Search arXiv⌕ Search
Home/Archive/arXiv

arXiv · 2006.02846

The pain of a new idea: Do Late Bloomers response to Extension Service in Rural Ethiopia?

Alexander Jordan·Marco Guerzoni
View original source ↗Read source document ↗Export metadata ↓

Abstract

The paper analyses the efficiency of extension programs in the adoption of chemical fertilisers in Ethiopia between 1994 and 2004. Fertiliser adoption provides a suitable strategy to ensure and stabilize food production in remote vulnerable areas. Extension services programs have a long history in supporting the application of fertiliser. How-ever, their efficiency is questioned. In our analysis, we focus on seven villages with a considerable time lag in fertiliser diffusion. Using matching techniques avoids sample selection bias in the comparison of treated (households received extension service) and controlled households. Additionally to common factors, measures of culture, proxied by ethnicity and religion, aim to control for potential tensions between extension agents and peasants that hamper the efficiency of the program. We find a considerable impact of extension service on the first fertiliser adoption. The impact is consistent for five of seven villages.

Explore related subjects

econ.EM

Keep this discovery

BibTeXRIS

Alexander Jordan, Marco Guerzoni. 2020-06-04. The pain of a new idea: Do Late Bloomers response to Extension Service in Rural Ethiopia?. https://arxiv.org/abs/2006.02846

Cite the original work for its findings. Save a collection to share your selection of sources.

KEEP EXPLORING

Related papers

arXiv2026

Identification in Linear Quantile Panel Models

This paper studies identification in linear quantile panel models with unrestricted individual heterogeneity when the number of time periods is fixed and small. We impose strict exogeneity, whereby the conditional quantile restriction holds given the individual's complete regressor history and latent individual effect, but otherwise allow the disturbances to be arbitrarily dependent over time.

econ.EM↗
arXiv2026

Experimental Design for Policy Choice

We show how to optimally design experiments when the resulting data will be used to choose a welfare-maximizing policy subject to constraints. A decision maker seeks to maximize Bayes expected welfare by choosing a policy whose effects depend on an unknown finite-dimensional parameter. The decision maker has access to a first wave of experimental data with a fixed design but may choose the design of a second wave that will be collected before choosing the policy. The resulting experimental design--policy choice problem is a very high-dimensional dynamic program that is generally intractable in finite samples. We propose a tractable approximation based on the limit experiment and show it is asymptotically optimal using a new asymptotic representation theorem for adaptive experiments with continuous treatments. We apply the method to a conditional cash transfer experiment and demonstrate the potential for large gains from tailoring the experiment to the policy choice.

econ.EM↗
arXiv2026

Designing Spatial Treatments

Spatial treatments are interventions assigned to locations potentially distinct from those of the responding units. We study their optimal design under a general model in which a unit's response diminishes with distance to a treated site. Our estimand of interest is an ``uncontaminated'' effect equal to the average impact of a single intervention site over all hypothetical sites. We propose a novel design based on a Mat\'{e}rn point process which separates treatments by a distance of at least $r$. A larger choice of $r$ reduces bias by separating interventions but increases variance by reducing their numerosity. We choose $r$ to maximize the rate of convergence of a Horvitz-Thompson estimator and prove that this is minimax rate-optimal. We provide weak conditions under which the estimator is asymptotically normal and propose a variance estimator.

econ.EM↗