to panel attrition, which are thought to worsen the bias resulting from initial nonresponse. However, under certain … conditions an initial wave nonresponse bias may vanish in later panel waves. We study such a "Fade away" of an initial … nonresponse bias in the context of regression analysis. By using a time series approach for the covariate and the error terms we …

desirability. By ignoring the heaping process a severe bias in terms of spikes and bumps is introduced when applying kernel density … with potentially asymmetric rounding behaviour in univariate kernel density estimation is presented in this work. The …

regressions, in particular with respect to measurement error and omitted variable bias. …

Modern systems of official statistics require the timely estimation of area-specific densities of sub …-parametric kernel density estimation that reverses the rounding process by using a Bayesian measurement error model. The methodology is …

Among a variety of small area estimation methods, one popular approach for the estimation of linear and non …-linear indicators is the empirical best predictor. However, parameter estimation using standard maximum likelihood methods is not … is often the case for income variables. Therefore, this work proposes an estimation method, which enables the estimation …

stocks (local bias). We hypothesize that individual investors’ local bias is not limited to the domestic sphere but instead … also determines their international investment decisions. Our results confirm the presence of a cross-border local bias … display a significantly lower foreign investment bias towards investment opportunities in that country and (ii) that this drop …