Analyzing panel data
An introduction to a variety of techniques that may be used in the analysis of data from a panel study -- information obtained from a large number of entities at two or more points in time. The focus of this volume is on analysis rather than problems of sampling or design, and its emphasis is on application rather than theory.
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2SLS analysis of panel ANALYZING PANEL DATA ANOVA application approach assumed assumption attitude elements autocorrelated disturbance black-white model causal model cell frequencies change process chi-square test Coleman model contingency table correlation covariance dependent variable discussion distribution disturbance term endogenous Equation 39 Equation 44 evaluated example exogenous constructs Figure financial change Goodman Hanushek and Jackson Homoscedastic independent instrumental variable interaction effects lagged large number latent attitude latent class latent probabilities LISREL log-linear Log-Linear Models log-odds main effects manifest response Markov chain Markov models Markov process Markovian Markus measurement error measurement model Middle Working Total movers multiple regression OLS estimate panel analysis panel study parameters party identification predictions procedure regression analysis regression effects regressor researcher Salience sample saturated model simple Markov Social Class Identification stable techniques Total Middle transition matrices transition probabilities transition rates true change true scores V(ei variance variance-covariance matrix waves of data Wiggins models Wiley and Wiley zero