Search Results - subject:"categorical variables"

Ranking distributions of monotone attributes

Herrero, Carmen; Villar, Antonio - Departamento de Economía, Universidad Pablo de Olavide - 2014

This paper refers to the ranking of densities that describe the distribution of an attribute in a given set of populations. The key elements of the problem are: (i) The distributions refer to ordered categorical data (e.g. health statuses, educational achievements, prestige positions,...

Persistent link: https://www.econbiz.de/10010772262

Ranking distributions of monotone attributes

Herrero, Carmen; Villar, Antonio - Department of Economics, European University Institute - 2014

Persistent link: https://www.econbiz.de/10010905859

Cluster Correspondence Analysis

van de Velden, van de Velden, M.; Iodice D' Enza, A.; … - Faculteit der Economische Wetenschappen, Erasmus … - 2014

observations are assigned to clusters in such a way that the distributions over the categorical variables for the different …

Persistent link: https://www.econbiz.de/10011149289

Panel Data Specifications in Nonparametric Kernel Regression: An Application to Production Functions

Czekaj, Tomasz; Henningsen, Arne - 2013

We discuss nonparametric regression models for panel data. A fully nonparametric panel data specification that uses the time variable and the individual identifier as additional (categorical) explanatory variables is considered to be the most suitable. We use this estimator and conventional...

Persistent link: https://www.econbiz.de/10012100997

Panel Data Specifications in Nonparametric Kernel Regression: An Application to Production Functions

Czekaj, Tomasz; Henningsen, Arne - Institut for Fødevare- og Ressourceøkonomi, … - 2013

Persistent link: https://www.econbiz.de/10010822723

Non-metric PLS path modling: integration into the labour market of sapienza graduates.

Petrarca, Francesca - Dipartimento di Economia, Università degli Studi di Roma 3 - 2013

Non-Metric Partial Least Squares Path Modeling is a recent methodology based on the concept of Optimal Scaling applied to PLS Path Modeling algorithms. We adopted Non-Metric PLS Path Modeling to analyse a large administrative dataset containing nominal and ordinal variables using a specialized R...

Persistent link: https://www.econbiz.de/10010720625

Measuring firms' input congestion with consideration of environmental factors : the case of European railway transport

Lin, Erwin - In: Acta oeconomica : periodical of the Hungarian Academy … 66 (2016) 1, pp. 153-171

Persistent link: https://www.econbiz.de/10011598004

Clustering of categorical variables around latent variables

SARACCO, Jérome; CHAVENT, Marie; KUENTZ, Vanessa - Groupe de Recherche en Économie Théorique et … - 2010

specific methods have been developed for the clustering of numerical variables. However concerning categorical variables, much … a cluster of categorical variables is defined as the sum of the correlation ratio between the categorical variables and … categorical variables are proposed: iterative relocation algorithm, ascendant and divisive hierarchical clustering. The proposed …

Persistent link: https://www.econbiz.de/10008476332

Misspecification and Heterogeneity in Single-Index, Binary Choice Models

Chen, Pian; Velamuri, Malathi - Volkswirtschaftliche Fakultät, … - 2009

We propose a nonparametric approach for estimating single-index, binary-choice models when parametric models such as Probit and Logit are potentially misspecified. The new approach involves two steps: first, we estimate index coefficients using sliced inverse regression without specifying a...

Persistent link: https://www.econbiz.de/10004980380

Multiple imputation of missing values: Further update of ice, with an emphasis on categorical variables

Royston, Patrick - In: Stata Journal 9 (2009) 3, pp. 466-477

specification) is further updated. Special attention is paid to categorical variables. The relationship between ice and the new …

Persistent link: https://www.econbiz.de/10008619654