... the extent to which individual factors influence demand for different levels of insurance premium. Design/methodology/approach The quantile regression approach and farm accountancy data from the Teagasc National Farm Survey are used to model the association between farm/farmer characteristics and farm...

...Hisham S. El-Osta Purpose The determinants of income of rural and urban farm households, with emphasis on the role of off-farm employment by farm household members and of farm size, are examined using data from the 2016 Agricultural Resource Management Survey (ARMS) and quantile regression...

... empirically with quantile regression, which allows estimation of the statistical interrelationship of the DuPont components across the full response distribution. Findings Per the results, variability in the financial performance of US farmer cooperatives is for the most part associated with the operating...

... approach was used for estimating farmers’ TE. Thereafter, ordinary least squares and quantile regression models were applied for unveiling the existing relationship between TE and various dimensions of financial inclusion after controlling all other socio-economic characteristics. Findings The study...

... equality across dairy farms and how these factors differ across the USA. Design/methodology/approach Income and wealth inequality of US dairy farms was estimated by Gini coefficients using data from the 2000 and 2010 ARMS dairy costs and returns data. A population-level quantile regression...

... this issue, empirically we propose a quantile regression approach to estimating the impact of different factors on firm capital structure choice. Quantile regression estimates models for different quantiles, allocating asymmetric weight to absolute residuals (Koenker and Hallock, 2001). It allows us...