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John Casterline

John Casterline

John Casterline

Robert T. Lazarus Professor in Population Studies Emeritus, Department of Sociology


614 247-2519

210 Townshend Hall
1885 Neil Avenue Mall
Columbus, Ohio

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Areas of Expertise

  • Population
  • Methodology
  • Family


  • Ph.D., University of Michigan, 1980

Social demography, quantitative methods. Current research focuses on fertility theory and methods, demographic transition in low-income societies, demography of sub-Saharan Africa and the Arab region, and social networks and demographic processes.

During a three-decade research career, I have investigated the causes and consequences of fertility decline in developing countries. The enormous decline – from six births to two births per woman on average – surely ranks among the most significant social changes of the past half century, transforming adult lives and childhood experience, and with major ramifications for the economic and social structure of societies. Relying primarily on survey data (some of it national, some localized), I directed multi-country multi-year projects on social diffusion models of fertility change, on unmet need for family planning, and on unwanted fertility (methods of estimation, consequences for parental and child well-being). In the mid-1990s, I began collaborative research on demographic change in the Arab region that has continued to the present, and during the same period I have examined fertility decline in sub-Saharan Africa, the last remaining high-fertility region on the globe. In the course of pursuing these topics, with local collaborators I have engaged in fieldwork in the Philippines, Bangladesh, Pakistan, Egypt, and Ghana. My current research agenda includes: sources of contemporary fertility decline (motives vs. means); the pace of fertility decline in sub-Saharan Africa; the decline in unwanted fertility during the past three decades (a public health success story); family change in the Arab region; the impact of demography on family and kinship processes (e.g. sibling relations); application of decision models to reproductive behavior.

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