Samuele Centorrino, Maria Pérez-Urdiales, Boris Bravo-Ureta, Alan J. Wall
arXiv 21 Dec 2023 · Econometrics · publishedJournal of Applied Econometrics (2024) · 3 citations (OpenAlex)
arXiv:2312.13939 · PDF · DOI · OpenAlex · Extracted main text
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.
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The works this paper leans on most, across its whole bibliography — not restricted to papers in our corpus. Ranked by composite intensity, which combines how often a work is mentioned, how many sections mention it, and how much of that falls in the main text rather than the appendix.
| Reference | Intensity | Mentions | Sections | Main text | |
|---|---|---|---|---|---|
| centorrinoperez2019 | unmatched citation key centorrinoperez2019 | 0.974 | 13 | 4 | 92% |
| 2 | Kumbhakar, Tsionas \ Sipiläinen (2009) `Joint estimation of technology choice and technical efficiency: an application to organic and conventional dairy farming', Jour… | 0.956 | 8 | 3 | 88% |
| 3 | Andrews (2001) `Testing when a parameter is on the boundary of the maintained hypothesis', Econometrica 69(3), 683–734 | 0.928 | 4 | 3 | 100% |
| 4 | Ekvall \ Bottai (2022) `Confidence Regions Near Singular Information and Boundary Points With Applications to Mixed Models', Annals of Statistics Forth… | 0.928 | 4 | 3 | 100% |
| 5 | Amsler, Prokhorov \ Schmidt (2017) `Endogenous environmental variables in stochastic frontier models', Journal of Econometrics 199(2), 131 – 140 | 0.843 | 3 | 3 | 100% |
| 6 | Bottai (2003) `Confidence regions when the Fisher information is zero', Biometrika 90(1), 73–84 | 0.843 | 3 | 3 | 100% |
| 7 | Rotnitzky, Cox, Bottai \ Robins (2000) `Likelihood-based inference with singular information matrix', Bernoulli 6(2), 243–284 | 0.811 | 4 | 2 | 100% |
| 8 | Greene (2010) `A stochastic frontier model with correction for sample selection', Journal of Productivity Analysis 34(1), 15–24 | 0.644 | 4 | 1 | 100% |
| 9 | Amsler, Prokhorov \ Schmidt (2016) `Endogeneity in stochastic frontier models', Journal of Econometrics 190(2), 280 – 288 | 0.644 | 2 | 2 | 100% |
| 10 | Wilde (2008) `A simple representation of the Bera–Jarque–Lee test for probit models', Economics Letters 101(2), 119 – 121 | 0.644 | 2 | 2 | 100% |
Showing the top 10 of 57 scored citations. 1 of these could not be matched to a bibliography entry, so only the citation key is shown.
arXiv econ.EM papers that cite this one, ranked by how heavily they lean on it.
| Citing paper | Intensity | Mentions | Sections | |
|---|---|---|---|---|
| 1 | Recent Advances in Causal Analysis of the Stochastic Frontier Model | 0.737 | 3 | 2 |