This paper shows how the dynamic linear model with fixed regressors can be efficiently estimated. This dynamic model can be used to distinguish spurious correlation from state dependence and we show that the integrated likelihood estimator is adaptive for any asymptotics with T increasing where...

For a time-continuous discrete-state Markov process as model for rating transitions, we study the time-stationarity by means of a likelihood ratio test. For multiple Markov process data from a multiplicative intensity model, maximum likelihood parameter estimates can be represented as martingale...

We consider the relationship between tourism and economic growth for Latin American countries since 1985 until 1998. The analysis proposed is based on a panel data approach and the Arellano-Bond estimator for dynamic panels. We obtain estimates of the relationship between economic growth and...

GMM estimation of autoregressive panel data equations in error-ridden variables when the noise has memory, is considered. The impact of variation in the memory length in signal and noise spread and in the degree of individual heterogeneity are discussed with respect to finite sample bias, using...

I decompose the cross-sectional variance of male annual earnings in Sweden between 1960 and 1990 into permanent and transitory components. The transitory variance increased until the early 1970s, declined during the remainder of the decade and then rose again during the second half of the 1980s....

Earlier studies estimating the demand for local public services by means of the median voter model have typically assumed exogenous regressors and static set-ups. Furthermore, the commonly used log-linear specification of the demand function has in most cases not been supported by a well-defined...

After the collapse in the early years of transition, saving rates in many EU-accession countries have recovered and remained stable during recent years. This may indicate that the transformation process has come to an end with regard to savings. Is saving behaviour in EU-accession countries now...

An exact maximum likelihood method is developed for the estimation of parameters in a nonlinear non-Gaussian dynamic panel data model with unobserved random individual-specific and time-varying effects. We propose an estimation procedure based on the importance sampling technique. In particular,...

An autoregressive fixed effects panel data equation in error-ridden endogenous and exogenous variables, with finite memory of disturbances, latent regressors and measurement errors is considered. Finite sample properties of GMM estimators are explored by Monte Carlo (MC) simulations. Two kinds...

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...