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August 2017

What do household surveys and project monitoring have in common?

Michael Wild's picture

For verification purposes Survey Solution's picture question allows to document the installation and their new owner.
The implementation and the monitoring of large infrastructure projects is always a challenge. This challenge is even more pronounced, when the beneficiaries are located at the grassroots level. In the case of the Myanmar national electrification project (NEP), the challenge was the implementation and monitoring of around 145,000 households, community centers and schools, which did not have proper access to electricity and are being newly equipped with solar panels under the first contract. The basic information to be collected and monitored include who receives which type of solar PV systems, when, and by which supplier, and whether the users have been satisfactory with the quality of the equipment and installation, etc. The project is expected to eventually benefit 1.2 million households and more than 10,000 villages over 6 years with new electricity services.

Survey Solutions is already well known for its capacity to deal with large scale household surveys with highly complex questionnaires. One of the main strengths of Survey Solutions is its flexibility in designing a questionnaire. Users can easily create complex survey questionnaires through the browser based interface without the use of any complex syntax. For most of the standard survey questionnaires, the provided basic functions are sufficient.

However, it also offers the possibility to modify the questionnaire beyond the basic capabilities, by using the C# programming language. This allows the users to create questionnaires for very specific, non-standard tasks.

#LACfeaturegraph blog contest winner: In Latin America, education is not closing the income gap

Joaquín Muñoz's picture
Also available in: Español | Portuguese

Editor’s Note: In May, the LAC Team for Statistical Development launched the #LACfeaturegraph blog contest, where participants were asked to use poverty, inequality or other welfare data from the LAC Equity Lab to come up with an original analysis and integrate it with a data visualization. We received numerous blog submissions and after carefully reading each blog, we have picked the winner. Here is the winning entry from Joaquín Muñoz from Chile.

Education has long been considered fundamental in paving a country’s road to development. It is an International Human Right, one of the eight Millennium Development Goals and seventeen Sustainable Development Goals, and a critical player in reducing poverty. Thus, government officials and development partners have renewed efforts to ensure access to primary and secondary education worldwide.

In Latin America and the Caribbean, a region that faces stark levels of inequality, educational programs have been designed and funded with the aim of guaranteeing equal opportunities to school access. For instance, while in 1990 primary school enrollment in the region was about 89.9 percent, by 2010 it had increased to 94.2 percent. In the same period, literacy rates progressed as well, increasing from 87.5 percent to 92.6 percent (The World Bank, 2017). Even though the difficulty of achieving universal access to education is daunting, the numbers show that the region is on the right track.

However, the figure below shows that even though there has been a significant increase in the total years of education between 2004 and 2014 among the region’s population, the top 60 percent and the bottom 40 percent have experienced unequal income gains. While both groups experienced an increase in years spent in school, the data suggest that the top 60 percent, which was already wealthier and longer-schooled, saw a greater increase in their median daily per capita income than the bottom 40 percent. This finding is consistent with other evidence that suggests that income returns to schooling differ across the wage distribution (Harmon, Oosterbeek and Walker, 2000).

Source: Author's graph using LAC Equity Lab tabulations of SEDLAC (CEDLAS and the World Bank).

Latest from the LSMS: New data from Tanzania and Nigeria, dynamics of wellbeing in Ethiopia & using non-standard units in data collection

Vini Vaid's picture

Message from Gero Carletto (Manager, LSMS)

It has been a busy few months for the LSMS team! Together with several Italian and African institutions, we recently launched the Partnership for Capacity Development in Household Surveys for Welfare Analysis. The initiative cements a long-term collaboration to train trainers from regional training institutions in Sub-Saharan Africa to harmonize survey data and promote the adoption of best practices in household surveys across the region (see below for more details). In addition, we have contributed to several international conferences and meetings, such as the Annual Bank Conference on Africa (featured below), where we witnessed the creative use of the data we helped collect and disseminate. Finally, LSMS was part of a documentary on the Public Broadcasting Service (PBS) called The Crowd & The Cloud. The fourth episode featured our very own Talip Kilic and the Uganda Bureau of Statistics, working hand in hand to produce household and farm-level panel data, which have been game changers in informing government policymaking and investment decisions, as well as in advancing the methodological frontier. We look forward to many more exciting quarters as we continue to work with our partners to improve the household survey landscape!

Using Non-Standard Units in Data Collection: The Latest in the LSMS Guidebook Series

Vini Vaid's picture
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Food consumption and agricultural production are two critical components for monitoring poverty and household well-being in low- and middle-income countries. Accurate measurement of both provides a better contextual understanding and contributes to more effective policy design.

At present, there is no standard methodology for collecting food quantities in national surveys. Often, respondents are required to estimate quantities in standard units (usually metric units), requiring respondents to convert into kilograms, for example, when many respondents are more comfortable reporting their food consumption and production using familiar “local” or “non-standard” units. But how many tomatoes are in one kilogram? How much does a local small tin or basket of maize flour weight? This conversion process is often an uncommon or abstract task for respondents and this added difficulty can introduce measurement error. Allowing respondents to report quantities directly in NSUs places less of a burden on respondents and may ultimately lead to better quality data by improving the accuracy of information provided.

This new Guidebook provides guidance for effectively including non-standard units (NSUs) into data-collection activities — from establishing the list of allowable NSUs to properly collecting conversion factors for the NSUs, with advice on how to incorporate all the components into data collection. An NSU-focused market survey is a critical part of preparing the conversion factors required for effectively using NSU data in analytical work. As such, the bulk of this Guidebook focuses on implementing the market survey and on calculating conversion factors to ensure the highest-quality data when using NSUs.

The Guidebook is the result of collaboration between the World Bank's Living Standards Measurement Study (LSMS) team, the Central Statistical Agency of Ethiopia, the National Bureau of Statistics in Nigeria, the National Statistics Office of Malawi, and the Uganda Bureau of Statistics.

For practical advice on household survey design, visit the LSMS Guidebooks page: http://go.worldbank.org/0ZOAP159L0

Supporting data for development: applications open for a new innovation fund

Haishan Fu's picture
Also available in: العربية | Français | 中文 | Español
Image credit: The Crowd and The Cloud


I’m pleased to announce that applications are now open for the second round of a new data innovation fund which was announced last month at the UN’s High Level Political Forum.

The fund will invest up to $2.5 million in Collaborative Data Innovations for Sustainable Development - ideas to improve the production, management and use of data in poor countries. This year the fund’s thematic areas are “Leave No One Behind” and the environment.

Details on eligibility, criteria and how to apply are here: bit.ly/wb-gpsdd-innovationfund-2017

The initiative is supported by the World Bank’s Trust Fund for Statistical Capacity Building (TFSCB) with financing from the United Kingdom’s Department for International Development (DFID), the Government of Korea and the Department of Foreign Affairs and Trade of Ireland. DFID is the largest contributor to the TFSCB.

Supporting statistics for development

Here in the World Bank’s Development Data group, we’re looking forward to working with the Global Partnership for Sustainable Development Data (GPSDD) again following a successful pilot round of innovation funding last year. But you might be asking - why is the World Bank’s Data team helping to run a data innovation fund?