This study analyzes longitudinal data from couples in rural Nepal to investigate the influence of spousal communication about family planning on their subsequent contraceptive use. The study expands current understanding of the communication–contraception link by (a) exploiting monthly panel data to conduct an event history analysis, (b) incorporating both wives’ and husbands’ perceptions of communication, and (c) distinguishing effects of spousal communication on the use of four contraceptive methods. The findings provide new evidence of a strong positive impact of spousal communication on contraceptive use, even when controlling for confounding variables. Wives’ reports of communication are substantial explanatory factors in couples’ initiation of all contraceptive methods examined. Husbands’ reports of communication predict couples’ subsequent use of male-controlled methods. This analysis advances our understanding of how marital dynamics—as well as husbands’ perceptions of these dynamics—influence fertility behavior, and should encourage policies to promote greater integration of men into family planning programs.

To address declining response rates and rising data-collection costs, survey methodologists have devised new techniques for using process data ("paradata") to address nonresponse by altering the survey design dynamically during data collection. We investigate the substantive consequences of responsive survey design-tools that use paradata to improve the representative qualities of surveys and control costs. By improving representation of reluctant respondents, responsive design can change our understanding of the topic being studied. Using the National Survey of Family Growth Cycle 6, we illustrate how responsive survey design can shape both demographic estimates and models of demographic behaviors based on survey data. By juxtaposing measures from regular and responsive data collection phases, we document how special efforts to interview reluctant respondents may affect demographic estimates. Results demonstrate the potential of responsive survey design to change the quality of demographic research based on survey data.

We examine the influence of community context on change over time in households’ use of non-wood fuels. Our theoretical framework builds on sociological concepts in order to study energy consumption at the micro-level. The framework emphasizes the importance of nonfamily organizations and services in the local community as determinants of the transition from use of fuelwood to use of alternative fuels. We use multilevel longitudinal data on household fuel choice and community context from rural Nepal to provide empirical tests of our theoretical model. Results reveal that increased exposure to nonfamily organizations in the local community increases the use of alternative fuels. The findings illustrate key features of human impacts on the local environment and motivate greater incorporation of social organization into research on environmental change.