Elisa Gamberoni

Aid for trade: matching potential demand and supply

This paper is designed to help both the beneficiary governments and donors of aid-for-trade identify countries that are under-performing in trade and which are receiving less aid for trade than their global performance might otherwise suggest is necessary. The authors develop ten measures of trade performance and capacity (including trade-related infrastructure, institutions, and incentives) to assess potential demand, and then look at country allocations of aid for trade to see which are receiving below-average amounts in the supply of aid for trade - relative to their potential demand. As they design national development strategies, countries may wish to consider giving greater attention to trade and requesting that donors allocate more aid for trade. As part of the analysis, the paper provides a conceptual framework for selecting indicators of trade performance and its policy determinants that the World Trade Organization and its partners might monitor closely as part of the aid for trade initiative.

Firm heterogeneity, rules of origin and rules of cumulation

This paper sheds light on the restrictive nature of rules of origin (ROO) and on the role of diagonal cumulation in mitigating the protectionist content of ROO. Empirical evidence suggests that diagonal cumulation has beneficial effects on trade - particularly among spoke countries. We show that these patterns can be reconciled with a theoretical setting where heterogeneous firms buy intermediate inputs from domestic and foreign sources. The model finds that switching from bilateral to diagonal cumulation relaxes the restrictiveness of the ROO and leads the least productive exporters to stop exporting.

Bridging the gap : identifying what is holding self-employed women back in Ghana, Rwanda, Tanzania, the Republic of Congo, and Uganda

This paper explores the determinants of the gender gap in income earnings in five Sub-Saharan countries: the Republic of Congo, Ghana, Rwanda, Uganda, and Tanzania. It shows that first, self-employment tends to provide marginally lower average income (with the exception of Ghana and men in Rwanda) and much higher variability in income compared with wage work. Women on average earn less than men when they are self-employed and in wage employment, but also have less volatile earnings. The analysis uses quantile decomposition methods and finds that the differences in observable choices and endowments explain the gender gap in earnings for the self-employed who earn the least while the gap for the most successful male and female entrepreneurs is largely driven by differences in returns to observable covariates in the majority of the countries. These results suggest a glass ceiling effect, wherein a large portion of the income gaps between high-earning men and women cannot be explained by observable characteristics. The paper concludes by looking at the variables that account for a larger portion of the gender gap explained by observable characteristics and finds that hours of work and industry explain a higher fraction compared with standard human capital and demographic factors such as age and education.