Abstract: This paper addresses the potential effects of the Doha round of trade negotiations on poverty and income distribution in Brazil, using an applied general equilibrium (AGE) and micro-simulation model of Brazil tailored for income distribution and poverty analysis. Of particular importance is the fact that the representative household hypothesis is replaced by a detailed representation of households. The model distinguishes 10 different labor types and has 270 different household expenditure patterns. Income can originate from 41 different production activities (which produce 52 commodities), located in 27 different regions in the country. The AGE model communicates to a micro-simulation model that has 112,055 Brazilian households and 263,938 adults. Poverty and income distribution indices are computed over the entire sample of households and persons, before and after the policy shocks. Model results show that even important trade policy shocks, such as those applied in this study, do not generate dramatic changes in the structure of poverty and income distribution in the Brazilian economy. The simulated effects on poverty and income distribution are positive, but rather small. The benefits are concentrated in the poorest households.

This paper addresses the potential effects of the Doha round of trade negotiations on poverty and income distribution in Brazil, using an applied general equilibrium (AGE) and micro-simulation model of Brazil tailored for income distribution and poverty analysis. Of particular importance is the fact that the representative household hypothesis is replaced by a detailed representation of households. The model distinguishes 10 different labor types and has 270 different household expenditure patterns. Income can originate from 41 different production activities (which produce 52 commodities), located in 27 different regions in the country. The AGE model communicates to a micro-simulation model that has 112,055 Brazilian households and 263,938 adults. Poverty and income distribution indices are computed over the entire sample of households and persons, before and after the policy shocks. Model results show that even important trade policy shocks, such as those applied in this study, do not generate dramatic changes in the structure of poverty and income distribution in the Brazilian economy. The simulated effects on poverty and income distribution are positive, but rather small. The benefits are concentrated in the poorest households.

Over the medium time horizon, skill upgrading, differentials in sectoral technological progress, and migration of labor out of farming activities are some of the major structural adjustment factors shaping the evolution of an economy and its connected poverty trends. The main focus of the authors is understanding, for the case of Brazil, how a trade shock interacts with these structural forces and ascertaining whether it enhances or hinders medium-term poverty reduction. In particular, they consider the interactions between the migration of labor out of agriculture, a potentially important poverty reduction factor, and trade liberalization, which increases the price incentives to stay in agriculture. A recursive-dynamic computable general equilibrium model simulates Doha scenarios and compares them against a business as usual scenario. The authors estimate the poverty effects using a microsimulation model that primarily takes into account individuals' labor supply decisions. Their analysis shows that trade liberalization does contribute to structural poverty reduction. But unless increased productivity and stronger growth rates are attributed to trade reform, its contribution to medium-term poverty reduction is rather small.

In this study, we document the decline in income inequality and a convergence in consumption patterns in Brazilian states in a new database constructed from micro data from the national households’ survey. We adjust the state-Gini coefficients for spatial price differences using information on households’ rental prices available in the survey. In a panel regression framework, we find that labor income growth, formalization, and schooling contributed to the decline in inequality during 2004-14, but redistributive policies, such as Bolsa Família, have also played a positive role. Going forward, it will be important to phase out untargeted subsidies, such as public spending on tertiary education, and contain growth of public sector wages, to improve budgetary efficiency and protect gains in equality.

This book considers the debate surrounding the Doha Development Agenda (DDA) currently being negotiated under the auspices of the World Trade Organization (WTO), using fifteen country studies, coupled with the global analysis, to draw general conclusions about the poverty impacts of a prospective DDA.

Over the medium time horizon, skill upgrading, differentials in sectoral technological progress, and migration of labor out of farming activities are some of the major structural adjustment factors shaping the evolution of an economy and its connected poverty trends. The main focus of the authors is understanding, for the case of Brazil, how a trade shock interacts with these structural forces and ascertaining whether it enhances or hinders medium-term poverty reduction. In particular, they consider the interactions between the migration of labor out of agriculture, a potentially important poverty reduction factor, and trade liberalization, which increases the price incentives to stay in agriculture. A recursive-dynamic computable general equilibrium model simulates Doha scenarios and compares them against a business as usual scenario. The authors estimate the poverty effects using a microsimulation model that primarily takes into account individuals' labor supply decisions. Their analysis shows that trade liberalization does contribute to structural poverty reduction. But unless increased productivity and stronger growth rates are attributed to trade reform, its contribution to medium-term poverty reduction is rather small.