Document type
ArticleVersion
Accepted versionPublication date
All rights reserved
Please use this identifier to cite or link to this item: https://hdl.handle.net/2445/123395
Growth, convergence and public investment. A Bayesian model averaging approach
Journal Title
Director/Tutor
Journal ISSN
Volume Title
Related resource
Abstract
The aim of this study is twofold. First, the determinants of economic growth are studied among a wide set of potential variables for the Spanish provinces (NUTS3). Among others, various types of private, public and human capital in the group of growth factors are included. Also, it is analysed whether Spanish provinces have converged in economic terms in recent decades. The second objective is to obtain cross-section and panel data parameter estimates that are robust to model specification. For this purpose, a Bayesian Model Averaging (BMA) approach is used. Bayesian methodology constructs parameter estimates as a weighted average of linear regression estimates for every possible combination of included variables. The weight of each regression estimate is given by the posterior probability of each model.
Subject (English)
Citation
Collections
Citation
LEÓN-GONZÁLEZ, Roberto and MONTOLIO, Daniel. Growth, convergence and public investment. A Bayesian model averaging approach. Applied Economics. 2004. Vol. 36, num. 17, pags. 1925-1936. ISSN 0003-6846. [consulted: 18 of June of 2026]. Available at: https://hdl.handle.net/2445/123395