Agriculture and Employment in creating and fostering pro poor growth in Central Africa (data)

It features the following series of variables: - the income share of the lowest 20%, - the total natural resources rents (% GDP), - agriculture, value added (annual % growth), - GDP growth (annual %), - Industry, value added (annual % growth), - the total population growth (annual % growth), - Rural population growth (annual %), - Urban population growth (annual %), - Services, value added (annual % growth) , - Domestic credit to private sector by banks (% of GDP), - Employment in agriculture (% of total employment) (modeled ILO estimate), - Employment in industry (% of total employment) (modeled ILO estimate), - Employment in service (% of total employment) (modeled ILO estimate), - Inflation, GDP deflator (annual %), - GINI index (World Bank estimate), - Gini (%), - Vast majority income (annual % growth).

Data are then treated in E-views to regress pro poor growth (measured by the income share held by the lowest 20% and by the vast majority income growth) with the value added of the primary (agriculture), the secondary (industry) and the tertiary (service) sectors; employment the both sectors, the natural resources rents and other control variables like GDP growth, inflation and inequality.