Online Program
Estimation of stationary parameters using dynamic sample weights
*Duncan Ermini Leaf, University of Southern California Schaeffer Center for Health Policy and Economics Keywords: estimation, weights, weighted mean Longitudinal panel survey data often include crosssectional weights for each wave. These weights specify the number of people in the population represented by each member of the sample and are typically necessary when estimating a population parameter from the sample data. If a parameter remains constant over some time interval, a sensible estimate of that parameter should use data from every sample member present within the interval. This presents a challenge because each sample member can have multiple weights: one weight for each survey wave in the interval. One solution is to use only a single weight for each sample member. Two such approaches are considered here. First, a new method is introduced that is based upon a weighted mean. The second method is based upon a recommendation in the Health and Retirement Study documentation. The two methods are compared using simulated data and survey data from the Health and Retirement Study.

Important Dates & Deadlines
 October 9  11, 2013
ICHPS 2013