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Using panel data, this paper analyzes the impact of high inflation on household livelihoods in urban South Sudan. Based on a difference-in-difference approach, inflation is found to have a strong negative impact on urban poverty between 2015 and 2017, mainly driven by the increase of non-food prices. Food price inflation had a negative and statistically significant impact on girls' primary and secondary school attendance, while proximity to school is very important for girls' school attendance. Increases in food prices led to a decline in labor force participation, increasing unemployment among urban residents. Inflation is exacerbating food insecurity and hunger, particularly for the poorest households who are more vulnerable to hunger. Inflation has also negatively affected households' perceptions of welfare. These changes in welfare are mostly explained by the period of near hyper-inflation in 2017. Addressing high inflation must be at the center of efforts to reduce poverty and hunger to improve the welfare of the people of South Sudan.

Inflation (Finance) --- Sudan.

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Interviewer design effects occur when data collected by the same interviewer is more similar than data collected by different interviewers. Design effects inflate survey variance and reduce the precision of estimates. Using household survey data collected via computer assisted personal interviewing (CAPI) in Sudan this paper employs a two-level mixed effects regression model to identify interviewer design effects for key variables. The study finds mean interviewer design effect values of 7 with a maximum of 16, implying a significant loss of precision. Recommendations to mitigate interviewer design effects include simplifying questions, sound survey implementation practices, and utilizing multi-way cluster robust standard errors to account for both area and interviewer clustering during data analysis.

Household surveys.

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Good health and quality education are essential for economic growth and poverty reduction. Unfortunately, the quality of the education and health services provided in low-income countries is often low. Improving access and quality of education and health are key policy goals for Uganda. This paper builds on the Service Delivery Indicator study by further exploring issues related to the quality of service delivery in Uganda. The paper analyzes the quality of service from a poverty perspective, to contribute to the ongoing policy debate on the quality of service delivery in Uganda, especially in the education and health sectors. Combining data from the Service Delivery Indicator and the Uganda National Household Survey surveys, the paper shows a strong correlation between welfare and quality of service. The quality of service is lowest for those living in poor areas. This has implications for pupils' learning outcomes. Pupils in poor areas perform poorly on a standardized test covering English, numeracy, and nonverbal reasoning. Increased access to education was not accompanied by improvement in learning outcomes. Results from econometric analysis suggest that improvements in school facilities, improvements in the quality of teaching, and the knowledge base of teachers could bring substantial gains in student performance, particularly in poor communities. Despite the low quality they face, if the poor are more satisfied with the service, this has implications for demand for social accountability, as the poor often are not exposed to or ignore the standard of service to which they should refer.

Health --- Quality --- Service Delivery --- Welfare And Poverty

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The report is organized as follows. After a brief description of the analytical framing and methodology in section two, section three presents the history and demographics of the labor market in Sudan, focusing on indicators by gender and age across the three main sectors of employment: services, agriculture, and industry. Section four examines formal institutions: the institutional setting, service delivery, and laws and regulations as they relate to economic opportunities. Section five examines informal institutions, where the social norms and networks can be a barrier to women's and youth's full economic participation. Section six analyzes how the market is supporting or constraining economic activity, which includes a closer look at the labor market itself and access to assets. Section seven discusses how all of these aspects are considered when it comes to the household- and individual-level decision-making that directly affects women's and youth's accumulation of human capital, overall agency, and, ultimately, their economic opportunities. Section eight concludes with considerations for policy and action.

Agricultural Sector Economics --- Agriculture --- Gender --- Gender and Social Policy --- Inequality --- Labor Market --- Labor Policies --- Poverty Reduction --- Rural Development --- Rural Labor Markets --- Social Protections and Labor

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Household survey data are very useful for monitoring living conditions of citizens of any country. In developing countries, a lot of this data are collected through "traditional" face-to-face household surveys. Due to the remote and dispersed nature of many populations in developing countries, but also because of the complex nature of many survey questionnaires, collection of timely welfare data has often proved expensive and logistically challenging. Yet, there is a need for faster, cheaper to collect, lighter, more nimble data collection methods to address data gaps between big household surveys. The recent proliferation of mobile phone networks has opened new possibilities. By combining baseline data from a traditional household survey with subsequent interviews of selected respondents using mobile phones, this facilitates welfare monitoring and opinion polling almost real time. The purpose of this handbook is to contribute to the development of the new field of mobile phone data collection in developing countries. The handbook documents how this innovative approach to data collection works, its advantages and challenges. The handbook draws primarily from the authors' first-hand experiences with mobile phone surveys in Africa and also benefits from experiences elsewhere. It is intended to serve a diverse audience including those involved in collecting (representative) data using mobile phones, and those using data collected through this approach. For those who will be implementing a mobile phone panel survey, the different chapters guide them through every stage of the implementation process. For potential users of the data collected via mobile phone technology, the handbook presents a new approach to data collection which they can use for monitoring programs and facilitate almost real time decision-making. A further purpose of this book is to contribute to the debate regarding the advantages of the method as well as the challenges associated with it.

Telephone surveys --- Methodology. --- Developing countries.