 41-49, February.
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    Cited by:

    1. RocioRibero & FabioSánchez, 2005. "Determinants, Effects And Costs Of Domestic Violence," Documentos CEDE 2339, Universidad de los Andes, Facultad de Economía, CEDE.
    2. Augusto Mendoza Calderón, 2017. "El Efecto del Empleo sobre la Violencia Doméstica: Evidencia para las Mujeres Peruanas," Working Papers 99, Peruvian Economic Association.
    3. Marjorie Pichon & Sarah Treves-Kagan & Erin Stern & Nambusi Kyegombe & Heidi Stöckl & Ana Maria Buller, 2020. "A Mixed-Methods Systematic Review: Infidelity, Romantic Jealousy and Intimate Partner Violence against Women," IJERPH, MDPI, vol. 17(16), pages 1-35, August.
    4. M. Amelia Gibbons & Tommy E. Murphy & Martín A. Rossi, 2021. "Confinement and intimate partner violence," Kyklos, Wiley Blackwell, vol. 74(3), pages 349-361, August.
    5. Felix Famoye & Carl Lee, 2017. "Exponentiated-exponential geometric regression model," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(16), pages 2963-2977, December.
    6. Seguino, Stephanie, 2006. "The Road to Gender Equality: Global Trends and the Way Forward," MPRA Paper 6510, University Library of Munich, Germany.
    7. Qiang Fu & Xin Guo & Kenneth C. Land, 2020. "Optimizing Count Responses in Surveys: A Machine-learning Approach," Sociological Methods & Research, , vol. 49(3), pages 637-671, August.

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