Results 31 to 40 of about 954,686 (310)
Robust estimation for linear panel data models
Statistics in Medicine, 2020 In different fields of applications including, but not limited to, behavioral, environmental, medical sciences, and econometrics, the use of panel data regression models has become increasingly popular as a general framework for making meaningful statistical inferences. However, when the ordinary least squares (OLS) method is used to estimate the model
Beste Hamiye Beyaztas +1 more
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Testing for Selectivity Bias in Panel Data Models [PDF]
International Economic Review, 1992 textabstractDiscusses several tests to check for the presence of selectivity bias in estimators based on panel data. Introduction; Selectivity bias in the fixed and random effects estimators; Simple tests for selectivity bias; Specification of the response mechanism and the LM test for selectivity bias; Numerical results on the pseudo true values of ...
Verbeek, Marno, Nijman, Theo
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Is Global Competitiveness Speeding Up the Growth in the EU? A Panel Data Analyis
Studia Universitatis Vasile Goldis Arad, Seria Stiinte Economice, 2018 The paper documents the impact of global competitiveness on economic growth in the EU Member States. In a panel data approach, for a time span of 10 years (2008- 2017), a validated influence of Global Competitiveness Index on annual rate of GDP in the EU
Neagu Olimpia
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Panel Data Models of New Firm Formation in New England
REGION, 2017 This study examines the impact of the determinants of new firm formation in New England at the county level from 1999 to 2009. Based on the Spatial Durbin panel model that accounts for spillover effects, it is found that population density and human ...
Jitendra Parajuli, Kingsley E. Haynes
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Tests for Normality in Linear Panel-data Models [PDF]
The Stata Journal: Promoting communications on statistics and Stata, 2015 We propose a new command, xtsktest, for explaining nonnormalities in linear panel-data models. The command performs tests to explore skewness and excess kurtosis, allowing researchers to identify departures from Gaussianity in both error components of a standard panel regression, separately or jointly. The tests are based on recent results by Galvao et
Alejo, Javier +3 more
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A Conditional Approach to Panel Data Models with Common Shocks
Econometrics, 2016 This paper studies the effects of common shocks on the OLS estimators of the slopes’ parameters in linear panel data models. The shocks are assumed to affect both the errors and some of the explanatory variables. In contrast to existing approaches, which
Giovanni Forchini, Bin Peng
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Determinants of Deindustrialisation in Developed European and Post-Communist Countries [PDF]
Montenegrin Journal of Economics, 2017 The main goal of this paper is to shed some light on the pro-cess of deindustrialisation defined as falling share of industry employment in total employment.
Marija Beg +2 more
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Predictive Modeling With Psychological Panel Data
Zeitschrift für Psychologie, 2018 Abstract. Longitudinal panels include several thousand participants and variables. Traditionally, psychologists analyze only a few variables – partly because common unregularized linear models perform poorly when the number of variables ( p) approaches the number of observations ( N).
Florian Pargent +1 more
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The effects of structural change on economic growth: A panel data analysis [PDF]
PanoeconomicusThis paper attempts to enhance empirical understanding of the effects of structural-change variables on economic outcomes. The relationships between sectoral shares and (1) the speed of structural change and (2) economic growth were examined for a large ...
Trofimov Ivan D.
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Mathematics, 2020 The aim of this work is to design a multiobjective model to explain the behavior among military expenditures (MEs), the human development index, and the global peace index in countries belonging to the North Atlantic Treaty Organization (NATO) for the ...
Patricio Vallejo-Rosero +4 more
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