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The Determinants of Urban and Rural Poverty in Tunisia


  • Samir Ghazouani

    () (Institut Superieur de Comptabilite et D'Administration de Entreprises (ISCAE))

  • Mohamed Goaied


The aim of this study is to identify the determinants of poverty in Tunisia, both urban and rural, taking into account the distinction between them. The objective is to determine the potential factors that determine poverty and to evaluate their impact on the level of the household?s welfare. A particular interest is given to econometric methodology which is concerned with the analysis of panel data with limited dependent variable models. The nature of the available statistical information (survey data) prompted the adoption of random effects Logit and Probit models where the double dimension was applied for the observation of individuals grouped into clusters. This allows the dissociation of a uniform behavior from the specific effects of the clusters, to identify possible differences at the level of standards of living between the households of different clusters.

Suggested Citation

  • Samir Ghazouani & Mohamed Goaied, 2001. "The Determinants of Urban and Rural Poverty in Tunisia," Working Papers 0126, Economic Research Forum, revised 09 Jun 2001.
  • Handle: RePEc:erg:wpaper:0126

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    References listed on IDEAS

    1. Deaton, Angus, 1990. "Price elasticities from survey data : Extensions and Indonesian results," Journal of Econometrics, Elsevier, vol. 44(3), pages 281-309, June.
    2. Deaton, Angus, 1987. "Estimation of own- and cross-price elasticities from household survey data," Journal of Econometrics, Elsevier, vol. 36(1-2), pages 7-30.
    3. Mohamed Ayadi & Mohamed Salah Matoussi & Maria-Pia Victoria-Feser, 1998. "Urban Rural Poverty Comparisons in Tunisia: A Robust Statistical Approach," Working Papers 9818, Economic Research Forum, revised 11 Dec 1998.
    4. François Laisney & Michael Lechner, 1996. "Utilisation jointe de données de panel et d'informations agrégées dans l'estimation d'un modèle Probit," Économie et Prévision, Programme National Persée, vol. 126(5), pages 177-189.
    5. Gary Chamberlain, 1980. "Analysis of Covariance with Qualitative Data," Review of Economic Studies, Oxford University Press, vol. 47(1), pages 225-238.
    6. Lanjouw, Peter & Milanovic, Branko & Paternostro, Stefano, 1998. "Poverty and the economic transition : how do changes in economies of scale affect poverty rates for different households?," Policy Research Working Paper Series 2009, The World Bank.
    7. Ravallion, Martin, 1996. "Issues in Measuring and Modelling Poverty," Economic Journal, Royal Economic Society, vol. 106(438), pages 1328-1343, September.
    8. Coulombe, Harold & Mckay, Andrew, 1996. "Modeling determinants of poverty in Mauritania," World Development, Elsevier, vol. 24(6), pages 1015-1031, June.
    9. Cohen, Barney & House, William J., 1994. "Demographic behavior and poverty: Micro-level evidence from Southern Sudan," World Development, Elsevier, vol. 22(7), pages 1031-1044, July.
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    Cited by:

    1. Nermin Oruc, 2015. "Urban IDPs and Poverty: Analysis of the Effect of Mass Forced Displacement on Urban Poverty in Bosnia and Herzegovina," Croatian Economic Survey, The Institute of Economics, Zagreb, vol. 17(1), pages 47-70, June.
    2. Apata, Temidayo Gabriel & Samuel, K.D. & Adeola, A.O., 2009. "Analysis of Climate Change Perception and Adaptation among Arable Food Crop Farmers in South Western Nigeria," 2009 Conference, August 16-22, 2009, Beijing, China 51365, International Association of Agricultural Economists.

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