Social dynamics of short term variability in key measures of household and community wellbeing in Bangladesh.

Thumbnail Image



Journal Title

Journal ISSN

Volume Title

Repository Usage Stats


Citation Stats

Attention Stats


High-frequency social data collection may facilitate improved recall, more inclusive reporting, and improved capture of intra-period variability. Although there are examples of small studies collecting particular variables at high frequency in the social science literature, to date there have been no significant efforts to collect a wide range of variables with high frequency. We have implemented the first such effort with a smartphone-based data collection approach, systematically varying the frequency of survey task and recall period, allowing the analysis of the relative merit of high-frequency data collection for different key variables in household surveys. This study of 480 farmers from northwestern Bangladesh over approximately one year of continuous data on key measures of household and community wellbeing could be particularly useful for the design and evaluation of development interventions and policies. While the data discussed here provide a snapshot of what is possible, we also highlight their strength for providing opportunities for interdisciplinary research in the household agricultural production, practices, seasonal hunger, etc., in a low-income agrarian society.





Published Version (Please cite this version)


Publication Info

Tamal, Md Ehsanul Haque, Andrew R Bell, Mary E Killilea and Patrick S Ward (2019). Social dynamics of short term variability in key measures of household and community wellbeing in Bangladesh. Scientific data, 6(1). p. 125. 10.1038/s41597-019-0128-0 Retrieved from

This is constructed from limited available data and may be imprecise. To cite this article, please review & use the official citation provided by the journal.



Patrick Ward

Assistant Professor of Environmental Economics and Policy at Duke Kunshan University

Patrick Ward is an assistant professor of environmental economics and policy in the Master of Environmental Policy (iMEP) program at Duke Kunshan University. Patrick's research focuses on the nexus between agricultural development and environmental sustainability, identifying and evaluating technological, institutional, and financial innovations to increase farm productivity and food security while minimizing deleterious effects on the environment and natural resource base. Prior to joining DKU, Patrick was a research fellow with the International Food Policy Research Institute (IFPRI), first in New Delhi, India (2012-2016) and then in Washington, DC (2016-2018). Patrick has extensive experience conducting research in South Asia (Bangladesh, India, Nepal, Pakistan), and has also led or contributed to research on agricultural or development issues in China, Malawi, and Kenya. His current research portfolio includes projects on agricultural risk management (including insurance and other financial products as well as stress-tolerant staple crop cultivars), soil fertility management and soil conservation, inclusive development of rural agricultural machinery markets, and water resource management. He is especially interested in how insights from behavioral economics and cognitive psychology can be used to inform policies and interventions to address environmental and natural resource management challenges.

Patrick holds a Ph.D. (2011) in Agricultural Economics with a specialization in International Development from Purdue University (USA).

Unless otherwise indicated, scholarly articles published by Duke faculty members are made available here with a CC-BY-NC (Creative Commons Attribution Non-Commercial) license, as enabled by the Duke Open Access Policy. If you wish to use the materials in ways not already permitted under CC-BY-NC, please consult the copyright owner. Other materials are made available here through the author’s grant of a non-exclusive license to make their work openly accessible.