A Latent Markov Model Approach to the Estimation of Response Errors in Multiwave Panel Data
用潜在马尔可夫模型估计多期面板中的回答误差
When direct measures of response error are not available in multiwave panel data, latent Markov chain models can provide a useful framework for analysis of response errors. These models permit the estimation of real change and response error even when the observations are widely spaced. This methodology is illustrated with Social Security Administration panel data from the years 1971, 1972, and 1974 (see Frohlich 1975 and Social Security Administration 1979a,b) on…