The estimation of three-dimensional fixed effects panel data models

The paper introduces for the most frequently used three-dimensional fixed effects panel data models the appropriate Within estimators. It analyzes the behaviour of these estimators in the case of no-self-flow data, unbalanced data and dynamic autoregressive models.panel data, unbalanced panel, dynamic panel data model, multidimensional panel data, fixed effects, trade models, gravity models, FDI

Fixed effects models

In recent years the massive emergence of multi-dimensional panels has led to an increasing demand for more sophisticated model formulations with respect to the well known two-dimensional ones to address properly the additional heterogeneity in the data. This chapter deals with the most relevant three-dimensional fixed effects model specifications and derives appropriate Least Squares Dummy Variables and Within estimators for them. The main results of the chapter are also generalized for unbalanced panels, cross-sectional dependence in the error terms, and higher dimensional data. Some thoughts on models with varying slope coefficients are also presented

The estimation of three-dimensional fixed effects panel data models

The paper introduces for the most frequently used three-dimensional fixed effects panel data models the appropriate Within estimators. It analyzes the behaviour of these estimators in the case of no-self-flow data, unbalanced data and dynamic autoregressive models

The estimation of three-dimensional fixed effects panel data models

The paper introduces for the most frequently used three-dimensional fixed effects panel data models the appropriate Within estimators. It analyzes the behaviour of these estimators in the case of no-self-flow data, unbalanced data and dynamic autoregressive models

A Service of zbw Leibniz-Informationszentrum Wirtschaft Leibniz Information Centre for Economics The Estimation of Multi-dimensional Fixed Effects Panel Data Models The Estimation of Multi-dimensional Fixed Effects Panel Data Models The Estimation of Mult

Standard-Nutzungsbedingungen: Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden. Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen. Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. The paper introduces the appropriate within estimators for the most frequently used threedimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and dynamic autoregressive models. The main results are then generalized for higher dimensional panel data sets as well. Terms of use: Documents in EconStor may JEL-Code: C100, C200, C400, F170, F470

The Estimation of Multidimensional Fixed Effects Panel Data Models

This article introduces the appropriate within estimators for the most frequently used three-dimensional fixed effects panel data models. It analyzes the behavior of these estimators in the cases of no self-flow data, unbalanced data, and dynamic autoregressive models. The main results are then generalized for higher dimensional panel data sets as well

Comparitive Aanalysis of the Results of Performance Strategies Tests Between British and Hungarian Female Gymnasts

The aim of the present study was to describe/explain differences in the psychological skills of the British (N=17) and Hungarian (N=16) female gymnasts. Members of both groups who had been preparing for the London Olympic Games were selected to participate in our study. The behavior strategy of female gymnasts was measured with the Test of Performance Strategies (TOPS) instrument. The questionnaire was applied to Hungarian and British participants. Test-retest reliability was between 0.61 and 0.89. Cronbach�s alpha values were between 0.74 and 0.93 during the practice period in Hungarian group. Test-retest values measured during the competition period were between 0.63 and 0.87, while the alpha values ranged from 0.73 to 0.88 also in Hungarian. Differences were hypothesized in the psychological skills between the two samples of gymnasts. The hypotheses were partially confirmed. Results suggest that gymnast groups attain their goals related to sport performance through different behavioral strategies