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Measuring the poverty and distributional impact of the global crisis for developing countries is not easy, given the multiple channels of impact and the limited availability of real-time data. Commonly-used approaches are of limited use in addressing questions like who are being affected by the crisis and by how much, and who are vulnerable to falling into poverty if the crisis deepens? This paper develops a simple micro-simulation method, modifying models from existing economic literature, to measure the poverty and distributional impact of macroeconomic shocks by linking macro projections with pre-crisis household data. The approach is then applied to Bangladesh to assess the potential impact of the slowdown on poverty and income distribution across different groups and regions. A validation exercise using past data from Bangladesh finds that the model generates projections that compare well with actual estimates from household data. The results can inform the design of crisis monitoring tools and policies in Bangladesh, and also illustrate the kind of analysis that is possible in other developing countries with similar data availability.

Achieving Shared Growth --- Counterfactual --- Distributional effects --- Economic Theory & Research --- Employment status --- Global markets --- Household heads --- Household income --- Household survey --- Impact on poverty --- Income --- Income distribution --- Income poverty --- Inequality --- Macroeconomic shocks --- Macroeconomics and Economic Growth --- Poor --- Poor rural households --- Poverty line --- Poverty rates --- Poverty Reduction --- Regional Economic Development --- Rural --- Rural areas --- Rural Poverty Reduction

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Measuring the poverty and distributional impact of the global crisis for developing countries is not easy, given the multiple channels of impact and the limited availability of real-time data. Commonly-used approaches are of limited use in addressing questions like who are being affected by the crisis and by how much, and who are vulnerable to falling into poverty if the crisis deepens? This paper develops a simple micro-simulation method, modifying models from existing economic literature, to measure the poverty and distributional impact of macroeconomic shocks by linking macro projections with pre-crisis household data. The approach is then applied to Bangladesh to assess the potential impact of the slowdown on poverty and income distribution across different groups and regions. A validation exercise using past data from Bangladesh finds that the model generates projections that compare well with actual estimates from household data. The results can inform the design of crisis monitoring tools and policies in Bangladesh, and also illustrate the kind of analysis that is possible in other developing countries with similar data availability.

Achieving Shared Growth --- Counterfactual --- Distributional effects --- Economic Theory & Research --- Employment status --- Global markets --- Household heads --- Household income --- Household survey --- Impact on poverty --- Income --- Income distribution --- Income poverty --- Inequality --- Macroeconomic shocks --- Macroeconomics and Economic Growth --- Poor --- Poor rural households --- Poverty line --- Poverty rates --- Poverty Reduction --- Regional Economic Development --- Rural --- Rural areas --- Rural Poverty Reduction

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Family demography --- Fertility, Human --- Parenthood. --- Parenthood --- Family Characteristics --- Parents --- Fertility --- #SBIB:314H233 --- #SBIB:314H240 --- #SBIB:316.356.2H3621 --- Below Replacement Fertility --- Differential Fertility --- Fecundability --- Fertility Determinants --- Fertility Incentives --- Fertility Preferences --- Fertility, Below Replacement --- Marital Fertility --- Natural Fertility --- Subfecundity --- World Fertility Survey --- Fecundity --- Determinant, Fertility --- Determinants, Fertility --- Fertility Determinant --- Fertility Incentive --- Fertility Preference --- Fertility Survey, World --- Fertility Surveys, World --- Fertility, Differential --- Fertility, Marital --- Fertility, Natural --- Preference, Fertility --- Preferences, Fertility --- Survey, World Fertility --- Surveys, World Fertility --- World Fertility Surveys --- Parental Age --- Parenthood Status --- Stepparent --- Step-Parents --- Age, Parental --- Ages, Parental --- Parent --- Parental Ages --- Status, Parenthood --- Step Parents --- Step-Parent --- Stepparents --- Parental Consent --- Parental Notification --- Couples --- Family Demography --- Family Life Surveys --- Family Size, Average --- Family Size, Completed --- Family Size, Desired --- Family Size, Expected --- Family Size, Ideal --- Family and Household --- Generations --- Head of Household --- Households --- Matriarchy --- One-Person Household --- Patriarchy --- Family Size --- Average Family Size --- Average Family Sizes --- Characteristic, Family --- Characteristics, Family --- Completed Family Size --- Completed Family Sizes --- Demographies, Family --- Demography, Family --- Desired Family Size --- Desired Family Sizes --- Expected Family Size --- Expected Family Sizes --- Family Characteristic --- Family Demographies --- Family Life Survey --- Family Sizes --- Family Sizes, Average --- Family Sizes, Completed --- Family Sizes, Desired --- Family Sizes, Expected --- Family Sizes, Ideal --- Household --- Household Head --- Household Heads --- Household and Family --- Household, One-Person --- Households, One-Person --- Ideal Family Size --- Ideal Family Sizes --- Life Survey, Family --- Life Surveys, Family --- Matriarchies --- One Person Household --- One-Person Households --- Patriarchies --- Survey, Family Life --- Surveys, Family Life --- Families --- Demography --- Geboorteregeling --- Nuptialiteit en gezin --- Gezinssociologie: vruchtbaarheid: Westers maatschappijen --- Research --- United States --- Population --- Socioeconomic aspects

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This paper reviews both current practices and common challenges of measuring the causes, functioning, and consequences of violent conflict at the micro-level. The authors review existing conflict- and violence-related survey questionnaires, with a particular focus on the World Bank's Living Standard Measurement Surveys. Further, they discuss methodological challenges associated with empirical work in conflict-affected areas-such as operationalizing a definition of conflict, using the appropriate units of analysis, deciding on the timing of the survey, dealing with data biases and conducting surveys in an ethically sound manner-and propose ways to improve the usefulness of existing surveys to analyze conflict processes at the micro-level. Violent conflict, households, survey methods, questionnaire design.

Abuse. --- Access to Markets. --- Access to Services. --- Armed Conflict. --- Atrocities. --- Basic Needs. --- Bombing. --- Causes of Displacement. --- Child Mortality. --- Civil War. --- Civilian Populations. --- Combatants. --- Conflict and Development. --- Conflict Research. --- Conflict Resolution. --- Conflict. --- Conflicts. --- Constraints. --- Consultant. --- Contract. --- Crises. --- Death. --- Demobilization. --- Democracy. --- Developing Countries. --- Disarmament. --- Economic Development. --- Economic Growth. --- Economies. --- Ethnic Group. --- Evelopment Aid. --- Evelopment Policy. --- Ex-Combatant. --- Excess Mortality. --- Exposure to Violence. --- Extreme Poverty. --- Fertility. --- Fighting. --- Food Consumption. --- Food Policy. --- Foundations. --- Genocide. --- Guerrilla. --- Health Problems. --- Health, Nutrition and Population. --- Household Emographics. --- Household Heads. --- Household Survey. --- Household Welfare. --- Human Capital. --- Human Welfare. --- Hunger Insurance. --- Illness. --- Impact of Conflict. --- Impact of Shocks. --- Income. --- Inequality. --- Insurance. --- International Bank. --- International Committee. --- International Cooperation. --- Knowledge. --- Labor Market. --- Labor Supply. --- Lack of Infrastructure. --- Life Events. --- Living Standards. --- Local Conflict. --- Malnutrition. --- Measures. --- Migration. --- Military Service. --- Mortality Levels. --- Mortality. --- Nations. --- Needs Assessments. --- Negotiations. --- Number of Deaths. --- Nutrition. --- Observer. --- Peace Research. --- Peace. --- Peacebuilding. --- Peacekeeping. --- Polarization. --- Policy Iscussions. --- Policy Makers. --- Policy Research Working Paper. --- Policy Research. --- Policy. --- Political Constraints. --- Political Instability. --- Political Participation. --- Political Violence. --- Politics. --- Poor Households. --- Poor. --- Population Fund. --- Population Groups. --- Population Policies. --- Population. --- Post Conflict Reconstruction. --- Post-Conflict Reconstruction. --- Poverty Dynamics. --- Poverty Estimates. --- Poverty Reduction. --- Poverty. --- Primary School. --- Progress. --- Publications. --- Rape. --- Rebel. --- Reconstruction. --- Refugee Camps. --- Refugee. --- Revolutions. --- Right-Wing. --- Risks. --- Roads. --- Rural Households. --- Rural Poverty Reduction. --- Rural Roads. --- Rural. --- Sexual Abuse. --- Social Action. --- Social Conflict and Violence. --- Social Development. --- Social Science. --- Social Security. --- Soldiers. --- Substance Abuse. --- Terrorism. --- Training. --- Transfers. --- Trauma. --- Trust. --- Unemployment. --- United Nations Population Fund. --- University. --- Victims. --- Village Leaders. --- Violence. --- Violent Conflict. --- Violent Experiences. --- Vulnerability. --- Vulnerable Groups. --- War. --- Warfare. --- World Evelopment.

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Child. --- Infant. --- Chronic Disease. --- Cystic Fibrosis. --- Family Characteristics. --- Chronically ill children --- -Cystic fibrosis in children --- -Parent and child --- #SBIB:316.334.3M40 --- Child and parent --- Children and parents --- Parent-child relations --- Parents and children --- Children and adults --- Interpersonal relations --- Parental alienation syndrome --- Sandwich generation --- Children --- Chronic diseases in children --- Sick children --- Couples --- Family Demography --- Family Life Surveys --- Family Size, Average --- Family Size, Completed --- Family Size, Desired --- Family Size, Expected --- Family Size, Ideal --- Family and Household --- Generations --- Head of Household --- Households --- Matriarchy --- One-Person Household --- Patriarchy --- Family Size --- Average Family Size --- Average Family Sizes --- Characteristic, Family --- Characteristics, Family --- Completed Family Size --- Completed Family Sizes --- Demographies, Family --- Demography, Family --- Desired Family Size --- Desired Family Sizes --- Expected Family Size --- Expected Family Sizes --- Family Characteristic --- Family Demographies --- Family Life Survey --- Family Sizes --- Family Sizes, Average --- Family Sizes, Completed --- Family Sizes, Desired --- Family Sizes, Expected --- Family Sizes, Ideal --- Household --- Household Head --- Household Heads --- Household and Family --- Household, One-Person --- Households, One-Person --- Ideal Family Size --- Ideal Family Sizes --- Life Survey, Family --- Life Surveys, Family --- Matriarchies --- One Person Household --- One-Person Households --- Patriarchies --- Survey, Family Life --- Surveys, Family Life --- Cystic Fibrosis of Pancreas --- Fibrocystic Disease of Pancreas --- Pancreatic Cystic Fibrosis --- Pulmonary Cystic Fibrosis --- Mucoviscidosis --- Cystic Fibrosis, Pancreatic --- Cystic Fibrosis, Pulmonary --- Fibrosis, Cystic --- Pancreas Fibrocystic Disease --- Pancreas Fibrocystic Diseases --- Sweating --- Chronically Ill --- Chronic Illness --- Chronic Diseases --- Chronic Illnesses --- Disease, Chronic --- Diseases, Chronic --- Illness, Chronic --- Illnesses, Chronic --- Pain Management --- Infants --- Minors --- Family relationships --- Psychological aspects --- Social aspects --- Medische sociologie: zorgenverstrekkers, relatie met hulpvragers --- Diseases --- Patients --- Cystic fibrosis in children --- Parent and child --- Child --- Chronic Disease --- Cystic Fibrosis --- Family Characteristics --- Infant