Binary Endogenous Treatment in Stochastic Frontier Models with an Application to Soil Conservation in El Salvador

Samuele Centorrino, Maria P\'erez-Urdiales, Boris Bravo-Ureta and Alan J. Wall

Papers from arXiv.org

Abstract: Improving the productivity of the agricultural sector is part of one of the Sustainable Development Goals set by the United Nations. To this end, many international organizations have funded training and technology transfer programs that aim to promote productivity and income growth, fight poverty and enhance food security among smallholder farmers in developing countries. Stochastic production frontier analysis can be a useful tool when evaluating the effectiveness of these programs. However, accounting for treatment endogeneity, often intrinsic to these interventions, only recently has received any attention in the stochastic frontier literature. In this work, we extend the classical maximum likelihood estimation of stochastic production frontier models by allowing both the production frontier and inefficiency to depend on a potentially endogenous binary treatment. We use instrumental variables to define an assignment mechanism for the treatment, and we explicitly model the density of the first and second-stage composite error terms. We provide empirical evidence of the importance of controlling for endogeneity in this setting using farm-level data from a soil conservation program in El Salvador.

Date: 2023-12
New Economics Papers: this item is included in nep-agr, nep-eff and nep-env
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in Journal of Applied Econometrics, 2023

Downloads: (external link)
http://arxiv.org/pdf/2312.13939 Latest version (application/pdf)

Related works:
Working Paper: Binary endogenous treatment in stochastic frontier models with an application to soil conservation in El Salvador (2022)
Working Paper: Binary Endogenous Treatment in Stochastic Frontier Models with an Application to Soil Conservation in El Salvador (2021)
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2312.13939

Access Statistics for this paper

More papers in Papers from arXiv.org
Bibliographic data for series maintained by arXiv administrators ().