Quotation Crespo Cuaresma, Jesus, Grün, Bettina, Hofmarcher, Paul, Humer, Stefan, Moser, Mathias. 2016. Unveiling Covariate Inclusion Structures In Economic Growth Regressions Using Latent Class Analysis. European Economic Review, 81, 189-202.


RIS


BibTeX

Abstract

We propose the use of Latent Class Analysis methods to analyze the covariate inclusion patterns across specifications resulting from Bayesian model averaging exercises. Using Dirichlet Process clustering, we are able to identify and describe dependency structures among variables in terms of inclusion in the specifications that compose the model space. We apply the method to two datasets of potential determinants of economic growth. Clustering the posterior covariate inclusion structure of the model space formed by linear regression models reveals interesting patterns of complementarity and substitutability across economic growth determinants.

Tags

Press 'enter' for creating the tag

Publication's profile

Status of publication Published
Affiliation WU
Type of publication Journal article
Journal European Economic Review
Citation Index SSCI
WU Journalrating 2009 A
WU-Journal-Rating new FIN-A, VW-A, WH-B
Language English
Title Unveiling Covariate Inclusion Structures In Economic Growth Regressions Using Latent Class Analysis
Volume 81
Year 2016
Page from 189
Page to 202
Reviewed? Y
URL http://www.sciencedirect.com/science/article/pii/S0014292115000458
DOI http://dx.doi.org/10.1016/j.euroecorev.2015.03.009

Associations

People
Crespo Cuaresma, Jesus (Details)
Grün, Bettina (Details)
Hofmarcher, Paul (Details)
Humer, Stefan (Details)
Moser, Mathias (Details)
Organization
Department of Economics (Crespo Cuaresma) (Details)
Institute for Economic Geography and GIScience IN (Details)
Research Institute for Human Capital and Development FI (Former organization)
Competence Center for Sustainability Transformation and Responsibility WE (Details)
Economics of Inequality FI (Details)
Google Scholar: Search