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[null,"1.","Record Nr.",null,"UNINA9910958044503321"]
[null,null,"Titolo",null,"Knowing, when you don't know : : using microsimulation models to assess the poverty and distributional impacts of macroeconomic shocks / / edited by Ambar Narayan, Carolina Sanchez-Peramo"]
[null,null,"Pubbl/distr/stampa",null,"Washington, D.C. : , : World Bank, , c2011"]
[null,null,"ISBN",null,"9786613491848"]
[{"$nulls":4},"9781283491846"]
[{"$nulls":4},"1283491842"]
[{"$nulls":4},"9780821389546"]
[{"$nulls":4},"0821389548"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"pages cm"]
[null,null,"Collana",null,"World Bank studies"]
[null,null,"Disciplina",null,"339.4/6015195"]
[null,null,"Soggetti",null,"Depressions"]
[{"$nulls":4},"Poverty"]
[{"$nulls":4},"Economics"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,null,"Nota di bibliografia","Includes bibliographical references."]
[null,null,"Nota di contenuto",null,"Contents; List of Contributors; Acknowledgments; Foreword; 1. Assessing the Poverty and Distributional Impacts of the Financial Crisis with Microsimulations: An Overview of Country Studies; Financial Crisis and Its Impact on Poverty; Evaluating the Impact of the Crisis; The Methodology to Estimate Impacts Ex Ante; How the Approach Works; Defining the \"Impact\": Two Types of Countries; Simulating the Impact of Policy Changes; Caveats to the Approach; Results from Micro-Macro Simulations for Four Countries; Results for Type I Countries; Results for Type II Countries"]
[{"$nulls":4},"Simulating the Impact of Policy ResponsesConclusion; 2. On Economy-Wide Shocks, Models and Politics; When Are Second-Round and Systemic Effects a First-Order Concern?; Implications; When Can Information Affect Government Behavior?; Conclusion and a Note on the World Bank; 3. The Distributional Consequences of the Economic and Financial Crisis of 2008-09: A Comment; Backdrop to the Issue of Distributional Consequences; Thinking about the Problem; The Guts of the U.S. Story; Some Basic Generalizations; The Current Crisis in Perspective; Results of Quick Post Crisis Surveys"]
[{"$nulls":4},"Takeaway Observations of Relevance for Policy4. Stress Testing for the "]
[{"$nulls":4},"Poverty Impacts of the Next Crisis; Introduction; The Need for a Social Protection Assessment Program (SPAP); An Overview of the Workshop Papers and Presentations; An Assessment, and What's Missing; Conclusion; References; Figures; Figure 1.1: Scheme of the modeling process; Figure 1.2: Impacts in Type I and Type II countries; Figure 1.3: Percent change in sectoral employment between benchmark and crisis (2010); Figure 1.4: Percent change in household income between benchmark and crisis scenarios (2010)"]
[{"$nulls":4},"Figure 1.5: Percent change in poverty/inequality indicators between crisis and benchmarkFigure 1.6: Percent losses in income for the general population (left) and the crisis-vulnerable (right); Figure 1.7: Percentage of poor and crisis-vulnerable households in rural areas; Figure 1.8: Percentage of households with low-skilled heads; Figure 1.9: Growth incidence curves: percent change in income (relative to the benchmark) due to crisis; Figure 1.10: Transitions across deciles of per capita income (percent of households in each decile)"]
[{"$nulls":4},"Figure 1.11: Macroeconomic projections for Mexico (2008-09 are actual observations 2010-11 are forecasts); Figure 1.12: Growth incidence curve for Mexico (2008-09); Figure 1.13: Transitions across deciles in Mexico; Figure 1.14: Growth incidence curves for Mexico (2010-11); Figure 1.15: Transitions across deciles for the period 2010-11; Figure 2.1: The welfare impact of food price changes in the 1997 Indonesian crisis across households; Figure 2.2: The pattern of change in deposits, by size and ownership of deposits, in the lead up to the Argentine financial crisis"]
[{"$nulls":4},"Figure 3.1: The top percentile (1%) of U.S. income (incomes above US368,000 in 2008)"]
[null,null,null,"Sommario/riassunto","Economists have long sought to predict how macroeconomic shocks willaffect individual welfare. Macroeconomic data and forecasts are easilyavailable when crises strike. But policy action requires not onlyunderstanding the magnitude of a macro shock, but also identifyingwhich households or individuals are being hurt by (or benefit from) thecrisis.A popular solution is to extrapolate the welfare impact of a shockfrom the historical response of income or consumption poverty tochanges in output, by estimating an 'elasticity' of poverty togrowth. Although this method provides an estimate for the agg"]