Michel Guillot

Classes:
Soc 360 Statistics for Sociologists I
Off campus
mguillot@ssc.wisc.edu
Curriculum Vitae
Selected Publications:
Guillot, Michel. 2003. "The Cross-sectional Average Length of Life (CAL): A Cross-sectional Mortality Measure that Reflects the Experience of Cohorts," Population Studies, Vol.57(1):41-54.
Murray, Christopher J.L., B.D. Ferguson, A.D. Lopez, M. Guillot, J.A. Salomon and O. Ahmad. 2003. "Modified Logit Life Table System: Principles, Empirical Validation and Application," Population Studies 57(2):1-18.
Heuveline, Patrick, Michel Guillot and Davidson R. Gwatkin. 2002. "The Uneven Tides of the Health Transition: An International Comparison of Mortality Patterns and National Income Levels," Social Science and Medicine, Vol.55(2): 313-22.
Guillot, Michel. 2002. "The Dynamics of the Population Sex Ratio in India, 1971-96," Population Studies, Vol. 56(1):51-63.
Education:
Ph.D., Demography & Sociology, University of Pennsylvania, 2000
Areas of Interest:
Class Analysis and Historical Change
Demography
Methods and Statistics
Affiliations:
Center for Demography and Ecology
Center for Demography of Health and Aging
Center for Russian, East Europe, and Central Asia
Population Health Sciences
Sociology
Research Interest Statement:
Michel Guillot’s research focuses on mortality and formal demography. During the past three years, he has completed work on tempo effects in mortality, demographic measurement, and mortality dynamics in developing countries, in particular in former Soviet Central Asia. In the area of demographic measurement, Guillot has also developed a new method for estimating health expectancies in the absence of longitudinal data. In his work in former Soviet Central Asia, Guillot finds that adult mortality in Kyrgyzstan is lower than in Russia (a much richer country), in part because of cultural differences related to alcohol consumption. More generally, he finds that the post-Soviet health crisis in Kyrgyzstan is fundamentally different from the nature of the crisis in Russia. These findings have health policy implications in countries of the former USSR.