averages and are smooth functions of a parameter theta. This includes log likelihood, quasi-log likelihood, and least squares …-strong, and strong identification. We determine the asymptotic size (in a uniform sense) of standard t and quasi-likelihood ratio …

averages and are smooth functions of a parameter theta. This includes log likelihood, quasi-log likelihood, and least squares …-strong, and strong identification. We determine the asymptotic size (in a uniform sense) of standard t and quasi-likelihood ratio …

First difference maximum likelihood (FDML) seems an attractive estimation methodology in dynamic panel data modeling … finite sample peformance and asymptotics. FDML uses the Gaussian likelihood function for first differenced data and parameter … estimation is based on the whole domain over which the log-likelihood is defined. However, extending the domain of the likelihood …