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As one of the dimensions of vulnerability, this paper empirically investigates the inability of rural dwellers to cope with negative income shocks. A variable coefficient regression model is applied to a two-period household panel dataset collected in the North-West Frontier Province, Pakistan, an area with high incidence of income poverty and low human development. The empirical model allows for a different ability to smooth consumption, approximated by a linear function of households’ attributes, and controls for the endogeneity of observed changes in income, using qualitative information on subjective risk assessment. Estimation results show that the ability to cope with negative income shocks is lower for households that are aged, landless and do not receive remittances regularly. [ABSTRACT FROM AUTHOR]

Inequality matters for poverty reduction. However, it is often unclear what policy could do to change the distribution of income as to date there is little quantitative evidence about the household characteristics that determine the level of income inequality and its changes over time. This paper sets out to identify these determinants by adapting a regression-based inequality decomposition technique and applying it to panel data from rural Pakistan. Land ownership is key to explaining the level of inequality, but not its changes. In contrast, higher education drives changes, but not the level of inequality. Household location affects both, reflecting growing differences in market access across regions. [ABSTRACT FROM AUTHOR]