Linear Dynamic Panel-data Estimation Using Maximum Likelihood and Structural Equation Modeling

Maximum likelihood estimation of dynamic panel structural equation models with an application to finance and growth

The paper considers maximum likelihood estimation of dynamic panel structural equation models with latent variables and fixed effects (DPSEM). This generalises the structural equation methods where latent variables are measured by multiple observable indicators and where structural and measurement models are jointly estimated to dynamic panel models with fixed effects. Analytical expressions fo...

Quasi Maximum-Likelihood Estimation of Dynamic Panel Data Models

This paper establishes the almost sure convergence and asymptotic normality of levels and differenced quasi maximum-likelihood (QML) estimators of dynamic panel data models. The QML estimators are robust with respect to initial conditions, conditional and time-series heteroskedasticity, and misspecification of the log-likelihood. The paper also provides an ECME algorithm for calculating levels ...

FIRST DIFFERENCE MAXIMUM LIKELIHOOD AND DYNAMIC PANEL ESTIMATION By

First difference maximum likelihood (FDML) seems an attractive estimation methodology in dynamic panel data modeling because differencing eliminates fixed effects and, in the case of a unit root, differencing transforms the data to stationarity, thereby addressing both incidental parameter problems and the possible effects of nonstationarity. This paper draws attention to certain pathologies th...

Maximum likelihood and Bayesian estimation for nonlinear structural equation models

Maximum Likelihood Estimation of Parameters in Generalized Functional Linear Model

Sometimes, in practice, data are a function of another variable, which is called functional data. If the scalar response variable is categorical or discrete, and the covariates are functional, then a generalized functional linear model is used to analyze this type of data. In this paper, a truncated generalized functional linear model is studied and a maximum likelihood approach is used to esti...