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AbstractInvestigations into changes in household formations across lower‐ and middle‐income countries (LMICs) rarely consider skip‐generation households. Yet, demographic, social, and economic forces increasingly encourage skip‐generation household formations. We examine trends and changes in the prevalence of skip‐generation households from 1990 to 2016, examining households, adults aged 60+, and children under 15, across 49 countries using household roster data from Demographic and Health Surveys. Analysis takes place in stages, first describing trends in skip‐generation households across countries and next providing explanatory analyses using multilevel modeling to assess whether, and the degree to which, country‐level characteristics like AIDS mortality and female labor force participation explain trends in the probability that a household is, or that an individual resides in, a skip‐generation household. Results indicate extensive increases in skip‐generation households in many LMICs, although there is also variation. The increases and variations are not well‐explained by the country‐level characteristics in our models, suggesting other underlying reasons for the rise and prominence of skip‐generation households across LMICs.

AbstractMeasuring abortion incidence and prevalence is often difficult because of under‐reporting and other biases, complicated research designs, and other issues. Recently, family planning researchers have introduced a new method called the list experiment, adopted from political science and economics, to measure abortion. Three completed studies and at least four studies currently underway use this method to measure abortion in several countries. We discuss the lessons learned from completed studies, when the list experiment may and may not be appropriate, and open questions regarding the use of the list experiment for abortion research. This method has the potential to improve measures of abortion prevalence and incidence, which could translate to better‐informed interventions to increase abortion access and reduce unmet need for family planning. Future research should further clarify the advantages and limitations of the list experiment for measuring abortion.

This report examines the opportunities and challenges associated with the adoption of computer-assisted interviewing (CAI) technology for data collection in household surveys in the Indian context, following a recent large-scale test of CAI in the southern Indian state of Tamil Nadu. The issues identified are highly relevant to the Government of Tamil Nadu's (GOTN) ongoing work to convert state survey data collection operations to CAI. These issues are also more generally informative to the shift from paper-based questionnaire instruments to CAI technology for state governments throughout India. The Survey Research Center (SRC) at the University of Michigan has worked closely with a Tamil Nadu state government agency—the Department of Economics and Statistics—that is at the center of this shift to CAI. Based on this experience, and our background running major CAI surveys in the U.S., Nepal, China, and elsewhere, this report provides some broader context about CAI, key features to consider in the selection of CAI software platforms, issues in the management of CAI operations, and related topics. This report was prepared by SRC independently of GOTN, but in service of the GOTN's work to expand CAI data collection. ; World Bank ; http://deepblue.lib.umich.edu/bitstream/2027.42/171096/1/WB Report Transition to CAPI FINAL 2021-02-27.pdf ; Description of WB Report Transition to CAPI FINAL 2021-02-27.pdf : Technical Report ; SELF

A new introduction to a timeless dynamic: how the movement of humans affects health everywhere. International migrants compose more than three percent of the world's population, and internal migrants—those migrating within countries—are more than triple that number. Population migration has long been, and remains today, one of the central demographic shifts shaping the world around us. The world's history—and its health—is shaped and colored by stories of migration patterns, the policies and political events that drive these movements, and narratives of individual migrants. Migration and Health offers the most expansive framework to date for understanding and reckoning with human migration's implications for public health and its determinants. It interrogates this complex relationship by considering not only the welfare of migrants, but also that of the source, destination, and ensuing-generation populations. The result is an elevated, interdisciplinary resource for understanding what is known—and the considerable territory of what is not known—at an intersection that promises to grow in importance and influence as the century unfolds