Marconi, Gabriele (2014): European higher education policies and the problem of estimating a complex model with a small crosssection. Published in: ROA Dissertation Series No. 19 (21 January 2015)

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Abstract
This paper discusses the components on components regression, a statistical technique suitable for explorative analyses of small datasets containing multiple independent, mediating and dependent variables. This method is compared to ordinary least squares and principal component regression by means of discussion of their properties and the assumptions underlying these estimators, a simulation and an empirical application to European higher education policy, and economic innovativeness in 32 countries. In the datasets used in this paper, the components on components regression yields more precise estimates of the coefficients of association between independent, mediating and dependent variables, compared to ordinary least squares. Compared to the principal components regression, it leads to a more parsimonious empirical model. The simulation also shows that the standard errors of the coefficients estimated with the components on components regression can be obtained by bootstrapping.
Item Type:  MPRA Paper 

Original Title:  European higher education policies and the problem of estimating a complex model with a small crosssection 
Language:  English 
Keywords:  principal components regression – OLS – small sample – explorative research – higher education policies – Montecarlo simulation 
Subjects:  C  Mathematical and Quantitative Methods > C1  Econometric and Statistical Methods and Methodology: General > C13  Estimation: General C  Mathematical and Quantitative Methods > C3  Multiple or Simultaneous Equation Models ; Multiple Variables > C38  Classification Methods ; Cluster Analysis ; Principal Components ; Factor Models J  Labor and Demographic Economics > J2  Demand and Supply of Labor > J24  Human Capital ; Skills ; Occupational Choice ; Labor Productivity O  Economic Development, Innovation, Technological Change, and Growth > O3  Innovation ; Research and Development ; Technological Change ; Intellectual Property Rights > O38  Government Policy 
Item ID:  87600 
Depositing User:  Gabriele Marconi 
Date Deposited:  24 Jul 2018 10:43 
Last Modified:  24 Jul 2018 10:44 
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URI:  https://mpra.ub.unimuenchen.de/id/eprint/87600 