This paper proposes a unified framework for accommodating both time and cross-sectional dependence in modelling technical efficiency in stochastic frontier models by combining the exogenously driven factor-based approach and an endogenous threshold efficiency regime selection mechanism. This approach is able to deal with both weak and strong cross-sectional dependence in a flexible manner. Using a dataset of 26 OECD countries over 1970–2010, we provide satisfactory estimation results for the production technology parameters and the associated efficiency ranking of individual countries. We find a positive spillover effect on efficiency, supporting the hypothesis that knowledge spillover is more likely to be induced by technological proximity. Furthermore, our approach enables us to identify efficiency clubs endogenously.

MODELLING TECHNICAL EFFICIENCY IN CROSS SECTIONALLY DEPENDENT STOCHASTIC FRONTIER PANELS

SERLENGA, Laura;
2016-01-01

Abstract

This paper proposes a unified framework for accommodating both time and cross-sectional dependence in modelling technical efficiency in stochastic frontier models by combining the exogenously driven factor-based approach and an endogenous threshold efficiency regime selection mechanism. This approach is able to deal with both weak and strong cross-sectional dependence in a flexible manner. Using a dataset of 26 OECD countries over 1970–2010, we provide satisfactory estimation results for the production technology parameters and the associated efficiency ranking of individual countries. We find a positive spillover effect on efficiency, supporting the hypothesis that knowledge spillover is more likely to be induced by technological proximity. Furthermore, our approach enables us to identify efficiency clubs endogenously.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11586/186653
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 27
  • ???jsp.display-item.citation.isi??? 27
social impact