-à-vis independent farms by applying a quantile regression approach. Evidence points to little differences among general performance …

. Multiple linear regression and quantile regression models were developed for variance and expected value of farmers’ income. It …

geoadditive quantile regression models. The flexibility of this model class overcomes the problems associated with functional form …

implicit price of cadmium (Cd) pollution. We use a hedonic pricing model, applying both mean regression (OLS) and quantile … regression (QR). Unlike previous hedonic studies using QR, we use unconditional QR (Firpo et al. 2009). The estimates obtained …

to October 13, 2010. Using both standard GARCH model and quantile regression approach, we find the evidence of …

This study revisits Lilien’s sectoral shifts hypothesis for the US. We employ quantile regression estimation in order …

suitable for median regression and exhibit no robustness to outliers. This work develops a quantile regression on linear panel …

) suggestion that internal resources are the key determinants of firm growth rates. To this end, quantile regression is used in …

fast growing economies, we estimate relative mobility via structural quantile regression models. The results indicate that …