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 …

Geographically weighted small area methods have been studied in literature for small area estimation. Although these … approaches are useful for the estimation of small area means efficiently under strict parametric assumptions, they can be very … spatial non-stationarity. Mean squared error estimation is performed by two different analytic approaches that account for the …

Modern systems of official statistics require the estimation and publication of business statistics for disaggregated … area estimation. Recently proposed outlier robust modelbased small area methods assume, however, uncorrelated random …

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 …

Current HICP measurement practices produce an upward bias of about one-ninth of a percentage point in German inflation …

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 …

supply, earnings and welfare over the life cycle. The bias increases part-time employment strongly, induces flatter long … joint taxation. The most significant impact of the bias appears for college-educated women. …

model we exploit the link between the Asymmetric Laplace Distribution and maximum likelihood estimation for quantile …-variance relationship. Mean Squared Error estimation is discussed. Extensive model-based simulations are used for comparing the proposed …