A method is proposed for consistent information estimation in a class of semiparametric models. The method is based on the geometric interpretation of the efficient score function, that it is the residual of the orthogonal projection of the score function for the finite-dimensional parameter onto the tangent space for the infinitedimensional parameter. The empirical version of this projection i...

In this paper, we study data on discrete labor market transitions from Austria. In particular, we follow the careers of workers who experience a job displacement due to plant closure and observe – over a period of forty quarters – whether these workers manage to return to a steady career path. To analyse these discrete-valued panel data, we apply a new method of Bayesian Markov chain clustering...

The determinants of transitions between di erent states of nancial distress are analyzed using two versions of Markov chain models: a multinomial logit model without random e ects and a multinomial logit model capturing such unobservable factors. The empirical analysis is based on a panel data set containing information on 15,538 East German rms founded between 1994 and 1999. The estimation res...

The objective of the study is to examine the relationship between air pollution, fossil fuel energy consumption, water resources, and natural resource rents in the panel of selected Asia-Pacific countries, over a period of 1975-2012. The study includes number of variables in the model for robust analysis. The results of cross-sectional analysis show that there is a significant relationship betw...

For the conditional mean function of panel count model with time-varying coefficients, we propose to use local kernel regression method for estimation. Partial log-likelihood polynomial is formed Under some regularity conditions, strong uniform consistency rates are obtained estimator. At target time point, show that estimator converges in distribution normal distribution. The baseline also sho...

We propose a generalization of the linear panel quantile regression model to accommodate both sparse and dense parts: means that while number covariates available is large, potentially only much smaller them have nonzero impact on each conditional response variable; part represent by low-rank matrix can be approximated latent factors their loadings. Such structure poses problems for traditional...

The Dynamics of Immigrant Welfare and Labor Market Behavior This paper analyzes transitions into and out of 3 different labor market states, social assistance, unemployment and employment. We estimate a dynamic multinomial logit model, controlling for endogenous initial condition and unobserved heterogeneity, using a large representative Swedish panel data set, LINDA, for the years 1990 to 1996...