Alvi, Muzna Fatima

Gupta, Shweta

Meinzen-Dick, Ruth Suseela

Barooah, Prapti

Ringler, Claudia

Ensuring privacy of respondents in phone surveys is especially challenging compared to face-to-face interviews. While the use of phone surveys has become more common in development research, there is little information on how the conduct of phone surveys affects responses. Using phone survey data from India and Nepal, we test the impact of speakerphone use on bias in responses by women and men. We find that 65% of women respondents in India, and 61% of women and 59% of men respondents in Nepal had their phone on speaker during the survey. Speakerphone use is lower when women are matched with the same enumerators in the second round. Speaker use was associated with lower reported agency by women over their own income and the income of their spouse, while it is opposite for men. Our findings have important implication for the collection, design, and analysis of phone survey data.

Hello, can you hear me? Impact of speakerphones on phone survey responses

As there are no proper medical tests available to predict certain diseases such as Alzheimer’s and Parkinson’s at an early stage, there is a need to further study and consider the potential uses of bio- and nature-inspired algorithms and future technologies such as machine learning in correlation to disease detection and treatment. Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies considers new tools for early detection of cognitive brain diseases using devices and algorithms whose basic concept is taken from nature and discusses design, analysis, and application of various bionics or bio-inspired algorithms. Covering topics such as depression and cognitive science, this publication is an ideal resource for researchers, academicians, industry professionals, psychologists, psychiatrists, nurses, engineers, instructors, and students.

Bio-Inspired Algorithms and Devices for Treatment of Cognitive Diseases Using Future Technologies

To understand the impact of COVID-19 on rural women, we designed a longitudinal panel study collecting five rounds of phone survey data with data drawn from a representative face-to-face survey in rural Senegal covering Fatick, Kaffrine, Kaolack, Kedougou, Kolda, Matam, Saint-Louis, Sedhiou, Tambacounda, and Ziguinchor regions. Due to low survey coverage of females in the first round, the second and third rounds surveyed both spouses and then randomly picked one male or female respondent per household to include in the study. For comparability we focus on findings from rounds 2-5. Figure 1 provides a detailed description of the study timeline and sample size covered in each round.

Assessing the impact of COVID-19 on rural women and men in Senegal

Ghosh, Ranjan Kumar

Singh, Vartika

Ward, Patrick S.

Researchers and policymakers have long understood the benefits of crop insurance but have been consistently disappointed by the poor performance of these programs. Rarely have programs seen sizeable take-up rates without support through large government subsidies, and in many countries, demand has been meager even at prices well below fair-market rates. Experiences from India have largely followed this trend, despite a number of large policy initiatives. Limited demand stems from low perceived value, arguably because the existing insurance products are unsuited to farmers’ needs. The present study fills an important gap in rural development by improving upon existing insurance policy design by incorporating product characteristics better suited to farmers’ preferences. To do so, we conducted a discrete choice experiment with agricultural households in four states in India. While farmers seem to like several of the features of policies offered under existing programs, our results suggest they would generally be willing to pay more than the highly subsidized rate they currently pay and are also clearly dissatisfied with delayed and uncertain indemnity payments and would be willing to pay a significant premium for more assured and timely payment delivery.

Gupta, Shweta

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