Publication:
Effects of Data Collection Methods on Estimated Household Consumption and Survey Costs: Evidence from an Experiment in the Marshall Islands

Loading...
Thumbnail Image
Files in English
English PDF (634.53 KB)
507 downloads
English Text (109.77 KB)
21 downloads
Published
2022-04-28
ISSN
Date
2022-04-29
Editor(s)
Abstract
In the Pacific, multitopic household surveys have historically gathered expenditure data using open form diaries completed on paper. This methodology is costly to governments, is burdensome for respondents, and takes substantial time to process the results. Noncompliance and partial compliance in diary keeping can artificially inflate poverty measures, biasing economic statistics. This paper reports findings from an experiment in the Marshall Islands comparing the cost and accuracy of several collection methodologies. Variable costs for the status quo diary survey design are between 2.8 and 4.4 times more expensive than a single-visit seven-day recall survey, with the tablet-based diary being even more costly. The highly monitored diaries give similar results to recall but at much greater cost; the status quo yields data of worse quality as effective completion rates with low monitored diaries are only two-thirds the completion rates of recall-based options. Finally, the paper discusses the implementation challenges associated with the different methods in a capacity-constrained environment.
Link to Data Set
Citation
Sharp, Michael K.; Buffière, Bertrand; Himelein, Kristen; Troubat, Nathalie; Gibson, John. 2022. Effects of Data Collection Methods on Estimated Household Consumption and Survey Costs: Evidence from an Experiment in the Marshall Islands. Policy Research Working Paper;10029. © World Bank. http://hdl.handle.net/10986/37356 License: CC BY 3.0 IGO.
Associated URLs
Associated content
Report Series
Report Series
Other publications in this report series
  • Publication
    The Macroeconomic Implications of Climate Change Impacts and Adaptation Options
    (Washington, DC: World Bank, 2025-05-29) Abalo, Kodzovi; Boehlert, Brent; Bui, Thanh; Burns, Andrew; Castillo, Diego; Chewpreecha, Unnada; Haider, Alexander; Hallegatte, Stephane; Jooste, Charl; McIsaac, Florent; Ruberl, Heather; Smet, Kim; Strzepek, Ken
    Estimating the macroeconomic implications of climate change impacts and adaptation options is a topic of intense research. This paper presents a framework in the World Bank's macrostructural model to assess climate-related damages. This approach has been used in many Country Climate and Development Reports, a World Bank diagnostic that identifies priorities to ensure continued development in spite of climate change and climate policy objectives. The methodology captures a set of impact channels through which climate change affects the economy by (1) connecting a set of biophysical models to the macroeconomic model and (2) exploring a set of development and climate scenarios. The paper summarizes the results for five countries, highlighting the sources and magnitudes of their vulnerability --- with estimated gross domestic product losses in 2050 exceeding 10 percent of gross domestic product in some countries and scenarios, although only a small set of impact channels is included. The paper also presents estimates of the macroeconomic gains from sector-level adaptation interventions, considering their upfront costs and avoided climate impacts and finding significant net gross domestic product gains from adaptation opportunities identified in the Country Climate and Development Reports. Finally, the paper discusses the limits of current modeling approaches, and their complementarity with empirical approaches based on historical data series. The integrated modeling approach proposed in this paper can inform policymakers as they make proactive decisions on climate change adaptation and resilience.
  • Publication
    South Africa’s Fragmented Cities: The Unequal Burden of Labor Market Frictions
    (Washington, DC: World Bank, 2026-01-08) Baez, Javier E.; Kshirsagar, Varun
    Using high-resolution administrative, census, and satellite data, this paper shows that South African cities are characterized by spatial mismatches between where people live and where jobs are located, relative to 20 global peers. Areas within 5 kilometers of commercial centers have 9,300 fewer residents per square kilometer than expected, which is 60 percent below the global median. Poor, dense neighborhoods are most affected. In Johannesburg, a 10-percentile increase in distance from the nearest business hub corresponds to a 3.7-percentile drop in asset wealth (a proxy of household wellbeing) and 4.9-percentile drop in employment. In Cape Town, the declines are 4.0 and 3.7 percentiles, respectively. Employment is 87 percent lower in the poorest decile than the richest in Johannesburg and 61 percent lower in Cape Town. These findings suggest that South Africa’s spatial organization of people and economic activity constrains agglomeration and reinforces inequality. This methodology provides a scalable and standardized data-driven framework to analyze spatial accessibility and agglomeration frictions in complex, data-constrained urban systems.
  • Publication
    The Evolution of Local Participatory Democracy in Nepal
    (Washington, DC: World Bank, 2025-11-05) Bhusal, Thaneshwar; Breen, Michael G; Rao, Vijayendra
    Nepal is, according to its constitution, among the world’s most decentralized countries, with a long and complex tradition of local-level public participation. This paper traces the evolution of Nepal’s modern participatory institutions, examining the extent to which they are “induced” by external interventions versus being “organically” rooted in indigenous practices. The paper identifies three broad phases: an initial focus on participation in project implementation; a subsequent phase that expanded citizen engagement; and a third phase of citizen empowerment, culminating in the 2015 federal constitution, which granted unprecedented local autonomy. The analysis yields five key findings. First, over the past 50 years, successive reforms have progressively expanded opportunities for citizens to influence local decision-making. Second, these reforms have integrated traditional participatory mechanisms into formal institutions of local government. Third, although central-level initiatives exist, most participatory platforms continue to operate at the local level. Fourth, the federal constitution has created a new landscape of local democracy, embedding autonomy and accountability. Fifth, although they are still valued in many ethnic and territorial communities, traditional participatory practices are gradually disappearing. The paper concludes by offering policy recommendations to help donor agencies and governments strengthen Nepal’s democratic trajectory. It argues that effective interventions should build on Nepal’s deep participatory traditions while recognizing the constitutional reality of far-reaching local autonomy.
  • Publication
    Institutional Capacity for Policy Implementation: An Analytical Framework
    (Washington, DC: World Bank, 2026-01-07) Kim, Galileu; Kumar, Tanu; Ramalho, Rita; Russell, Stuart
    State capacity is an important prerequisite for policy implementation, yet at the country level it is difficult to measure, assess, and reform. This paper proposes a focus on institutional capacity: the ability of public institutions to implement the specific policy mandates for which they are responsible. Based on a review of existing literature, the paper defines the different dimensions that compose institutional capacity and groups them into two cross-cutting categories: organizational dimensions (personnel, financial resources, information systems, and management practices) and governance dimensions (transparency, independence, and accountability). The paper proposes measures for organizational and governance dimensions using existing data, shows intra-institutional variation of these measures within countries, and discusses how new data could be collected for better measurement of these concepts. Finally, the paper illustrates how the framework can be used to diagnose the sources of common problems related to weak policy implementation.
  • Publication
    Closing the Gender Gap in Entrepreneurship: Overcoming Challenges in Law and Practice for Female Entrepreneurs
    (Washington, DC: World Bank, 2026-01-07) Behr, Daniela M.; Xi, Yue
    Despite significant strides toward gender equality, women around the world continue to encounter systemic obstacles that hinder their entrepreneurial success. This paper systematically reviews the literature on the barriers female entrepreneurs face and the solutions proposed to overcome these challenges. It discusses institutional factors, financial factors, human capital factors, and social and cultural factors. The literature overview is complemented by a series of stylized facts that illustrate how overcoming some of these existing barriers is correlated with improved women’s entrepreneurship and female labor force participation, drawing on the World Bank’s Women, Business and the Law database as well as the World Bank’s Enterprise Surveys. The findings underscore the need for creating an enabling environment where women can thrive as entrepreneurs.
Journal
Journal Volume
Journal Issue

Related items

Showing items related by metadata.

  • Publication
    Surveying Justice : A Practical Guide to Household Surveys
    (World Bank, Washington, DC, 2010-01) Himelein, Kristen; Menzies, Nicholas; Woolcock, Michael
    Though household surveys have long been an established part of development practice and regularly used to gather data on poverty incidence and the range of associated indicators, they have not yet become a common tool of justice reform practitioners. This guide aims to be a practical starting point for integrating justice work and household data collection, targeted both towards justice practitioners interested in survey design, as well as survey researchers interested in incorporating justice questions into their work. It provides guidance on designing a survey, suggested topics and questions, and ideas to facilitate a constructive engagement in discussions around justice in development practice. Household survey data can be beneficial to understanding justice questions as household surveys ordinarily cover a large, randomly selected cross-section of people - including the rich and poor, urban and rural dwellers - capturing a population's most common justice issues. Household survey questions commonly ask respondents about their most frequently experienced justice issues, issues when seeking redress, and knowledge and opinions of the law. Household surveys thus complement data collection techniques more familiar to justice practitioners (such as user surveys or sector assessments) that tend to focus on institutions of the justice sector and hence capture only the views of those who manage to access such institutions and privilege the perspectives of system incumbents. Household surveys have their limitations - not least significant cost, time and complexity implications. In addition, the standardized nature of surveys limits the type of information that can be gleaned and hence household surveys are generally most useful for gaining a picture of the "what" when it comes to justice issues, with complementary research methods often needed to properly understand the "why." Nevertheless, surveys can represent a useful starting point for engagement in a particular context, providing a snap shot of the justice landscape from which more detailed qualitative and quantitative studies can be undertaken.
  • Publication
    Interviewer Effects in Subjective Survey Questions
    (World Bank Group, Washington, DC, 2015-03) Himelein, Kristen
    There is an inherent tension between traditional norms and survey protocols for quantitative data collected in the developing world. Unexpected interactions between the interviewer and respondent can lead to interviewer effects in the data, particularly in the case of subjective or sensitive questions. This paper makes use of a unique data set available from Timor-Leste containing subjective and objective questions to study these effects. In addition to their age and gender, data were collected from the interviewers regarding their opinions on the subjective questions prior to fieldwork. Fixed effects and mixed effects logit models are used to examine the main effects and interactions between interviewer and respondent characteristics. More objective measures serve as a pseudo control group. The paper finds interviewer effects in the both subjective and objective data, but the magnitude is considerably stronger for subjective questions. The paper also finds that female respondents are more susceptible to influence based on the interviewer's beliefs. Despite methodological shortcomings, the study highlights the need to consider more fully the impact of traditional cultural norms when conducting quantitative surveys in the developing world on topics that are outside the standard objective questions.
  • Publication
    Estimating Poverty in the Absence of Consumption Data : The Case of Liberia
    (World Bank Group, Washington, DC, 2014-09) Graham, Errol; Dabalen, Andrew; Himelein, Kristen; Mungai, Rose
    In much of the developing world, the demand for high frequency quality household data for poverty monitoring and program design far outstrips the capacity of the statistics bureau to provide such data. In these environments, all available data sources must be leveraged. Most surveys, however, do not collect the detailed consumption data necessary to construct aggregates and poverty lines to measure poverty directly. This paper benefits from a shared listing exercise for two large-scale national household surveys conducted in Liberia in 2007 to explore alternative methodologies to estimate poverty indirectly. The first is an asset-based model that is commonly used in Demographic and Health Surveys. The second is a survey-to-survey imputation that makes use of small area estimation techniques. In addition to a standard base model, separate models are estimated for urban and rural areas and an expanded model that includes climatic variables. Special attention is paid to the inclusion of cell phones, with implications for other assets whose cost and availability may be changing rapidly. The results demonstrate substantial limitations with asset-based indexes, but also leave questions as to the accuracy and stability of imputation models.
  • Publication
    Using Mixed Methods in Monitoring and Evaluation : Experiences from International Development
    (2010-03-01) Bamberger, Michael; Rao, Vijayendra; Woolcock, Michael
    This paper provides an overview of the various ways in which mixing qualitative and quantitative methods could add value to monitoring and evaluating development projects. In particular it examines how qualitative methods could address some of the limitations of randomized trials and other quantitative impact evaluation methods; it also explores the importance of examining "process" in addition to "impact", distinguishing design from implementation failures, and the value of mixed methods in the real-time monitoring of projects. It concludes by suggesting topics for future research -- including the use of mixed methods in constructing counterfactuals, and in conducting reasonable evaluations within severe time and budget constraints.
  • Publication
    Second-Stage Sampling for Conflict Areas
    (World Bank, Washington, DC, 2016-03) Himelein, Kristen; Eckman, Stephanie; Murray, Siobhan; Bauer, Johannes
    The collection of survey data from war zones or other unstable security situations is vulnerable to error because conflict often limits the implementation options. Although there are elevated risks throughout the process, this paper focuses specifically on challenges to frame construction and sample selection. The paper uses simulations based on data from the Mogadishu High Frequency Survey Pilot to examine the implications of the choice of second-stage selection methodology on bias and variance. Among the other findings, the simulations show the bias introduced by a random walk design leads to the underestimation of the poverty headcount by more than 10 percent. The paper also discusses the experience of the authors in the time required and technical complexity of the associated back-office preparation work and weight calculations for each method. Finally, as the simulations assume perfect implementation of the design, the paper also discusses practicality, including the ease of implementation and options for remote verification, and outlines areas for future research and pilot testing.

Users also downloaded

Showing related downloaded files

  • Publication
    Global Economic Prospects, June 2025
    (Washington, DC: World Bank, 2025-06-10) World Bank
    The global economy is facing another substantial headwind, emanating largely from an increase in trade tensions and heightened global policy uncertainty. For emerging market and developing economies (EMDEs), the ability to boost job creation and reduce extreme poverty has declined. Key downside risks include a further escalation of trade barriers and continued policy uncertainty. These challenges are exacerbated by subdued foreign direct investment into EMDEs. Global cooperation is needed to restore a more stable international trade environment and scale up support for vulnerable countries grappling with conflict, debt burdens, and climate change. Domestic policy action is also critical to contain inflation risks and strengthen fiscal resilience. To accelerate job creation and long-term growth, structural reforms must focus on raising institutional quality, attracting private investment, and strengthening human capital and labor markets. Countries in fragile and conflict situations face daunting development challenges that will require tailored domestic policy reforms and well-coordinated multilateral support.
  • Publication
    Commodity Markets Outlook, October 2025
    (Washington, DC: World Bank, 2025-10-29) World Bank
    Commodity prices are expected to decline by about 7 percent overall this year, reflecting subdued global economic activity, elevated trade tensions and policy uncertainty, ample global supply of oil, and weather-related supply shocks. In 2026, commodity prices are forecast to fall by a further 7 percent, a fourth consecutive year of decline, as global growth remains sluggish and the oil market oversupplied. Energy price movements are envisaged to continue contributing to global disinflation in 2026. Metals and minerals prices are expected to remain stable in 2026, while agricultural prices are projected to edge down, primarily due to strong supply conditions. Precious metals prices are expected to rise another 5 percent, after a historically large, investment-driven rally of about 40 percent in 2025. Risks to the commodity price projections are tilted to the downside. Key downside risks include weaker-than-expected global growth, a longer-than-assumed period of economic policy uncertainty, and additional oversupply of oil. Upside risks include intensifying geopolitical tensions, the market impact of additional oil sanctions, supply reductions stemming from additional trade restrictions, unfavorable weather conditions, faster-than-expected rollout of new data centers. Commodity price volatility in recent years has revived interest in supply management via international commodity agreements. Historical experience, however, shows that the most effective policy is to promote diversification, innovation, transparency, and market-based pricing—measures that build lasting resilience to commodity price volatility.
  • Publication
    Global Economic Prospects, January 2025
    (Washington, DC: World Bank, 2025-01-16) World Bank
    Global growth is expected to hold steady at 2.7 percent in 2025-26. However, the global economy appears to be settling at a low growth rate that will be insufficient to foster sustained economic development—with the possibility of further headwinds from heightened policy uncertainty and adverse trade policy shifts, geopolitical tensions, persistent inflation, and climate-related natural disasters. Against this backdrop, emerging market and developing economies are set to enter the second quarter of the twenty-first century with per capita incomes on a trajectory that implies substantially slower catch-up toward advanced-economy living standards than they previously experienced. Without course corrections, most low-income countries are unlikely to graduate to middle-income status by the middle of the century. Policy action at both global and national levels is needed to foster a more favorable external environment, enhance macroeconomic stability, reduce structural constraints, address the effects of climate change, and thus accelerate long-term growth and development.
  • Publication
    Digital Progress and Trends Report 2023
    (Washington, DC: World Bank, 2024-03-05) World Bank
    Digitalization is the transformational opportunity of our time. The digital sector has become a powerhouse of innovation, economic growth, and job creation. Value added in the IT services sector grew at 8 percent annually during 2000–22, nearly twice as fast as the global economy. Employment growth in IT services reached 7 percent annually, six times higher than total employment growth. The diffusion and adoption of digital technologies are just as critical as their invention. Digital uptake has accelerated since the COVID-19 pandemic, with 1.5 billion new internet users added from 2018 to 2022. The share of firms investing in digital solutions around the world has more than doubled from 2020 to 2022. Low-income countries, vulnerable populations, and small firms, however, have been falling behind, while transformative digital innovations such as artificial intelligence (AI) have been accelerating in higher-income countries. Although more than 90 percent of the population in high-income countries was online in 2022, only one in four people in low-income countries used the internet, and the speed of their connection was typically only a small fraction of that in wealthier countries. As businesses in technologically advanced countries integrate generative AI into their products and services, less than half of the businesses in many low- and middle-income countries have an internet connection. The growing digital divide is exacerbating the poverty and productivity gaps between richer and poorer economies. The Digital Progress and Trends Report series will track global digitalization progress and highlight policy trends, debates, and implications for low- and middle-income countries. The series adds to the global efforts to study the progress and trends of digitalization in two main ways: · By compiling, curating, and analyzing data from diverse sources to present a comprehensive picture of digitalization in low- and middle-income countries, including in-depth analyses on understudied topics. · By developing insights on policy opportunities, challenges, and debates and reflecting the perspectives of various stakeholders and the World Bank’s operational experiences. This report, the first in the series, aims to inform evidence-based policy making and motivate action among internal and external audiences and stakeholders. The report will bring global attention to high-performing countries that have valuable experience to share as well as to areas where efforts will need to be redoubled.
  • Publication
    The Container Port Performance Index 2023
    (Washington, DC: World Bank, 2024-07-18) World Bank
    The Container Port Performance Index (CPPI) measures the time container ships spend in port, making it an important point of reference for stakeholders in the global economy. These stakeholders include port authorities and operators, national governments, supranational organizations, development agencies, and other public and private players in trade and logistics. The index highlights where vessel time in container ports could be improved. Streamlining these processes would benefit all parties involved, including shipping lines, national governments, and consumers. This fourth edition of the CPPI relies on data from 405 container ports with at least 24 container ship port calls in the calendar year 2023. As in earlier editions of the CPPI, the ranking employs two different methodological approaches: an administrative (technical) approach and a statistical approach (using matrix factorization). Combining these two approaches ensures that the overall ranking of container ports reflects actual port performance as closely as possible while also being statistically robust. The CPPI methodology assesses the sequential steps of a container ship port call. ‘Total port hours’ refers to the total time elapsed from the moment a ship arrives at the port until the vessel leaves the berth after completing its cargo operations. The CPPI uses time as an indicator because time is very important to shipping lines, ports, and the entire logistics chain. However, time, as captured by the CPPI, is not the only way to measure port efficiency, so it does not tell the entire story of a port’s performance. Factors that can influence the time vessels spend in ports can be location-specific and under the port’s control (endogenous) or external and beyond the control of the port (exogenous). The CPPI measures time spent in container ports, strictly based on quantitative data only, which do not reveal the underlying factors or root causes of extended port times. A detailed port-specific diagnostic would be required to assess the contribution of underlying factors to the time a vessel spends in port. A very low ranking or a significant change in ranking may warrant special attention, for which the World Bank generally recommends a detailed diagnostic.