Showing papers on "Multidimensional panel data published in 2012"
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17 Feb 2012TL;DR: In this paper, the authors introduce for the most frequently used three-dimensional panel data sets several random effects model specifications and derive appropriate estimation methods for the balanced and unbalanced cases for the bilateral trade of 20 EU countries is analysed for the period 2001-2006.
Abstract: The paper introduces for the most frequently used three-dimensional panel data sets several random effects model specifications. It derives appropriate estimation methods for the balanced and unbalanced cases. An application is also presented where the bilateral trade of 20 EU countries is analysed for the period 2001-2006. The differences between the fixed and random effects specifications are highlighted through this empirical exercise.
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1 Apr 2012
TL;DR: In this article, the authors apply a spatial panel data model analysis to include the dimension of space and time in a model and obtain an increase in R2 compared with panel data analysis.
Abstract: The modeling of spatial panel data is a method of analysis that include the dimension of space and time In this analysis, the set of data that is required is a combination of cross sections and time series data, that is, either the data observed in each observation location periodically from time to time On modeling of panel data, there are three approaches, namely pooled least square model, fixed and random effects model While on modeling of spatial panel data there are several approaches which is a combination of these three approaches in modeling panel data with spatial autoregression model (SAR) and spatial error model (SEM) This research aims to apply a spatial panel data model analysis to include the dimension of space and time in a model The data that used in this research is GDP, local revenues, a total population and total regional expenditures of ten districts in Jambi province during the years 2000-2008 The results from spatial panel data analysis obtained that model regression of spatial panel data corresponding to the data is panel data models with fixed effect model and spatial error model From the results of such analysis can also be seen an increase in R2 compared with panel data analysis Keywords : the modeling of panel data, the modeling of spatial panel data, SAR, SEM
TL;DR: In this article, the authors present the set up of the panel data, indicating in more detail the data sources and matching procedure underlying the matched employer-employee data set for Austria.
Abstract: Matched employer-employee (panel) data sets are gaining increasing importance in the analysis of labour markets. In collaboration with Statistics Austria we recently initiated the set up of a matched employer-employee panel data set for Austria, which covers the years 2002-2005. The aim of the paper is to introduce the data set to a broader audience. We first present the set up of the panel data, indicating in more detail the data sources and matching procedure underlying the matched employer-employee data set for Austria. In a second step we show descriptive statistics of the main variables included in our data set. These various statistics encompass three levels of analysis: the aggregate level (i.e. the entire sample), firm level and individual (employee) level.