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The Generalized Method of Moments (GMM) is discussed for handling the joint occurrence of fixed effects and random measurement errors in an autoregressive panel data model. Finite memory of disturbances, latent regressors and measurement errors is assumed. Two specializations of GMM are...
Persistent link: https://www.econbiz.de/10009489019
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In the paper is considered identification of coefficients in equations explaining a continuous variable, say the number of sickness absence days of an individual per year, by cohort, time and age, subject to their definitional identity. Extensions of a linear equation to polynomials, including...
Persistent link: https://www.econbiz.de/10009723903
Identification of equations explaining a continuous variable, e.g., the length of sickness absence spells, by age, cohort and time (ACT), subject to their definitional identity is reconsidered. Various extensions of a linear equation to polynomials are explored. If no interactions between the...
Persistent link: https://www.econbiz.de/10009757087
The measurement error problem in linear time series regression, with focus on the impact of error memory, modeled as nite-order MA processes, is considered. Three prototype models, two bivariate and one univariate ARMA, and ways of handling the problem by using instrumental variables (IVs) are...
Persistent link: https://www.econbiz.de/10010459136
When using data from individuals who are in the labour force to disentangle the empirical relevance of cohort, age and time effects for sickness absence, the inference may be biased, affected by sorting-out mechanisms. One reason is unobserved heterogeneity potentially affecting both health...
Persistent link: https://www.econbiz.de/10008758766
In the paper steps are taken towards integration of two parts of Trygve Haavelmo’s work: investment theory and econometrics of interrelated markets. Attempts are made to bring the duality in the representation of the capital service price and the capital quantity in relation to the investment...
Persistent link: https://www.econbiz.de/10009520178
A system of regression equations (SURE) for analyzing panel data with random heterogeneity in intercepts and coefficients, and unbalanced panel data is considered. A Maximum Likelihood (ML) procedure for joint estimation of all parameters is described. Since its implementation for numerical...
Persistent link: https://www.econbiz.de/10009581432
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