SMALL AREA ESTIMATION
INSTRUCTOR
Partha Lahiri, PhD
Joint Program in Survey Methodology (JPSM) at the University of Maryland
DATE AND TIME
Tuesday, October 19, 2010, 1-3pm EST
ABSTRACT:
Direct survey estimates of various socio-economic, agriculture, and
health statistics for small geographic areas and small domains are
generally highly imprecise due to small sample sizes in the areas. To
improve on the precision of the direct survey estimates, small area
estimation techniques are often employed to borrow strength from related
information that can be extracted from one or more existing
administrative and/or census databases. In this talk, I will first
discuss the main concepts and issues in small area estimation and then
illustrate the effectiveness of small area estimation techniques in
different applications. The talk will be presented at a level
appropriate for individuals who are new to small area estimation, but
also include discussion of research topics of interest to more
experienced researchers.
INSTRUCTOR BIO
Partha Lahiri is a Professor of the Joint Program in Survey
Methodology (JPSM) at the University of Maryland, College Park, and an
Adjunct Research Professor of the Institute of Social Research,
University of Michigan, Ann Arbor. Professor Lahiri’s research on
small-area estimation has been widely published in leading journals such
as Biometrika, the Journal of the American Statistical Association, the Annals of Statistics and Survey Methodology.
Professor Lahiri has served as member, advisor, or consultant to many
organizations, including the U.S. Census Advisory committee, a National
Academy of Science panel, the United Nations, the World Bank, and the
Gallup Organization. He has served on the Editorial Board of many
international journals, including the Journal of the American Statistical Association and Survey Methodology. Dr. Lahiri has been honored by being made a Fellow of the American Statistical Association and the Institute of Mathematical Statistics and an elected member of the International Statistical Institute.
Registration Fees:
Members of the Survey Research Methods Section: $60
AAPOR members: $75
ASA members: $75
Nonmembers: $95
Registration Deadline: Friday, October 15, 12:00 p.m. Eastern time