Search Results - subject:"Ordinal variables"

Competence of Graduates of University of Economics, Prague. Analysis of Achieved and Required Levels

Kunstová, Renáta; Řezanková, Hana - In: Acta Oeconomica Pragensia 2012 (2012) 2, pp. 49-69

The paper focuses on competitiveness of the Prague University of Economics´ graduates from the point of view of competence levels. The aim was to compare the achieved and required levels of competences evaluated by graduates. We analyzed the data collected within the international projects...

Persistent link: https://www.econbiz.de/10011195171

Poverty measurement with ordinal variables: A generalization of a recent contribution

Yalonetzky, Gaston - Society for the Study of Economic Inequality - ECINEQ - 2012

Bennett and Hatzimasoura (2011) derive a new class of poverty measures suitable for ordinal variables. These indices … of poverty measures for ordinal variables that satisfy a broad array of desirable properties, including those advocated … subclass. Since the class of admissible poverty measures for ordinal variables is unbounded, the note provides two dominance …

Persistent link: https://www.econbiz.de/10010878136

Ordinal log-linear models for contingency tables

Brzezińska, Justyna - In: Folia oeconomica Stetinensia : FOS 16 (2016) 1, pp. 264-273

Persistent link: https://www.econbiz.de/10011713591

Missing ordinal covariates with informative selection

Miranda, Alfonso; Rabe-Hesketh, Sophia - Department of Quantitative Social Science, Institute of … - 2010

This paper considers the problem of parameter estimation in a model for a continuous response variable y when an important ordinal explanatory variable x is missing for a large proportion of the sample. Non-missingness of x, or sample selection, is correlated with the response variable and/or...

Persistent link: https://www.econbiz.de/10008526685

REPRESENTATION-CONSTRAINED CANONICAL CORRELATION-ANALYSIS: A HYBRIDIZATION OF CANONICAL CORRELATION AND PRINCIPAL COMPONENT ANALYSIS

MISHRA, Sudhanshu K - In: Journal of Applied Economic Sciences 4 (2009) 1(7)_ Spring 2009

The classical canonical correlation analysis is extremely greedy to maximize the squared correlation between two sets of variables. As a result, if one of the variables in the dataset-1 is very highly correlated with another variable in the dataset-2, the canonical correlation will be very high...

Persistent link: https://www.econbiz.de/10005016432

Representation-Constrained Canonical Correlation Analysis: A Hybridization of Canonical Correlation and Principal Component Analyses

Mishra, SK - Volkswirtschaftliche Fakultät, … - 2009

Persistent link: https://www.econbiz.de/10005836091

The Qualitative Assessment Model for Variants of Merging of Regions

Sadov, S.L. - In: Journal "Region: Economics and Sociology" 1 (2015)

merging. They are solved with ordinal variables—gradations of scale that state in points (ranks) the factor’s influence on the …

Persistent link: https://www.econbiz.de/10011161862

Unified coding of qualitative and quantitative variables and their analysis with ascendant hierarchical classification

Moschidis, Odysseas - In: International Journal of Data Analysis Techniques and … 7 (2015) 2, pp. 114-128

categorical variables. The research suggest a new encoding of the quantitative variables and of the ordinal variables that leads … to a new more detailed encoding of categorical and ordinal variables in a new general table of percentages, the analysis …

Persistent link: https://www.econbiz.de/10011266487

DOES MICROFINANCE EMPOWER WOMEN? Evidence from Self Help Groups in India

Bali Swain, Ranjula; Wallentin, Fan Yang - Nationalekonomiska Institutionen, Uppsala Universitet - 2007

structural model is estimated by employing appropriate techniques to treat the ordinal variables in order to estimate the impact …

Persistent link: https://www.econbiz.de/10005644603

Does Microfinance Empower Women? Evidence from Self Help Groups in India

Bali Swain, Ranjula; Wallentin, Fan Yang - 2007

structural model is estimated by employing appropriate techniques to treat the ordinal variables in order to estimate the impact …

Persistent link: https://www.econbiz.de/10010321634