2012
DOI: 10.1111/j.1477-9552.2012.00366.x
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A Quantile Regression Analysis of the Effect of Farmers’ Attitudes and Perceptions on Market Participation

Abstract: The objective of this study is to investigate the subjective determinants of farmers’ participation in output markets in five EU New Member States (NMS) characterised by large semi‐subsistence sectors. It employs quantile regression to model market participation reflecting the heterogeneity amongst farmers. The study also uses the Bayesian adaptive lasso to simultaneously select important covariates and estimate the corresponding quantile regression models. The empirical results show that only two variables af… Show more

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Cited by 16 publications
(10 citation statements)
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“…The location‐scale mixture representation of the ASL distribution, proposed by Kozumi and Kobayashi () allows one to reformulate this Bayesian quantile model as an alternative conditionally Gaussian representation and hence apply existing sampling techniques available for Gaussian models (see e.g Reed and Yu ). Kostov and Davidova () use the equivalence between Laplace prior and L 1 penalty (aka Bayesian lasso) to construct a Bayesian equivalent to the Koenker () estimator, but their approach is computationally more demanding than that of Yuan and Yin (). Canay () proposes a two‐step estimator that is particularly easy to implement.…”
Section: Methodsmentioning
confidence: 99%
“…The location‐scale mixture representation of the ASL distribution, proposed by Kozumi and Kobayashi () allows one to reformulate this Bayesian quantile model as an alternative conditionally Gaussian representation and hence apply existing sampling techniques available for Gaussian models (see e.g Reed and Yu ). Kostov and Davidova () use the equivalence between Laplace prior and L 1 penalty (aka Bayesian lasso) to construct a Bayesian equivalent to the Koenker () estimator, but their approach is computationally more demanding than that of Yuan and Yin (). Canay () proposes a two‐step estimator that is particularly easy to implement.…”
Section: Methodsmentioning
confidence: 99%
“…Overall, there are two basic estimation approach for QR (a) minimizing the weight absolute deviation, i.e., the most traditional inferential approach of QR, and (b) the maximization of a Laplace likelihood used in developing Bayesian variants of QR. However, we consider the former due to estimation brevity, but Kostov and Davidova (2013) present an overt overview of the latter. The quantile regression is expressed as follows:…”
Section: Conceptual Framework/empirical Strategymentioning
confidence: 99%
“…The authors find that whether or not the growers joined the cooperatives, apple yield, net income, and agricultural income had a significant impact on the farmers' IPM adoption. Kostov and Davidova () employ a quantile regression model to investigate the subjective determinants of farmers’ participation in output markets in the EU. Further, Singh et al () find that social identity can adjust the risk perception of farmers and help them adopt new technologies.…”
Section: Literature Reviewmentioning
confidence: 99%