Community and Household Sampling The study is designed to maximize use of existing data sets on poverty, governance and service provision. In countries with panel data at the household or community level, the sampling areas and households in the panel will be revisited to the fullest extent possible given limitations due to attrition (e.g. migration or deaths among panel households) and budget. The countries with panel data on which the study is building include Bangladesh, India (Andhra Pradesh), Malawi, Tanzania (Kagera) and Uganda. In the remaining countries, teams have selected a small number of communities through a comparative case study approach based on stratified random sampling. Each country case is stratified by growth and one other policy variable of relevance. 
| Community timeline activity with key informants in Bolpur, West Bengal, India |
Policy Focus Each country study explores one or two key policy issues that shape the dynamics of mobility in their country. Some examples of the policy focus which the Moving Out of Poverty country studies are exploring include how mobility is affected by: inequality, access to infrastructure, agricultural modernization, social networks, and migration. In addition, a set of countries which have been affected by ongoing or recent conflict is looking at how conflict affects access to economic opportunities. A stratified sampling framework is then developed to guide the random selection of regions and communities that will capture variations on the dimension related to the policy focus (such as an index of access to roads, energy and active markets in the case of infrastructure) and on growth. The selection of households is designed to capture the four transition groups of interest to the study: those who move out of poverty, the never poor, the chronic poor, and the fallers. A total of 15-20 households will be visited per community, including a substantial number of households that have made the transition out of poverty. Data Collection Methods Overview The primary data collection tools are highlighted in the table below. They include household and community questionnaires, focus groups discussions, open ended individual life stories, and key informant interviews with policymakers and community leaders. The household survey gathers information on the household’s status now and ten years ago using four alternative poverty measures: expenditure data, household assets, food security, and self- assessments of current and previous status through a “Ladder of Life” ranking. The qualitative tools gather perceptions from focus groups and individuals on how and why people escape poverty, as well as how people maintain their wealth, fall down into poverty, or remain trapped in poverty. 
| Ladder of Life focus group discussion with men and women, pilot study, Lima, Peru |
| | Field Notes | Who has the most freedom? “The vegetable farmers are the people who have the most freedom because they dare to do. After they did it, they got results. There is very little risk. They do not suffer losses very often. Paddy farming is riskier because it is seasonal while vegetable farming can be done all the time.“ ― Mrs. Lampun – wage earner, 39 years, Ban Wang Po Tong, Thailand Who has the least freedom? “The laborers enjoy the least freedom. They do heavy work and still do not get paid fully. Nor do they get to eat or dress well. They are uneducated and don’t know anything, where, if someone tells them something, they start doing that only. The whole day they work and during the night they sleep and in the morning again go for labor work. They have the least freedom.” ― Hazari Lal, Male, Khutahan / Jaunpur, UP, India |
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