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...

An Evaluation of Public-Sector-Sponsored Continuous Vocational Training Programs in East Germany This study analyses the effects of public-sector-sponsored continuous vocational training and retraining in East Germany after unification with West Germany in 1990. It presents econometric estimates of the average gains from training participation in terms of employment probabilities, earnings, and...

We propose to use the attractiveness of pooling relatively short time series that display similar dynamics, but without restricting to pooling all into one group. We suggest to estimate the appropriate grouping of time series simultaneously along with the group-specific model parameters. We cast estimation into the Bayesian framework and use Markov chain Monte Carlo simulation methods. We discu...

Smoking Persistence Across Countries: An Analysis Using Semi-Parametric Dynamic Panel Data Models with Selectivity We study smoking persistence in ten countries using data from the European Community Household Panel. Such persistence may be due to true state dependence but may also reflect individual unobserved heterogeneity. We distinguish between the two by using semiparametric dynamic panel ...

Health Care Expenditure and Income in the OECD Reconsidered: Evidence from Panel Data This paper reconsiders the long-run economic relationship between health care expenditure and income using a panel of 20 OECD countries observed over the period 1971-2004. In particular, the paper studies the non-stationarity and cointegration properties between health care spending and income. This is done in...

This paper develops a new framework and statistical tools to analyze stock returns using high frequency data. We consider a continuous-time multi-factor model via a continuous-time multivariate regression incorporating realistic empirical features, such as persistent stochastic volatilities with leverage effects. We find that conventional regression approach often leads to misleading and incons...

In this paper we estimate different specifications of a model for the determination of the bilateral real exchange rate of the peseta relative to nine European Union members. The model is based on Meese and Rogoff (The Journal of Finance 43 (1988) 933) monetary approach as extended by MacDonald (Journal of International Financial Markets, Institutions and Money 8 (1998) 117). The applied econom...

In this paper we develop a dynamic discrete-time bivariate probit model, in which the conditions for Granger non-causality can be represented and tested. The conditions for simultaneous independence are also worked out. The model is extended in order to allow for covariates, representing individual as well as time heterogeneity. The proposed model can be estimated by Maximum Likelihood. Granger...

A multi-product cost model is estimated on a panel of U.S. local exchange carriers from the period 1989–1999. The model allows specification of cost inefficiency to avoid potential bias in the estimates. Unlike earlier research, the paper experiments with several proxies of the carriers’ access provision. The results show slight economies of scale and density with moderate cost increments due t...

This paper introduces model specifications that can be used to explain response incentive effects that might occur with discrete response contingent valuation data when follow-up responses are collected. The models allowfor possible random response shocks, structural ships in willingness to pay betweenpayment questionsand heteroskedasticity between and within responses. Three well-known conting...