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A semi-parametric panel data model with common factors and spatial dependence

Abstract: In the analysis of the Griliches' knowledge capital production function, previous works pointed out the relevance of incorporating slope heterogeneity in the technological parameters, cross-sectional dependence arising simultaneously from common factors and spillovers, and possible nonlinear effects of relevant common observed variables. In order to solve the above problems, in this article we introduce a semi-parametric model in a partially linear form that copes simultaneously with all the previous specification issues. The asymptotic properties of the resulting estimators are obtained and the theoretical findings are further supported for small samples via several Monte Carlo experiments and an empirical application

 Autoría: Soberon A., Musolesi A., Rodriguez-Poo J.M.,

 Fuente: Oxford Bulletin of Economics & Statistics, 2024, 86(4), 905-927

 Editorial: Wiley-Blackwell Publishing Ltd.

 Año de publicación: 2024

 Nº de páginas: 23

 Tipo de publicación: Artículo de Revista

 DOI: 10.1111/obes.12609

 ISSN: 0305-9049,1468-0084

 Proyecto español: PID2019-105986GB-C2

 Url de la publicación: https://doi.org/10.1111/obes.12609