Transport infrastructure and technical efficiency in a panel of countries: accounting for endogeneity in a stochastic frontier model

SN Business & Economics
Number: 
34
Published: 

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María Teresa Ramírez-Giraldo, Karina Acosta, Olga Lucia Acosta Navarro, Lucia Arango-Lozano, Fernando Arias-Rodríguez, Oscar Iván Ávila-Montealegre, Oscar Reinaldo Becerra Camargo, Leonardo Bonilla-Mejía, Grey Yuliet Ceballos-Garcia, Luz Adriana Flórez, Juan Miguel Gallego-Acevedo, Luis Armando Galvis-Aponte, Luis M. García-Pulgarín, Andrés Felipe García-Suaza, Anderson Grajales, Daniela Gualtero-Briceño, Didier Hermida-Giraldo, Ana María Iregui-Bohórquez, Juliana Jaramillo-Echeverri, Karen Laguna-Ballesteros, Francisco Javier Lasso-Valderrama, Daniel Márquez, Carlos Alberto Medina-Durango, Ligia Alba Melo-Becerra, María Fernanda Meneses-González, Juan José Ospina-Tejeiro, Andrea Sofía Otero-Cortés, Daniel Parra-Amado, Juana Piñeros-Ruiz, Christian Manuel Posso-Suárez, Natalia Ramírez-Bustamante, Mario Andrés Ramos-Veloza, Jorge Leonardo Rodríguez-Arenas, Alejandro Sarasti-Sierra, Bibiana Taboada-Arango, Ana María Tribín-Uribe, Juanita Villaveces
Wilmer Martinez-Rivera, Manuel Darío Hernández-Bejarano
Carlos David Ardila-Dueñas, Joel Santiago Castellanos-Caballero, Carlos David Murcia-Bustos

In this paper, a production frontier is estimated using stochastic frontier models to assess the contribution of transport infrastructure to countries’ real GDP. We find that the role of infrastructure is underestimated under the exogeneity assumption indicating that handling endogeneity is crucial in the estimation. Potential endogeneity problems may arise in estimating the production frontier due to the relationship between the real GDP and the infrastructure variables. Since economic output might affect the demand and supply of infrastructure and transport infrastructure determines real GDP. We use an instrumental variable (IV) approach in the stochastic frontier models to handle endogeneity. Results suggest that a better infrastructure endowment contributes to economic output, highlighting its importance in explaining countries’ real GDP differences. Efficiency measures indicate that high-income countries are more efficient than low- and middle-income countries, suggesting that there is room for improvement in the latter’s economic production. Also, strong institutions are essential to improve countries’ economic output.