The author describes a specialized and less data-intensive version of the Integrated Macroeconomic Model for Poverty Analysis (IMMPA) developed by Agenor, Izquierdo, and Fofack (2003) and Agenor, Fernandes, Haddad, and van der Mensbrugghe (2002). The mini-IMMPA focuses only on the "real" side but it offers a more detailed treatment of the labor market (by accounting, for instance, for public education, employment subsidies, and job security provisions) and the tax structure. Simulations of a cut in payroll taxes on unskilled labor show the importance of accounting for the fiscal implications of labor market reforms when assessing their effects on unemployment and poverty.

Agenor describes a specialized and less data-intensive version of the Integrated Macroeconomic Model for Poverty Analysis (IMMPA) developed by Agenor, Izquierdo, and Fofack (2003) and Agenor, Fernandes, Haddad, and van der Mensbrugghe (2002). The mini-IMMPA focuses only on the real side but it offers a more detailed treatment of the labor market (by accounting, for instance, for public education, employment subsidies, and job security provisions) and the tax structure. Simulations of a cut in payroll taxes on unskilled labor show the importance of accounting for the fiscal implications of labor market reforms when assessing their effects on unemployment and poverty.This paper - a product of the Poverty Reduction and Economic Management Division, World Bank Institute - is part of a larger effort in the institute to analyze the interactions between micro and macro factors in the design of poverty reduction strategies.

Agénor, Izquierdo, and Fofack present a dynamic, quantitative macroeconomic framework designed for analyzing the impact of adjustment policies and exogenous shocks on poverty and income distribution. They emphasize the role of labor market segmentation, urban informal activities, the impact of the composition of public expenditure on supply and demand, and credit market imperfections. Numerical simulations for a prototype low-income country highlight the importance of accounting for the various channels through which poverty alleviation programs and debt relief may ultimately affect the poor. This paper--a product of the Poverty Reduction and Economic Management Division, World Bank Institute--is part of a larger effort in the institute to understand the impact of adjustment policies on the poor.

Agenor, Izquierdo, and Fofack present a dynamic, quantitative macroeconomic framework designed for analyzing the impact of adjustment policies and exogenous shocks on poverty and income distribution. They emphasize the role of labor market segmentation, urban informal activities, the impact of the composition of public expenditure on supply and demand, and credit market imperfections. Numerical simulations for a prototype low-income country highlight the importance of accounting for the various channels through which poverty alleviation programs and debt relief may ultimately affect the poor.This paper - a product of the Poverty Reduction and Economic Management Division, World Bank Institute - is part of a larger effort in the institute to understand the impact of adjustment policies on the poor.

Pierre-Richard Agenor's pioneering work on IntegratedMacroeconomics Models for Poverty Analysis (IMMPA) is cataloged forthe first time in this must-read volume. A class of dynamic computable general equilibrium models, IMMPAmodels are designed to analyze the impact of adjustment policies onunemployment and poverty in the developing world. Including bothpapers originally circulated through the World Bank, as well as newmaterial that places this important work in its larger context,Adjustment Policies, Poverty, and Unemployment details the historyand uses of these models to date, as well as pointing to futuredevelopments for their utilization.

"The importance of distributional issues in policymaking creates a need for empirical tools to assess the social impact of economic shocks and policies. This paper reviews some of the modeling approaches that are currently in use at the World Bank and other international financial institutions. The specification of these models is dictated by the issues at stake, the knowledge about the nature of the process involved, and the availability and reliability of relevant data. Furthermore, shocks and policies have macroeconomic, structural, and distributional implications. This creates interdependence between such policy issues. Finally, the distributional impact of shocks and policies hinges on the heterogeneity of socioeconomic agents with respect to endowments and behavior. In the end, each modeling approach should be judged on how well it handles the interdependence between policy issues and the heterogeneity of the stakeholders, given other constraints. " -- Cover verso.