Número:
4
Publicado:
Nicolás Arturo Torres Francoe, 
Eleonora Dávalose, 
Clasificación JEL:
Q12, Q16, Q18
Lo más reciente
Luis E. Arango, Juan José Ospina-Tejeiro, Fernando Arias-Rodríguez, Oscar Iván Ávila-Montealegre, Jaime Andrés Collazos-Rodríguez, Diana M. Cortázar Gómez, Juan Pablo Cote-Barón, Julio Escobar-Potes, Aarón Levi Garavito-Acosta, Franky Juliano Galeano-Ramírez, Eliana Rocío González-Molano, Maria Camila Gomez Cardona, Anderson Grajales, David Camilo López-Valenzuela, Wilmer Martinez-Rivera, Nicolás Martínez-Cortés, Rocío Clara Alexandra Mora-Quiñones, Sara Naranjo-Saldarriaga, Antonio Orozco, Daniel Parra-Amado, Julián Pérez-Amaya, José Pulido, Karen L. Pulido-Mahecha, Carolina Ramírez-Rodríguez, Sergio Restrepo Ángel, José Vicente Romero-Chamorro, Nicol Valeria Rodríguez-Rodríguez, Norberto Rodríguez-Niño, Diego Hernán Rodríguez-Hernández, Carlos D. Rojas-Martínez, Johana Andrea Sanabria-Domínguez, Diego Vásquez-Escobar
Luis Armando Galvis-Aponte, Adriana Isabel Ortega-Arrieta, Adriana Marcela Rivera-Zárate
Carola Müller, Matias Ossandon Busch, Miguel Sarmiento, Freddy A. Pinzón-Puerto
Small family farms account for 72% of the farms in the world. Most of these farms, in developing countries, face labor productivity gaps. One of the strategies to increase agricultural productivity focuses on implementing technical assistance programs. Using agriculture microdata, we estimate the marginal treatment effect of receiving technical assistance services. We find that technical assistance generates heterogeneous effects. On average, agricultural units receiving technical assistance increased their agricultural production by 50.4%. However, there is important heterogeneity of technical assistance’s effects across the production units’ unobserved and observed characteristics.