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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 …
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The amp;apos'prediction approachamp;apos' proposed by Dearden, Machin and Reed (DMR) consists in (1) regressing the observed incomes of the child and parent families on separate sets of predetermined variables, and (2) regressing the childamp;apos's predicted income on that of the parents....
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horizon. In this paper, the efficiency gains from the joint estimation of forecast uncertainty for all horizons in such …
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omitted ability and family background variables interact in the estimation of returns. On the methodological front, we propose … a semi-parametric estimation approach based on balancing scores and mixture models, in particular allowing for …
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