Dynamic discrete choice panel data models have received a great deal of attention. In those models, the dynamics is usually handled by including the lagged outcome as an explanatory variable. In this paper we consider an alternative model in which the dynamics is handled by using the duration in the current state as a covariate. We propose estimators that allow for group specific effect in para...

Unemployment Persistence: How Important Are Non-Cognitive Skills? Using a random effects dynamic panel data model and the 2000-2008 waves of the German SOEP this paper shows that non-cognitive skills have a predictive power on unemployment transitions. JEL Classification: C33, J64

introduction: the area under cultivation and yield of crops are affected by various factors, some of which are controllable and some others are uncontrollable. controllable factors are divided into two types of price and non-price factors. among the price factors, prices of agricultural products and inputs play an important role in expanding the cultivation area. uncontrollable factors also hav...

the objective of this paper is to explore the effect of financial crisis on trade flows of steel industries in the major asian-pacific steel producing countries. using a static and dynamic panel data analysis, we test the hypothesis that the global financial crisis has a negative effect on asia-pacific bilateral steel trade flows. we also examine the role of regional trade integration in bilate...

efficiency in agricultural production is indicative of the efficiency level of farm households in their farming activities. farmers in developing countries do not make use of all the potential technological resources, thus making inefficient decisions in their agricultural activities. herein, technical efficiency in relation with the production of three types of rice crop (boro, aus and aman) w...

This paper provides a review of linear panel data models with slope heterogeneity, introduces various types of random coe¢ cients models and suggests a common framework for dealing with them. It considers the fundamental issues of statistical inference of a random coe¢ cients formulation using both the sampling and Bayesian approaches. The paper also provides a review of heterogeneous dynamic p...

We use panel data models to examine variations and changes in faculty employment at four-year colleges and universities in the United States. The share of part-time faculty among total faculty has continued to grow during the last two decades, while the share of full-time lecturers and instructors has been relatively stable. Meanwhile, the share of non-tenure track faculty among full-time facul...

This paper gives a selective review on the recent developments of nonparametric and semiparametric panel data models. We focus on the conventional panel data models with one-way error component structure, partially linear panel data models, varying coe¢ cient panel data models, nonparametric panel data models with multi-factor error structure, and nonseparable nonparametric panel data models. F...