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Interpreting Estimated Parameters and Measuring Individual Heterogeneity in Random Coefficient Models

Authors: Greene, William
Keywords: Panel data;random effects;random parameters;maximum simulated likelihood;conditional mean;conditional variance;marginal effects;confidence interval
Issue Date: 6-May-2004
Series/Report no.: EC-04-08
Abstract: Recent studies in econometrics and statistics include many applications of random parameter models. The underlying structural parameters in these models are often not directly informative about the statistical relationship of interest. As a result, standard significance tests of structural parameters in random parameter models do not necessarily indicate the presence or absence of a ‘significant’ relationship among the model variables. This note offers a suggestion on how to examine the results of estimation of a general form of random parameter model. We also extend results on computing individual level parameters in a random parameters setting and show how simulation based estimates of parameters in conditional distributions can be used to examine the influence of model covariates (marginal effects) at an individual level
Appears in Collections:Economics Working Papers

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