Number:
4
Published:
Nicolás Arturo Torres Francoe, 
Eleonora Dávalose, 
Classification JEL:
Q12, Q16, Q18
The most recent
Juliana Jaramillo-Echeverri, Karina Acosta, Olga Lucia Acosta Navarro, Oscar Iván Ávila-Montealegre, Jhorland Ayala-García, Jaime Bonet-Morón, Jesus Botero, Luz A. Flórez, Daniela Gallo, Luis Armando Galvis-Aponte, Karelys Guzmán-Finol, Eduardo A. Haddad, Ana María Iregui-Bohórquez, David Camilo López-Valenzuela, Ligia Alba Melo-Becerra, Juan J. Ospina-Tejeiro, Andrea Otero-Cortés, Julian A. Parra-Polania, Gerson Javier Pérez-Valbuena, José Pulido, María Teresa Ramírez-Giraldo, Mario A. Ramos-Veloza, Charles Rahal, Jorge Leonardo Rodríguez-Arenas, Shadia Zardibia
Miguel Felipe Vanegas-Vanegas
Camilo Bohorquez-Penuela, Leonardo Bonilla-Mejía, Anabelle Couleau, Alexánder Almeida
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.