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Gender Equality in Central and Eastern Europe : A Comparison of Labour Market Attitudes, Educational Achievement and Poverty between East and West
Schnepf, Sylke Viola - 2005
tremendous increase in poverty and income inequality in Central and Eastern Europe (CEE). Much of the literature argues that the …’s economic empowerment: the labour market, education and poverty. Large and complex data sets on peoples’ attitudes and … greater in transition than in OECD countries.On the other hand, once the feminisation of poverty is concerned data on …
Persistent link: https://www.econbiz.de/10009449678
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Adaptive weighting for flexible estimation in nonparametric regression models.
Nosedal-Sanchez, Alvaro - 2011
cross validation) p smoothing parameters. Theory fromCOmponent Selection and Shrinkage Operator (COSSO), reduces the problem …
Persistent link: https://www.econbiz.de/10009429662
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Accuracy bounds for normal-incidence acoustic structure estimation
Theriault, Kenneth B. - 1977
filtering theory. (2) Thebound is developed for estimation in a continuous medium whosestructure (acoustic impedance, for …
Persistent link: https://www.econbiz.de/10009461036
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Determination of the optimal number of strata for bias reduction in propensity score matching.
Akers, Allen - 2010
Previous research implementing stratification on the propensity score has generally relied on using five strata, based on prior theoretical groundwork and minimal empirical evidence as to the suitability of quintiles to adequately reduce bias in all cases and across all sample sizes. This study...
Persistent link: https://www.econbiz.de/10009475025
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Scaling conditional tail probability and quantile estimators
Cotter, John - 2009
period). The authors refer to this framework as conditional extreme value theory (EVT). To begin, they use an AR(1)-Garch(1 …
Persistent link: https://www.econbiz.de/10009475704
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Theoretical Results and Applications Related to Dimension Reduction
Chen, Jie - 2007
To overcome the curse of dimensionality, dimension reduction is important andnecessary for understanding the underlying phenomena in a variety of fields.Dimension reduction is the transformation of high-dimensional data into ameaningful representation in the low-dimensional space. It can be...
Persistent link: https://www.econbiz.de/10009475737
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Folded Variance Estimators for Stationary Time Series
Antonini, Claudia - 2005
This thesis is concerned with simulation output analysis. In particular, we are inter-ested in estimating the variance parameter of a steady-state output process. The estimationof the variance parameter has immediate applications in problems involving (i) the precisionof the sample mean as a...
Persistent link: https://www.econbiz.de/10009476105
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A non-iterative alternative to ordinal log-linear models
Beh, Eric John; Davy, Pamela J. - University of Wollongong; University of Western Sydney; … - 2004
Log-linear modeling is a popular statistical tool for analysing a contingency table. This presentation focuses on an alternative approach to modeling ordinal categorical data. The technique, based on orthogonal polynomials, provides a much simpler method of model fitting than the conventional...
Persistent link: https://www.econbiz.de/10009481982
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A non-iterative alternative to ordinal log-linear models
Beh, Eric John; Davy, Pamela J. - University of Wollongong; University of Western Sydney; … - 2004
Log-linear modeling is a popular statistical tool for analysing a contingency table. This presentation focuses on an alternative approach to modeling ordinal categorical data. The technique, based on orthogonal polynomials, provides a much simpler method of model fitting than the conventional...
Persistent link: https://www.econbiz.de/10009482057